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From the list given to you for each of the following hypothesis testing situations, indicate the non- parametric test you would use and explain the reason 1) X 2 Test for Association (Test # 9) 2) Fisher Exact Test (Test# 10) 3) McNemars test for Matched Pair Data (Test# 11) 4) Two Sample test for independent proportions (Test # 12) a) You want to see whether peoples preferences for caffeinated or decaffeinated coffee (they must choose one or the other) are related to their preferences for regular or decaf coke (again a choice). You have a sample of 100 people and wish to use the .01 significance level Test -----? Why----? b)You are interested in seeing whether the gender of a person is related to whether the persons political affiliation (Republican vs Democrat). You produce this table: Political Party Female Male Democrat 16 4 Republican 5 24 Test: ____________ Why:_____________________ c)The BRFSS report indicated that in 2014, 75% of adult Americans saw a dentist in the past year. An investigator wants to assess whether use of dental services is different among adults living in Chicago. A sample of 100 adults 18 years of age and older is surveyed and 63 reported seeing a dentist over the past 12 months. Is there a significant difference in the proportion of adults living in Chicago who use dental services as compared to the national proportion? Test: ____________ Why:_____________________ d) A researcher is conducting a study to assess the association between a particular drug and breast cancer. He selects a sample of 100 cases of identical twins in which only one twin has breast cancer is selected for further study. The twin with breast cancer is the case. The other twin serves as the control. Each pair of twins is surveyed to determine if they took the drug. The results are summarized in the following two-way table: No Breast Cancer Twin (Control) Breast Cancer Twin (Case) Drug Yes Drug No Total Drug Yes 16 (O 11) 21 (O 12) 37(O1.) Drug No 4 (O 21) 59 (O 22) 63(O 2.) 20 (O .1) 80 (O .2) 100 (O ..) Test: ____________ Why:_____________________.

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Part A Some questions in Part A require that you access data from Statistics for People Who (Think T hey) Hate Statistics . This data is available on the student website under the Student Text Resources link. Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test. Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why? Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the t test statistic. Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected? Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM ® SPSS ® software to complete the analysis for this problem. A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why? In the following examples, indicate whether you would perform a t test of independent means or dependent means. Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective? A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount. A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony. One group of adult men was given instructions in reducing their hi.

Part ASome questions in Part A require that you access data .docx

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Complete Parts A & B Part A Some questions in Part A require that you access data from Statistics for People Who (Think T hey) Hate Statistics . This data is available on the student website under the Student Text Resources link. Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test. Using the same data set (Ch. 11 Data Set 2), test the research hypothesis at the .01 level of significance that there is a difference between boys and girls in the number of times they raise their hands in class. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? You used the same data for this problem as for Question 1, but you have a different hypothesis (one is directional and the other is nondirectional). How do the results differ and why? Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the t test statistic. Using the results you got from Question 3 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected? Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM ® SPSS ® software to complete the analysis for this problem. A public health researcher tested the hypothesis that providing new car buyers with child safety seats will also act as an incentive for parents to take other measures to protect their children (such as driving more safely, child-proofing the home, and so on). Dr. L counted all the occurrences of safe behaviors in the cars and homes of the parents who accepted the seats versus those who did not. The findings: a significant difference at the .013 level. Another researcher did exactly the same study; everything was the same—same type of sample, same outcome measures, same car seats, and so on. Dr. R’s results were marginally significant (recall Ch. 9) at the .051 level. Which result do you trust more and why? In the following examples, indicate whether you would perform a t test of independent means or dependent means. Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective? A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount. A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony. One group of adult men was given instructio.

Complete Parts A & BPart ASome questions in Part A r.docx

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Question 1. [12 marks] Market research has indicated that customers are likely to bypass Roma tomatoes that weigh less than 70 grams. A produce company produces Roma tomatoes that average 74.0 grams with a standard deviation of 3.2 grams. (a) [2 marks] Assuming that the normal distribution is a reasonable model for the weights of these tomatoes, what proportion of Roma tomatoes are currently undersize (less than 70g)? (b) [2 marks] How much must a Roma tomato weigh to be among the heaviest 10%? (c ) [2 marks] The aim of the current research is to reduce the proportion of undersized tomatoes to no more than 2%. One way of reducing this proportion is to reduce the standard deviation. If the average size of the tomatoes remains 74.0 grams, what must the target standard deviation be to achieve the 2% goal? (d) [3 marks] The company claims that the goal of 2% undersized tomatoes is reached.To test this, a random sample of 25 tomatoes is taken. What is the distribution of undersized tomatoes in this sample if the company's claim is true? Explain your reasoning. Question 2: In an article in Marketing Science, Silk and Berndt investigate the output of advertising agencies. They describe ad agency output by finding the shares of dollar billing volume coming from various media categories such as network television, spot television, newspaper, radio, and so forth. Suppose that a random sample of 400 U.S. advertising agencies gives an average percentage share of billing volume from network television equal to 7.46 percent with a standard deviation of 1.42 percent. Further, suppose that a random sample of 400 U.S. advertising agencies gives an average percentage share of billing volume from spot television commercials equal to 12.44 percent with a standard deviation of 1.55 percent. Using the sample information, does it appear that the mean percentage share of billing volume from spot television commercials for the U.S. advertising agencies is greater than the mean percentage share of billing volume from network television? Explain. Module #3: Sampling Distributions, Estimates, and Hypothesis Testing Question 3: [3] Identify which of these types of sampling is used: random, systematic, convenience, stratified, or cluster. a) The instructor of this course observed at a Walnut Creek Police sobriety checkpoint at which every fifth driver was stopped and interviewed. Some drivers were arrested. b) The instructor of this course observed professional wine tasters working at a winery in Napa Valley, CA. Assume that a taste test involved three different wines randomly selected from each of five different wineries. c) The U.S. Department of Corrections collects data about returning prisoners by randomly selecting five federal prisons and surveying all of the prisoners in each of the prisons. d) In a Gallup poll, 1003 adults were called after their telephone numbers were randomly generated by a computer, and 20% of t ...

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Sheet1idsbpgestage139272242334025458335533564327739318442895229104530114528124026134128144033153531162929173928183425193732204233212623224429234427242925255028263629274831284031294233304830313026324029332525345229353125363528374431384230395229404228413627424324434333445131453928464233473429483127494427503928514329522727533627544732554431565128574027584531594429603628 Question1 A cross-sectional study was conducted to examine the effect of gestational age on systolic blood pressure (SBP) of low birth weight babies who weigh less than 1500 gms. Data was collected on 60 such babies and posted on Moodle in the Excel file Assign2Q1.xls. The dataset contains the following variables. ID: Participant ID number sbp = Systolic blood pressure (mmHg) gestage = gestational age in weeks a) What are the study factor and the outcome factor? b) To explore the association, calculate the correlation coefficient and interpret it? c) Conduct a simple linear regression using Stata and report the Stata output. What are the assumptions for a linear regression? Examine the assumptions with the support of relevant graphs and statistics. d) Write down the regression equation and interpret the regression coefficients and their 95% confidence interval from part c. e) What is the expected systolic blood pressure of a newborn whose gestational age is 24 weeks? Show your workings. Page 2 of 9 PHCM9498EpidemiologyandStatistics– Question2 A case-control study was planned to investigate whether there was an association between a mother being diagnosed with toxaemia (A condition in pregnancy, also known as pre-eclampsia characterized by abrupt hypertension, albuminuria and oedema) and the baby being born with low birth weight. The research team wished to recruit the cases and controls from antenatal clinics. Based on a pilot study, the team expected that the odds ratio of the association in question would be 2.5 using a two-sided significance test and the prevalence of toxaemia among women giving birth to a normal weight baby is 6%. a) If equal number of cases and controls could be recruited in this study, how many in each group would be required to achieve 90% power at 5% level of significance? Include a screenshot of your Stata command and output with your response. b) One of the researchers thought that prevalence of toxaemia among the controls would be 4%. i. What effect will this have on the required sample size to detect an OR of 2.5 with the same power and level of significance as in part a)? ii. If the prevalence of toxaemia in the control group is uncertain, would it be preferable to assume that 4% or 6% of the control mothers have the condition? Describe your reason. c) A similar study on the same source population found that approximately 80% of the mothers approached for the study would agree to participate. From this information, how many mothers of newborn will need to be approached to achieve the sample size that you est.

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2 4. A researcher is interested in the level of ideological consistency among Democrats and Republicans. She creates a measure of ideological consistency that ranges from 0 (total lack of consistency) to 10 (absolute consistency). What kind of statistical test should the researcher employ? A. Chi-Square B. Guessing C. Differences of Means Test D. Correlation 5. Regression in appropriate when our dependent variable is measured at what level of measurement? A. Interval B. Ordinal C. Nominal D. Dummy 6. A type one error occurs… A. When we incorrectly fail to reject the null hypothesis even though it is false B. When we have measurement error in one of our variables C. When we incorrectly reject the null hypothesis even though it is true D. When the results of our analysis do not support our alternative hypothesis 7. Below are four different hypotheses, which of the four should be tested using a one tailed test? A. Democrats and Republicans will differ in their support for tax cuts B. Republicans will be more supportive of tax cuts than Democrats C. Republicans and Democrats will not differ in their support for tax cuts D. Support for tax cuts will differ by party 8. In Chi Square testing our expected frequencies are… A. The frequencies we would expect to observe if the null hypothesis was true B. The frequencies we actually observe 3 C. The frequencies we would expect to observe if the alternative hypothesis was true D. The frequencies we would expect to observe if the null hypothesis was false 9. A researcher is interested in testing whether males and females differ in their level of political knowledge. To test this the researcher administers a political knowledge test to a sample of 10 males and 10 females. Tests are scored out of 100 points. What statistical test should the researcher use to test her hypothesis that males and females will differ in their level of political knowledge. (Hint think about what test is appropriate for the level of measurement of these variables) A. Correlation B. Chi Square C. Difference of Means Test D. Standard Deviation 10. Outliers are a particular problem for which statistical test? A. Correlation B. Regression C. Difference of Means D. Chi Square 11. In regression our constant (Y intercept) is equal to: A. The predicted value of Y when all of the X’s in our model = 0 B. The expected change in Y associated with a one unit change in X C. The predicted value of X when all the Y’s in our model = 0 D. The expected change in X associated with a one unit change in Y 12. If we decrease our probability of making a Type 1 error we… A. Decease our probability of making a Type 2 error B. Increase our probability of making a Type 2 error C. Have the same probability of making a Type 2 error D. Have 0 probability of making a Type 2 error 4 13. Correlation and regression ana ...

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Lane – Ch. 14 2. The formula for a regression equation is Y’ = 2X + 9. a. What would be the predicted score for a person scoring 6 on X? b. If someone’s predicted score was 14, what was this person’s score on X? 6. For the X,Y data below, compute: a. r and determine if it is significantly different from zero. b. the slope of the regression line and test if it differs significantly from zero. c. the 95% confidence interval for the slope. X Y 4 6 3 7 5 12 11 17 10 9 14 21 Lane – Ch. 17 5. At a school pep rally, a group of sophomore students organized a free raffle for prizes. They claim that they put the names of all of the students in the school in the basket and that they randomly drew 36 names out of this basket. Of the prize winners, 6 were freshmen, 14 were sophomores, 9 were juniors, and 7 were seniors. The results do not seem that random to you. You think it is a little fishy that sophomores organized the raffle and also won the most prizes. Your school is composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors. a. What are the expected frequencies of winners from each class? b. Conduct a significance test to determine whether the winners of the prizes were distributed throughout the classes as would be expected based on the percentage of students in each group. Report your Chi Square and p values. c. What do you conclude? 14. A geologist collects hand-specimen sized pieces of limestone from a particular area. A qualitative assessment of both texture and color is made with the following results. Is there evidence of association between color and texture for theselimestones? Explain your answer. COLOR COLOR COLOR Texture Light Medium Dark Fine 4 20 8 Medium 5 23 12 Coarse 21 23 4 Illowsky – Ch. 11 True or False 70. The standard deviation of the chi-square distribution is twice the mean. 102.Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at apopular breakfast place is shown inTable 11.55. Conduct a test for homogeneity at a 5% level of significance. French Toast Pancakes Waffles Omelettes Men 47 35 28 53 Women 65 59 55 60 Use the following information to answer the next twelve exercises:Suppose an airline claims that its flights are consistentlyon time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is nomore than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes. 113.df= _______ 117. Let a = 0.05 Decision: _______ Conclusion (write out in a complete sentence): _________ The Regress ...

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1. In 2006, Merck released a vaccine named Gardasil for HPV - the most common cause of cervical cancer among young women. The company conducted four placebo controlled double blind clinical studies of women aged 16 to 26. The results were Treatment n Cervical cancer cases n Genital wart cases Gardasil 8487 0 7897 1 Placebo 8460 32 7899 91 (a): Give a 98% confidence interval for the differences in the proportion of young women who develop cervical cancer with and without the vaccine. Lower confidence level: Upper confidence level: (b): Give a 98% confidence interval for the differences in the proportion of young women who develop genital warts with and without the vaccine. Lower confidence level: Upper confidence level: 2. Here is data on the age (in months) that 20 children said their first words of English. 15 26 10 9 15 20 18 11 8 20 7 9 10 11 11 10 12 17 11 10 If you treat this as an SRS, does it provide evidence at significance level 4% that the mean age at first word is greater than 12 months? (a): Give the associated P-value. P-value:: 3. Here is data on the age (in months) that 20 children said their first words of English. 15 26 10 9 15 20 18 11 8 20 7 9 10 11 11 10 12 17 11 10 Treat this as an SRS. Use it to provide a 90% confidence interval of the mean age in months at which children say their first words. Lower confidence level: Upper confidence level: 4. Fabrics respond differently to the same dye. Clothing manufacturers need to be able to match the colors of different fabrics. A researcher dyed samples of cotton and of ramie with a dye called procion blue, applied in the same way to each sample. Then she measured the lightness of the color with a colorimeter on a scale in which black is 0, white is 100. Here are the data for 8 pieces of each fabric. Cotton: 48.82 48.88 48.98 49.04 48.68 49.34 48.75 49.12 Ramie: 41.72 41.83 42.05 41.44 41.27 42.27 41.12 41.49 Do these samples provide evidence significant at the 1% level that the dye affects the cotton and ramie fabrics differently? Formulate H0 and Ha. a. Give the test statistic: b. Give the P-value: c. Your decision for the hypothesis test: A. Reject Ha. B. Reject H0. C. Do Not Reject H0. D. Do Not Reject Ha. 5. Fabrics respond differently to the same dye. Clothing manufacturers need to be able to match the colors of different fabrics. A researcher dyed samples of cotton and of ramie with a dye called procion blue, applied in the same way to each sample. Then she measured the lightness of the color with a colorimeter on a scale in which black is 0, white is 100. Here are the data for 8 pieces of each fabric. Cotton: 48.82 48.88 48.98 49.04 48.68 49.34 48.75 49.12 Ramie: 41.72 41.83 42.05 41.44 41.27 42.27 41.12 41.49 Evidently one procedure gives darker colors than the other. Make a confidence interval estimate for the mean darkness of cotton minus the mean darkness of ramie after this dye procedure. Use 99% as your confidence level. Lower Confidence Le ...

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STAT225: Introduction to Statistics in the Behavioral Sciences 1. In a school election, five people run for student body president. The actual number of votes for each candidate would be a(n) variable. If the total number of votes were removed and the candidates were listed in order of least to most popular, this would be a(n) variable. a. ratio; ordinal b. ordinal; ratio c. ratio; nominal d. nominal; ordinal 2. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the explanatory/independent variable? a. type of leadership position b. the 12 women in the study c. the gender of the participants d. the participants' attitudes toward women in leadership positions 3. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the response/dependent variable? a. type of leadership position b. the 12 women in the study c. the gender of the participants d. the participants' attitudes toward women in leadership positions Please use the following information to answer questions 4 through 9 An industrial psychologist at a company has heard that desk bikes could help employees to lose weight, increase their stamina, and improve productivity. Sixteen employees were provided with desk bikes and the total number of pounds they lost, after one month, was recorded. Here are the data, in pounds lost, per employee: 4 8 12 0 2 20 18 0 12 6 12 16 10 8 12 4 4. What is the range of this distribution? a. 0 t o 20 b. 20 c. 18 d. 4 5. What is the mean number of pounds that were lost by the employees in one month? a. 9.88 b. 10.4 c. 12 d. 9 6. What is the median number of pounds that were lost by the employees in one month? a. 8 b. 9 c. 10 d. 11 7. What is the variance of the number of pounds that were lost by the employees in one month? a. 37.33 b. 9.72 c. 9.85 d. 6.11 8. What is the Interquartile range for this distribution? a. 4 b. 8 c. 9 d. 12 9. How many outliers are in this distribution? a. 0 b. 1 c. 2 d. Unable to determine from this information The following graph depicts the typical relationship found between physiological arousal (anxiety) levels (e.g., range from 0 = no anxiety to 10=extreme anxiety) and test performance (e.g., percentage of correct answers on test). Please use the following information to answer questions 10 and 11. 100% Test Performance (in Percentage) 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Relationship Between Physiological Arousal Level and Test Performance 0 2 4 6 8 10 Physiological Arousal Level 10. Based on this graph, what type of relation exists between physiological arousal level and test performanc.

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GESTIN DE REGISTROS Los archivos Tickler son una forma de.pdf

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GESTIN DE PROYECTOS Fighting a Global Pandemic AstraZeneca es una compaa biofarmacutica global con sede en Cambridge, Inglaterra, con ingresos de $ 26.6 mil millones (2020). RETO: El reto era: Del laboratorio al jab a la velocidad de la luz. A medida que el COVID-19 se propag por todo el mundo en la primavera de 2020, AstraZeneca reconoci la necesidad de una vacuna eficaz contra el COVID-19 para vencer al virus. En abril de 2020, AstraZeneca uni fuerzas con la Universidad de Oxford para marcar una diferencia significativa y salvar vidas. Esta asociacin histrica reuni experiencia de clase mundial en vacunologa con la capacidad de AstraZeneca para ofrecer una solucin global a escala. Los socios de investigacin de AstraZeneca en la Universidad de Oxford haban demostrado una respuesta inmunitaria en estudios preclnicos y algunos resultados clnicos iniciales alentadores que proporcionaron una base para confiar en que una vacuna podra desarrollarse rpidamente. La capacidad de fabricacin comprobada y la cadena de suministro global de AstraZeneca permitiran un rpido progreso desde el laboratorio de investigacin hasta el desarrollo de una vacuna altamente efectiva, con un perfil de seguridad favorable que podra administrarse en todo el mundo. AstraZeneca y la Universidad de Oxford se comprometieron a proporcionar la vacuna sin fines de lucro. Este compromiso con el acceso amplio y equitativo asegur que la vacuna estara disponible a un costo durante la pandemia y accesible para los pases de bajos ingresos despus de que la pandemia disminuya. Sin embargo, para tener xito, AstraZeneca tendra que hacer que cada dlar cuente. Resultados clave: hasta julio de 2021, AstraZeneca ha lanzado mil millones de dosis para el suministro a 170 pases. CONTEXTO: riesgo, complejidad y visibilidad Desde el momento en que AstraZeneca anunci pblicamente una asociacin de vacunas con la Universidad de Oxford el 30 de abril de 2020, el proceso que emprendi fue diferente al de cualquier otra tecnologa que haba desarrollado en el pasado, con mucha ms incertidumbre y complejidad. y visibilidad. Riesgo Las incertidumbres y los riesgos de reputacin inherentes al proyecto de la vacuna fueron significativos. La necesidad de velocidad exigi grandes inversiones simultneas en el programa clnico de Fase 3 para la autorizacin de uso de emergencia por parte de organismos reguladores como la Administracin de Drogas y Alimentos de los EE. UU. (FDA), as como la configuracin de la capacidad de fabricacin en todo el mundo. Por lo general, estas inversiones se habran realizado despus de aos de trabajo y mitigacin de riesgos en lugar de semanas despus de ver los resultados clnicos iniciales en la Fase 2. La empresa tuvo que dedicar recursos y talento superior al proyecto sin comprometer el resto de su cartera. Era muy consciente del riesgo para la reputacin asociado con la entrega de una vacuna a escala mundial a una velocidad sin precedentes. El proceso de gestin de riesgos tambin requerira un c.

GESTIN DE PROYECTOS Fighting a Global Pandemic AstraZeneca.pdf

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Gevek fikri mlkiyet yasalarna sahip bir lke A lkedeki .pdf

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George produces computer software (user friendly). His firm's production function is Q=1K+2L, where Q is the programs, K is capital employed, and L is the labour used. If George faces factor prices of Pk=6 and PI=6, the cheapest way to produce Q=60 is: Part 1: By using how many units of capital? Part 2: By using how many units of labour? If George faces factor prices of Pk=8 and PI =24, the cheapest way to produce Q=60 is Part 3: By using how many units of capital? Part 4: By using how many units of labour?.

George produces computer software user friendly His firm.pdf

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Geretione: a a coworkr bi mereme F. anintern 1. a mogntith Silect ane hiopreas and diny your tenotons 7. Te abily to enevinise with eehers. F. ate var undertanaing ar teeing to dha with motion shastices. 4. the abirnits ieferet nithinesple who hovedifernit erropiona brusherithnes? Stiket ose I atilfea diftruience til integrityThe nomwibi mestages between pecole have the following functions EXCEP? Spiect one: goikg aling with peples speeches deiverng a piece of infocmution articulately expresisig poople y emctions d. depaying tomo part of people's persionalities Pesple ire dependert on each sther because hutian beings are all Selina one: istipectal b- thisthe c-imintie a falubie.

Geretione a a coworkr bi mereme F anintern 1 a mogntith S.pdf

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Geologic maps show the distribution of rock units at the surface as well as structural features, such as faults and folds. A geologic map is usually printed on top of a regular topographic map (the base map) to help you locate yourself on the map. The base map is printed with light colors, so it doesn't interfere with seeing the geologic features on the map. The geology is represented by colors, lines, and symbols unique to geologic maps. Each color used on a geologic map represents a different geologic unit. A unit is a specific type of rock of a specific age range (for example, a Permian limestone, a contact late Triassic sandstone, etc). All exposures of rocks of the same age and type are shown with the same color and are separated from other rocks by a line representing the contact between them. The two main types of contacts shown on most geologic maps are depositional contacts and faults. Where the original depositional contact between geologic units is preserved, it is shown on the geologic map as a thin line. If the rocks are in contact because of a fault, a thicker line is used to represent the fault, and the relative motion along the fault, if known, is indicated by labeling the upthrown side and downthrown side of the fault. For low angle (thrust) faults the teeth are on the upthrown (hanging wall) block. Each geologic unit is assigned a set of letters to symbolize it on the map. Usually the symbol is the combination of a capital letter followed by one or more small letters. The capital letter represents the age (geologic period) of the unit. Examples include Q (Quaternary), K (Cretaceous), and C (Cambrian). The small letters indicate either the name of the unit, if it has one, or the type of rock, if the unit has no name. Many geologic units are named based on where their characteristics are bestdisplayed, or where they were first studied. For example, Jm is the map symbol for the Morrison formation, a stratigraphic unit of Jurassic age first studied near Morrison, Colorado but exposed throughout Colorado, Wyoming, and Utah (the Morrison formation is the source of many dinosaur fossils). Js would be unnamed shale (s for shale) that is Jurassic in age. Sedimentary rocks form in broad, flat layers (beds) that may later be tilted or bent by tectonic forces. The spatial orientation of tilted rock layers is described in terms of strike and dip. Strike is the compass direction of a line formed by the intersection of a horizontal plane (the surface of the Earth) and an inclined surface (the titled rock layer). Dip is the angle between a horizontal plane and the inclined surface and is always measured perpendicular to strike. On geologic maps " T " shaped-symbols are used show the strike and dip of each rock unit. The top of the "T" is the line of strike and the short arm of the " T " illustrates the dip direction in degrees. The higher the number, the steeper the bed with 90 being perpendicular to the surface (vertical). In the example h.

Geologic maps show the distribution of rock units at the sur.pdf

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GEOL 102 Catalyst Question What are exotic terranes How do .pdf

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GEOGRAFA DE MCHIGAN 1. Cul de las siguientes comunidades tribales de los Tres Fuegos habitaba las costas y los principales cursos de agua, dependiendo de los peces y la vida marina? a.Potawatomi b.Odawa c.Cherokee d ojibway 2. Al comienzo del contacto europeo, las comunidades tribales nativas de los Tres Fuegos eran aliados cercanos de los franceses. una verdad b.Falso 3. La Ordenanza del Noroeste, que prepar el escenario para la identificacin de tierras pertenecientes a Michigan, se form en la "Taberna Racimo de Uvas" una verdad b.Falso 4. Durante el asentamiento britnico en lo que ahora es Michigan, cul de los siguientes no ocurri? a.Introduccin de la enfermedad b.Poblaciones nativas cediendo gran parte de sus tierras c. Comercio de pieles lucrativo y armonioso entre las poblaciones nativas y britnicas. d.Disminucin significativa de la poblacin indgena 5. Cul no fue la percepcin general de la tierra por parte de los colonos que ingresaron a Michigan? a. Tierras densamente arboladas b. Interior poblado c. Tierras de cultivo oportunistas d. Riqueza de los suelos de las praderas.

GEOGRAFA DE MCHIGAN 1 Cul de las siguientes comunidade.pdf

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geography questions 1. which of the following would be a catalyst for migration a. war b. economic conditions c. environmental conditions d. all of the above 2. today one form of forced migration comes in form of a. people leaving their countries bc of poverty b. migrants who escape political oppression c. migrants who escape an environmental disaster d. illegal migrants who are returned to their countries of origin.

geography questions 1 which of the following would be a cat.pdf

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