Mr. Jones and the New WorksheetMr. Jones wanted to check if ther.docx

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Mr. Jones and the New Worksheet Mr. Jones wanted to check if there was an observable impact of a particular worksheet on his students’ test scores for Chapter 1. His idea was to test if there was a significant variation in the average test score of the class that used the worksheet in comparison to the class that did not. In the class before lunch, he used the worksheet but not the class after lunch. He has 23 students in each of the two classes. Their test scores are below: Before Lunch After Lunch 86 79 23 67 59 45 74 46 98 67 38 90 81 80 14 79 32 72 38 63 35 84 51 38 31 60 18 56 57 20 44 70 68 43 27 33 24 16 16 14 31 58 24 30 82 95 a. Which test are you using? b. What are your H0 (null hypothesis) and Ha (alternative hypothesis)? c. Calculate your statistic. d. What decision does this inform you to make and why? (You may use the critical value in the chart or the calculated p-value, but you must indicate what you are doing.) e. Write a one to two sentence conclusion that correctly responds to the question. Use APA format to report your statistic ex. [(df)=1.1, p<.05] 1. A particular resource class must perform at a level consistent with the rest of the school to avoid being discontinued. On the first quarter statewide test, the mean score of the school was 84. The 14 students in the resource class had a 76.17 mean test score and a 17.52 standard deviation. The district informs the principal that the class should be discontinued because the average is below that of the rest of school. Is this reasonable or does the principal have evidence to support an argument against this decision? 0. Which test are you using? 0. What are your H0 (null hypothesis) and Ha (alternative hypothesis)? 0. Calculate your statistic. 0. What decision does this inform you to make and why? (You may use the critical value in the chart or the calculated p-value, but you must indicate what you are doing.) 0. Write a one to two sentence conclusion that correctly responds to the question. Use APA format to report your statistic ex. [(df)=1.1, p<.05] .

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a. Which test are you using?
b. What are your H0 (null hypothesis) and Ha (alternative
hypothesis)?
c. Calculate your statistic.
d. What decision does this inform you to make and why? (You
may use the critical value in the chart or the calculated p-value,

but you must indicate what you are doing.)
e. Write a one to two sentence conclusion that correctly
responds to the question. Use APA format to report your
statistic ex. [(df)=1.1, p<.05]
1. A particular resource class must perform at a level consistent
with the rest of the school to avoid being discontinued. On the
first quarter statewide test, the mean score of the school was 84.
The 14 students in the resource class had a 76.17 mean test
score and a 17.52 standard deviation. The district informs the
principal that the class should be discontinued because the
average is below that of the rest of school. Is this reasonable or
does the principal have evidence to support an argument against
this decision?
0. Which test are you using?
0. What are your H0 (null hypothesis) and Ha (alternative
hypothesis)?
0. Calculate your statistic.
0. What decision does this inform you to make and why? (You
may use the critical value in the chart or the calculated p-value,
but you must indicate what you are doing.)
0. Write a one to two sentence conclusion that correctly
responds to the question. Use APA format to report your
statistic ex. [(df)=1.1, p<.05]

Similar to Mr. Jones and the New WorksheetMr. Jones wanted to check if ther.docx

Practice Problems: Chapter 10 For this lesson, we will be comparing two group population values (or two paired observations for those in the population). There are some subtle differences in the formulas used for computing the Standard Error used in both our Confidence Intervals of the Difference and in our Hypothesis Tests which are noted in the instructions below. 1) We wish to compare the population proportion of those graduates who pass the Bar Exam on the first try for two small law schools. The researcher has randomly selected graduates from the previous 4 years graduating classes and asked those selected if they passed the Bar Exam on the first try. Law School A had 150 out of 200 sampled who indicated that they passed the Bar Exam on the first try. Law School B had 170 out of 250 sampled who indicated that they passed the Bar Exam on the first try. We wish to see if there is a difference between the population proportions of those who passed the Bar Exam on the first try for the two law schools (p1 is for School A, p2 is for School B). A) First, we want to construct a 95% Confidence Interval of the Difference between the two population proportions. Here we use SE = We use this SE formula for confidence intervals of the difference between population proportions. i) Calculate your SE. Show all work ii) What is your Z multiplier? iii) Construct your 95% Confidence Interval of the Difference. Show all work and indicate the endpoints. iv) Is there a difference in the two group population proportions? Why or why not? B)Now, do a Hypothesis Test to see if there is a difference between the two population proportions. i) Since we are testing to see if there is a difference, our alternative is that there is a difference and our null is that there is no difference: Ho: p1-p2 = 0; Ha: p1 - p2 ≠ 0 Given that the null hypothesis is that there is no difference (ie: assuming equal population values), we use the pooled to calculate our SE = Calculate and . Show all work. ii) Calculate our Z test statistic. Show all work. iii) What is the p-value of our Z test statistic? Show all work. iv) What is your conclusion and why? 2) We wish to test whether a program teaching social skills to elementary students has an effect on social skills in third graders. In one elementary school, we randomly assign three classes out of six classes of third graders to participate in the program. The three classes who do not participate in the program act as the control group. We are told that the composition of the six classes is similar in terms of gender composition, IQ, etc. Every third grader is evaluated by their teacher and given a social skills assessment score at the beginning of the study. Higher scores mean the student has a higher level of social skills. At the end of the eight week program all students are then evaluated again by their teacher and given a social skills assessment .

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Ashford 4: - Week 3 - Discussion 1 Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated. ANOVA In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example? Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on why you agree or disagree with the statistical test that your peers have described as appropriate in this scenario. Ashford 4: - Week 3 - Discussion 2 Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated. Effect Size Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data? Ashford 4: - Week 3 - Assignment Problem Set Week Three Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations. All statistical calculations will use the Employee Salary Data Set and the Week 3 assignment sheet. Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment. See comments at the right of the data set. ID Salary Compa Midpoint Age Performance Rating Service Gender Raise Degree Gender1 Grade 8 23 1.000 23 32 90 9 1 5.8 0 F A The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10 22 0.956 23 30 80 7 1 4.7 0 F A Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. 11 23 1.000 23 41 100 19 1 4.8 0 F A 14 24 1.043 23 32 90 12 1 6 0 F A The column labels in the table mean: 15 24 1.043 23 32 80 8 1 4.9 0 F A ID – Employee sample number Salary – Salary in thousands 23 23 1.000 23 36 65 6 1 3.3 1 F A Age – Age in years Performance Rating – Appraisal rating (Employee evaluation score) 26 24 1.043 23 22 95 2 1 6.2 1 F A Service – Years of service (rounded) Gender: ...

Ashford 4 - Week 3 - Discussion 1Your initial discussio.docx

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Name________________________________ PSU ID_____________________________ STAT 100 Lesson 13 Assignment Answer the following questions and submit for grading. Each question or part of a question is worth 1 point except: 1, 2A, 2B, 2C, 3E, 4E, 5D, & 6C are worth 2 points; 7- 7 is worth 6 points. 1. An ESP experiment is done in which a participant guesses which of 8 cards the researcher has randomly picked, where each card is equally likely to be selected. This is repeated for 200 trials. The null hypothesis is that the subject is guessing, while the alternative is that the subject has ESP and can guess at higher than the chance rate. Write out the type 1 and type 2 errors in terms of this problem. 2. For each of the following, write out the null and alternative hypotheses. Also identify what type of data is found. Refer to the information inTable 13.1. a. Do female students, on the average, have a higher GPA? b. Is there a linear relationship between height and weight? c. Is there a difference in the proportions of male and female college students who smoke? 3. A Researcher asked a sample of 50 1st grade teachers and a sample of 50 12th grade teachers how much of their own money they spent on school supplies in the previous school year. The researcher wanted to see if the mean spending at one grade level is different from the mean spending at another grade level. Two-sample T for 1st_Grade vs 12th_Grade N Mean StDev SE Mean 1st_Grade 50 111.2 88.9 13 12th_Grade 50 49.5 38.8 5.5 Difference = mu 1st_Grade - mu 12th_Grade Estimate for difference: 61.7 95% CI for difference: (34.3, 89.1) T-Test of difference = 0 (vs not =): T-Value = 4.50 P-Value = 0.000 DF = 66 Figure A.1. a. What is the response variable in this problem? b. What is the explanatory variable in this problem? c. What type of variable is the response variable? categorical or measurement d. What is the appropriate population value for this problem? population mean or population proportion e. Write out the null and alternative hypotheses in terms of the appropriate population value. f. On the output in Figure A.1 the test statistic is 4.50. Use this test statistic to write a one-sentence interpretation of the p-value in terms of this problem. g. What conclusion can be made in terms of this problem? Why? h. Using the 95% confidence interval of the difference as your basis, do you think practical significance has been found with regard to the mean amount spent when comparing 1st grade teachers to 12th grade teachers? Include reasoning. Hint: Refer to Example 13.10. 4. A survey asked 2000 people whether or not they frequently exceed the speed limit. The collected data is summarized in the following contingency table. The goal is to determine if there is a difference in the population proportion that say “yes” when comparing those who are under 40 years in age to those who are at least 40 years in age. .

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Educational Psychology 565 Practice Quiz (use α = .05 unless otherwise stated). 1. A small school district wants to know what type of teaching/learning is most effective at helping students learn to read. Three methods are proposed (top-down, bottom-up, and interactive). It is believed that the gender of the teacher may also be important in student learning, so the study also aims to determine if gender of the teacher is important. There are 12 schools in the district, and each school has 1 second grade class (each class has 10 students). Two female teachers and two male teachers’ classrooms are randomly assigned to each of the three methods (all 12 teachers have just been hired in the district). At the end of the year, the students all took a 100 item standardized multiple-choice reading test called the “EZreading” test (note: the analysis was performed at the student level). Coding: teachgender = gender of teacher: 1= men, 2 = women Teachmeth = teaching method (1=top-down, 2=bottom-up, 3=interactive) EZread = scores on the Ezread reading test Use SPSS output “SPSS printout for question 1”to help answer the parts below. a. What is/are the independent variable(s) in this experiment (Be specific)? What level of measurement is/are the IV(s)? Explain why? b. What is/are the dependent variable(s) in this experiment (Be specific)? What level of measurement is/are the DV(s)? Explain why? c. State the null hypotheses and alternative hypotheses for the factors and the interaction in symbols and words. d. Do you think the assumption of homogeneity of variance has been met? Support your answer. e. Do you think the assumption of independence has been met? Support your answer. f. Calculate Cohen’s d for the difference between the top-down and interactive methods. Explain what Cohen’s d means for this comparison. g. Is the interaction of the two factors statistically significant? Explain your answer. h. Report the results of the study along with an interpretation for the results. You do not need to write up the results like a results section; you can just report the findings with statements about each factor and the interaction of the two factors. Be sure to cite evidence from your analysis. i. Based on the results of the study what would you recommend about teaching method and gender of teachers? 2. Answer the following questions. Source SS df MS F Between 100 20 Within 2 50 Total 200 7 a. Complete the ANOVA source table (fill in all blank spaces) b. How many people are in this study. (hint: use degrees of freedom) c. What is the critical F at α = .01? Would you reject the null hypothesis? Explain your answer. d. What are the critical F at α = .05? Would you reject the null hypothesis? Explain your answer. e. Why do the conclusions from items c and d differ? Explain your answer in terms of Type I and II errors. 3. A researcher wants to kn.

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Assignment 2: LASA 2: Comprehensive Quiz By Saturday, July 12, 2014 complete the comprehensive quiz. This quiz is made up of short answer, multiple choice, True/False and application based questions designed to assess your business statistic’s knowledge. The quiz covers all the material presented in the class. Complete the entire quiz, answer the questions thoroughly and provide as much information as needed in your response. Use the lecture notes, text, and outside resources to state your answers. Leave no question unanswered. Assignment 1 Grading Criteria Maximum Points Short answer questions 30 True and false questions 6 Calculations 29 Multiple Choice questions 36 Word Problems 24 Critical Thinking questions 175 Total: 300 1. What type of research uses numeric measurement data? 2. What type of research uses a research hypothesis? 3. What type of research does not use statistical data analysis? 4. What type of research preempts all other types of research endeavors 5. Business research is a type of ________________ inquiry. 6. What are the three main types of non-probability sampling used in business research? 7. In a situation where in a confidence level .01 what percent of the measurement results are left to chance? 8. What is the most important ingredient in a statistical testing procedure? 9. If a production manager wanted to determine whether or not the first shift was processing more widgets than the second shift, what type of statistical process would be used? 10. What type of t test seeks to determine whether or not a relationship exists in one sample over two conditions? _______________. 11. Which of the examples below represent the Ratio level of scaling? A) A high temperature of 83 degrees Fahrenheit B) A survey result that 24 students work full time, 36, part time. C) Bill is consistently rated most effective communicator of his group. D) Gallup says that 60% of the voters support the incumbent. E) Pick up three pounds of ground beef please. F) Patty acts as expected based on her first-born family position. G) Seattle at an altitude of 67 feet is higher than Death Valley at an altitude of – 120. H) The door is 37 inches wide, the door frame is 36 inches wide. [removed] B, C and F [removed] D, E and G [removed] C, F and H [removed] A, E and H 12. Select those issues that only relate to selecting a specific statistical test. (Do not select items common to all tests or not applying to statistical tests.) The distribution (shape) of the population (e.g., normal, skewed, flat, etc.) [removed] The measurement scale/nature of the data being evaluated (nominal, ordinal, interval or ratio) [removed] The size of the population (assuming it is much larger than any samples) [removed] The level of significance (_) you wish to place on the test results [removed] Whether you have matched/related or unmatched/unrelated samples [remov.

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Week 5 Homework Homework #1 Ms. Lisa Monnin is the budget director for Nexus Media Inc. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information. Sales ($) 129 137 142 162 137 145 Audit ($) 128 98 128 140 148 110 132 At the 0.1 significance level, can she conclude that the mean daily expenses are greater for the sales staff than the audit staff? (a) State the decision rule. (Round your answer to 3 decimal places.) Reject H0 if t > (b) Compute the pooled estimate of the population variance. (Round your answer to 2 decimal places.) Pooled variance (c) Compute the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic (d) State your decision about the null hypothesis. H0 : μs ≤ μa (e) Estimate the p-value. (Round your answers to 3 decimal places.) p-value Homework #2 Suppose you are an expert on the fashion industry and wish to gather information to compare the amount earned per month by models featuring Liz Claiborne attire with those of Calvin Klein. Assume the population standard deviations are not the same. The following is the amount ($000) earned per month by a sample of Claiborne models: $5.4 $4.3 $3.7 $6.7 $4.9 $5.9 $3.1 $5.2 $4.7 $3.5 5.8 4 3.1 5.6 6.9 The following is the amount ($000) earned by a sample of Klein models. $2.5 $2.6 $3.5 $3.4 $2.8 $3.1 $4 $2.5 $2 $2.9 2.7 2.3 (1) Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.) Degrees of freedom (2) State the decision rule for 0.01 significance level: H0: μLC ≤ μCK; H1: μLC > μCK. (Round your answer to 3 decimal places.) Reject H0 if t> (3) Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic (4) Is it reasonable to conclude that Claiborne models earn more? Use the 0.01 significance level. H0. It is to conclude that Claiborne models earn more. Homework #3 A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below. Statistic Men Women Sample mean 23.82 21.38 Population standard deviation 5.91 4.87 Sample size 34 36 At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month? (a) Compute the value of the test statistic. (Round your answer to 2 decimal places.) Value of the test statistic (b) What is your decision regarding on null hypothesis? The decision is the null hypothesis that the means are the same. (c) What is the p-value? (Round your answer to 4 decimal places.) p-value rev: 04_04_2012, 04_25_2014_QC_48145 Homework #4 Suppose the manufacturer of Advil, a common headache remedy, recently developed a new formulation of the drug that is claimed to be more effective. To evaluate the new drug, a s.

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Assignment 2: Tests of Significance Throughout this assignment you will review mock studies. You will needs to follow the directions outlined in the section using SPSS and decide whether there is significance between the variables. You will need to list the five steps of hypothesis testing (as covered in the lesson for Week 6) to see how every question should be formatted. You will complete all of the problems. Be sure to cut and past the appropriate test result boxes from SPSS under each problem and explain what you will do with your research hypotheses. All calculations should be coming from your SPSS. You will need to submit the SPSS output file to get credit for this assignment. This file will save as a .spv file and will need to be in a single file. In other words, you are not allowed to submit more than one output file for this assignment. The five steps of hypothesis testing when using SPSS are as follows: 1. State your research hypothesis (H1) and null hypothesis (H0). 2. Identify your confidence interval (.05 or .01) 3. Conduct your analysis using SPSS. 4. Look for the valid score for comparison. This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’. We will call this “p”. 5. Compare the two and apply the following rule: a. If “p” is < or = confidence interval, than you reject the null. Be sure to explain to the reader what this means in regards to your study. (Ex: will you recommend counseling services?) * Be sure that your answers are clearly distinguishable. Perhaps you bold your font or use a different color. ASSIGNMENT 2(200) WORD MINIUM 1. They allow us to see if our relationship is "statistically significant". (Remember that this only shows us that there is or is not a relationship but does NOT show us if it is big, small, or in-between.) 2. It let's us know if our findings can be generalized to the population which our sample was selected from and represents. This week you will decide which test of significance you will use for your project. For this class your choices for tests will include one of the following: · Chi-square · t Test · ANOVA We will be using a process for hypothesis testing which outlines five steps researchers can follow to complete this process: 1. Write your research hypothesis (H1) and your null hypothesis (H0). 2. Identify and record your confidence interval. These are usually .05 (95%) or .01 (99%). 3. Complete the test using SPSS. 4. Identify the number under Sig. (2-tail). This will be represented by "p". 5. Compare the numbers in steps 2 and 4 and apply the following rule: 1. If p < or = confidence interval, than you reject the null hypothesis Determine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain how that impacts your research and best describes the relationship between variables. TEST QUESTIONS-NEED FULL ANSWERS Q1 Make up and discuss research examples corresponding to the various ...

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Name ______________________________ Signature ___________________________ QSO 510 Quantitative Analysis for Decision Making Winter 2012 Mid-term Exam - Instructor: Dr. Derek Kane Instructions 1. This exam is taken in-class, you may use any notes or books that you care to. You may only use your own notes. 2. The exam only requires the use of a hand calculator. You may use notes you have taken on the 3. Answer all questions in the context of the problem. General answers are not expected. 4. You must show all steps including formulas used and all calculations done to arrive at the final answers. Incomplete solutions will receive partial credit. 5. Use at least four significant digits at all intermediate steps. Round off the final answers appropriately. Note: 0.0042 is only two significant digits as leading zeros are not considered significant. Trailing zeros are considered significant. 6. You only need to do four problems. If you do all five problems indicate which four you want me to grade. 7. You are welcome to ask questions you have on the problems. Please do not ask any questions relating to the solution of any problem. 8. You must work on the exam by yourself. (For Instructor’s use) Problem Points 1 2 3 4 5 Total Problem 1 (25 points) You have an assembly line which produces 5kg bags of flour with a standard deviation of 0.5kg. a) Assuming the distribution of weight is normal, what is the chance any single bag’s weight is between 4.8kg and 5.2kg? b) If you chose 60 bags at random, what would be the expected average weight of the bags in your sample? What would the standard deviation of the sample average be? What is the shape of this distribution? Give reasons for your answers. c) If you pulled a sample of 64 bags, what is the chance that you would find the average weight was less than 4.95kg? Write your answers in the space below and continue on the next page. a) We have Calculate the z-scores Look up the probabilities and finish. b) The mean is still 5, the standard deviation is The shape is Gaussian because we have more than 30 items in the sample and the Central Limit Theorem applies. c) We have Calculate the z-scores Look up the probabilities and finish. Problem 2 (25 points) We want to look at US attitudes toward the federal government. Suppose that we sample 1011 US citizens about whether they are satisfied with the size and power of the federal government and find that 293 are satisfied with the size and power of the federal government. a) Compute the sample proportion and sample standard deviation of people who are satisfied with the federal government’s size and power. b) Construct a 95% confidence interval for people who support President Obama’s decision. c) If you are working for CNN, how would you explain the confidence interval to your audience? Does the confidence interval seem small enough? If not, how would you make the interval smaller? Provide a clear and complete answer. Begin you.

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PSYC 354 Homework 8 Single-Sample T-Test When submitting this file, be sure the filename includes your full name, course and section. Example: HW8_JohnDoe_354B01 Be sure you have reviewed this module/week’s lesson and presentations along with the practice data analysis before proceeding to the homework exercises. Complete all analyses in SPSS, then copy and paste your output and graphs into your homework document file. Answer any written questions (such as the text-based questions or the APA Participants section) in the appropriate place within the same file. Part I: Concepts Questions 1–3 These questions are based on the Nolan and Heinzen reading and end-of-chapter questions. Part I: Questions 1a-1g Fill in the highlighted blanks with the best word or words. 1-a) You use a t-test when you know the population ________ but not the population ________. 1-b) The t-statistic indicates the distance of a sample mean from the ________ in terms of estimated standard error units. 1-c) The 2 groups compared in the single-sample t-test are the sample and the ________. 1-d) The number of scores that are free to vary when you are estimating a population parameter from a sample is called the ________. 1-e) A researcher reports the results of a single-sample t-test as t(58) = 2.50. The degrees of freedom for this t-test are ______, which means there were ____ total participants in the researcher's sample. 1-f) Based on the t tables, the critical values of the t-statistic for a two-tailed test with df = 9 and a p level of 0.05 are ________. 1-g) When your t-statistic in your results exceeds your critical cutoffs, you ________ the null hypothesis. Part I: Question 2-3 End-of-chapter problems: Complete the following exercises. If applicable, remember to show work in your homework document to receive partial credit. 2) Explain what each part of the following statistical phrase represents, as it would be reported in APA format: t(6) = 1.98, p = .047 t Answer 6 Answer 1.98 Answer p Answer .047 Answer 3) Calculate the critical degrees of freedom and identify the critical t value for a single-sample t test in each of the following situations: 3-a) Two-tailed test, N = 10, p = .10 df= Answer critical t = Answer 3-b) Two-tailed test, N = 47, p = .05 df= Answer critical t = Answer 3-c) One-tailed test, N = 80, p = .01 df= Answer critical t = Answer Part II: SPSS Analysis Module/Week 8 Exercise File 1 Open the “Module/Week 8 Exercise File 1” document (found in the course’s Assignment Instructions folder) in order to complete these exercises. Part II: Exercises 1-3 Use file: Module/Week 8 Exercise File 1 End-of-chapter exercise 9.37 in Nolan and Heinzen text · End-of-chapter exercise 9.37 in Nolan and Heinzen describes a study of anger and mood in a sample of 60 Marines following a month-long intense training exercise. · The anger scores for 6 fictional Marines are entered in the Module/Week 8 Exercise File 1 documen ...

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