abcd Part of the information released in the Employment Situatio.pdf

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abcd Part of the information released in the Employment Situation Summary concerns how long individuals have been unemployed. Go to www.bls.gov to find the latest report. Use the same technique as in Practice Questions Problem 1 to find the Employment Situation Summary. Near the end of the Employment Situation, click on Table A-12, titled "Unemployed persons by duration of unemployment." Use the seasonally adjusted numbers to answer the following questions. a. How many workers were unemployed less than 5 weeks? What percentage of all unemployed workers do these workers represent? How do these numbers compare to the previous month's data? b. How many workers were unemployed for 27 or more weeks? What percentage of all unemployed workers do these workers represent? How do these numbers compare to the previous month's data? c. How long has the average worker been unemployed (average duration, in weeks)? How does this compare to the average for the previous month's data? d. Comparing the latest month for which there are data with the previous month, has the problem of long-term unemployment improved or deteriorated?.

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Title ABC/123 Version X 1 Time to Practice – Week Four PSYCH/625 Version 1 1 University of Phoenix Material Time to Practice – Week Four Complete Parts A, B, and C below. Part A Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Text Resources link. 1. 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. 2. 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? 3. 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. a. b. c. 4. 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? 5. 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. 6. 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? 7. In the following examples, indicate whether you would perform a t test of independent means or dependent means. a. Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective? b. 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. c. A group of adolescent boys was offered interp ...

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PSYC 317 – Spring 2015: Exam 1 Answer the questions below to the best of your ability. Partial credit will be awarded where possible. You MUST SHOW YOUR WORK for full credit for calculation problems. Short Answer (17 points) Dr. Franzen wants to examine a new form of therapy he’s been reading about. The therapy is designed to help those who experience severe anxiety. To assess how well this new therapy works, he collects a sample of 20 participants who had extreme anxiety at the start of the study. He randomly assigns participants to receive either the new therapy or traditional anxiety therapy. After one month, he assesses the level of anxiety for each participant using a survey with a scale from 0 to 7, where 0 represents having no anxiety whatsoever and 7 represents having extreme anxiety. Assume equal distances between consecutive numbers. 1. What type of design is this (1 point)? 2. What is the independent variable / predictor (1 point)? 3. What is the dependent variable / criterion (1 point)? 4. On what scale of measurement is the dependent variable / criterion measured (1 point)? Dr. Bristow believes that where a student lives influences how much alcohol they consume such that students who live closer to campus will drink more and those who live farther away will drink less. She gives a survey to students asking them how far from campus they live (in miles) and how much alcohol they consume each week (in number of drinks). 5. What type of design is this (1 point)? 6. What is the independent variable / predictor (1 point)? 7. What is the dependent variable / criterion (1 point)? 8. On what scale of measurement is the dependent variable / criterion measured (1 point)? 9. What does it mean if a set of scores has a s = 0? (1 point) 10. What does your data distribution look like if mean < median < mode? Please describe it in words (though you may also draw a picture if you wish). (1 point) 11. Suppose M = 8 and s = 12. If I subtracted 3 from every score in my sample, what would happen to the sample mean and standard deviation? (2 points) 12. Statistics have two general purposes. Describe both ways that we use statistics. (3 points) 13. If someone has a Z-score of -2, what can you conclude? (1 point) 14. What transformation allows researchers to compare two measurements of the same construct with different operational definitions (i.e., different metrics)? (1 point) Problems (41 points) Remember you MUST show your work to receive full credit. X f 0 1 1 1 2 1 3 3 4 3 5 5 6 5 7 3 1. Using the above data, find the mean, median, and mode (3 points): Mean = Median = Mode = Are the data skewed? If so, in which direction are they skewed? (2 points): 2. Standardize the following set of scores (use σ, nots; 5 points): 5, 8, 9, 11, 12 3. Using the concept of real limits, compute the range of the following data (1 point): 2, 8, 6, 5, 10, 14, 7, 9, 13 4. The following set of scores has a mean of 10. Find SS, s2, and ...

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Get introduced to the tools necessary to optimize your organization’s current data, enabling you to turn data into information to tell the story of the organization’s impact in a powerful way. Contact Karen Finn of Results Leadership Group and/or Katherine Mowers of Community IT Innovators to explore how you can simplify and maximize your organization's impact data. This presentation includes: 1. An overview of Results-based Accountability and an approach for identifying impact performance measures (activity during workshop session); 2. Where to start to assess your current organizational data and business systems in light of these performance measures; 3. An introduction to a process for reviewing software and determining a system that will be most useful to the organization’s operations. 4. An overview of software options used to support performance management, demonstrate impact and help to strategically plan for improvements. We are happy to have a conversation about where you are at - and where you want to go - with your performance management and nonprofit business systems.

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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.

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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. 1. Use the following data to answer Questions 1a and 1b. Total no. of problems correct (out of a possible 20) Attitude toward test taking (out of a possible 100) 17 94 13 73 12 59 15 80 16 93 14 85 16 66 16 79 18 77 19 91 a. Compute the Pearson product-moment correlation coefficient by hand and show all your work. b. Construct a scatterplot for these 10 values by hand. Based on the scatterplot, would you predict the correlation to be direct or indirect? Why? 2. Rank the following correlation coefficients on strength of their relationship (list the weakest first): +.71 +.36 –.45 .47 –.62 3. Use IBM ® SPSS ® software to determine the correlation between hours of studying and grade point average for these honor students. Why is the correlation so low? Hours of studying GPA 23 3.95 12 3.90 15 4.00 14 3.76 16 3.97 21 3.89 14 3.66 11 3.91 18 3.80 9 3.89 4. Look at the following table. What type of correlation coefficient would you use to examine the relationship between ethnicity (defined as different categories) and political affiliation? How about club membership (yes or no) and high school GPA? Explain why you selected the answers you did. Level of Measurement and Examples Variable X Variable Y Type of correlation Correlation being computed Nominal (voting preference, such as Republican or Democrat) Nominal (gender, such as male or female) Phi coefficient The correlation between voting preference and gender Nominal (social class, such as high, medium, or low) Ordinal (rank in high school graduating class) Rank biserial coefficient The correlation between social class and rank in high school Nominal (family configuration, such as intact or single parent) Interval (grade point average) Point biserial The correlation between family configuration and grade point average Ordinal (height converted to rank) Ordinal (weight converted to rank) Spearman rank correlation coefficient The correlation between height and weight Interval (number of problems solved) Interval (age in years) Pearson product-moment correlation coefficient The correlation between number of problems solved and the age in years 5. When two variables are correlated (such as strength and running speed), it also means that they are associated with one another. But if they are associated with one another, then why does one not cause the other? 6. Given the following information, use Table B.4 in Appendix B of Statistics for People Who (Think They) Hate Statistics to determine whether the correlations are significant and how you would interpret the results. a. The correlation between speed and strength for 20 women is .567. Test these results at the .01 level using a one-tailed test. b. The correlation between the number co.

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CriteriaRatingsPts This criterion is linked to a Learning OutcomeSubjective Data (CC, HPI, PMH, Allergy identification, Medication Reconciliation, Social History, Family History, Health Promotion, and ROS) PT105-CO2 5 pts Level 5 All elements of subjective data are adeptly documented and demonstrate consistent information across all aspects represented. 4.5 pts Level 4 All elements of subjective data are appropriately documented and demonstrate consistent information across all aspects represented. 4 pts Level 3 All elements of subjective data are satisfactorily documented but do not demonstrate consistent information across all aspects represented. 3.5 pts Level 2 All elements of subjective data are either not satisfactorily documented or do not demonstrate consistent information across all aspects represented. 3 pts Level 1 All elements of subjective data are not satisfactorily documented and do not demonstrate consistent information across all aspects represented. 0 pts Level 0 No elements of subjective data are evidenced in the assignment. 5 pts This criterion is linked to a Learning OutcomeObjective Data (Relative to the information documented in the CC, HPI, PMH, and ROS) PT105-CO2 5 pts Level 5 All elements of objective data are adeptly documented and demonstrate consistency. 4.5 pts Level 4 All elements of objective data are appropriately documented and demonstrate consistency. 4 pts Level 3 All elements of objective data are satisfactorily documented but do not demonstrate consistency. 3.5 pts Level 2 All elements of objective data are either not satisfactorily documented or do not demonstrate consistency. 3 pts Level 1 All elements of objective data are not satisfactorily documented and do not demonstrate consistency. 0 pts Level 0 No elements of objective data are evidenced in the assignment. 5 pts This criterion is linked to a Learning OutcomeAssessment (Information documented in the CC, HPI, PMH, ROS and the objective data.) PT105-CO2 5 pts Level 5 Assessment designations and other elements in this section are adeptly documented and demonstrate congruence. 4.5 pts Level 4 Assessment designations and other elements in this section are appropriately documented and demonstrate congruence. 4 pts Level 3 Assessment designations and other elements in this section are satisfactorily documented but do not demonstrate congruence. 3.5 pts Level 2 Assessment designations and other elements in this section are either not satisfactorily documented or do not demonstrate congruence. 3 pts Level 1 Assessment designations and other elements in this section are not satisfactorily documented and do not demonstrate congruence. 0 pts Level 0 Assessment designations and other elements in this section are not evidenced in the assignment. 5 pts This criterion is linked to a Learning OutcomePlan (Demonstrate application of current clinical practices for the identified assessment designations, and demonstrates congruence of information across all aspects ...

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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.

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Data Analysis Team A performed a series of analysis on behalf of the management of Ballard Integrated Managed Services, Inc. (BIMS). These tasks were the result of an emerging trend of attrition and employee dissatisfaction within their organization. The initial actions taken involved data collection that were presented in the form of an internal employee survey. The data collection analysis revealed our hypothesis and we set out to prove that the increase in employee turnover was due to low employee morale and poor employee performance. The initial survey leads us to a very low response rate of 17.3%—we did not achieve our goal of obtaining the feedback of the vast majority of BIMS employees. By utilizing our initial findings we analyzed, displayed, and interpreted, the outcome shows that BIMS was experiencing high turnover due to lack of proper pay and poor communication within the business. This information provided seemed promising from the perspective that we were narrowing down the core issues within the company; it is never enough for management to determine an effective course of action or forecasting. The inferences made through our descriptive analysis approach made use of all three levels of measurement and dispersion and helped us rank the limited feedback on scale of one through five, changing the ordinal and ratio feedback into a numerical value, when necessary. The demographic based questions were significant collected data based on years of service, division, gender and role and facilitated in our manipulation of the survey data. In combination, we were able to scratch the surface on a pattern of data that ranked very negatively and that also met the condition of our hypothesis—so all was not lost in our initial attempt. The research that was done for Ballard was to determine if the employees were satisfied with their work conditions and was there fair treatment from the company. The survey sent out would ask workers about working conditions, shifts, training, pay, fair treatment and the company itself. The survey was attached to their bi weekly paychecks asking them to return by a certain date. A reminder was sent out as well to encourage participation. The response to this survey was very low only 17.3 % took the time to even respond. However the data collected did provide was quantitative it provided numerical information to possibly give insight on correcting the current employment issues. The survey sent out was a measurement on a scale from 1 to 5; five being positive and 1 negative rate the following questions. The questions consisted of do you enjoy working for the company? Do you like your shift? How was your training? Are you being paid fairly? Then basic questions to pinpoint your gender, department and position in the company. The survey was given to determine the decrease in morale in the company and the increase of turnover of employees. Out of the 449 employees given the survey only 78 were returne.

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Aadaki ifadelerden hangisi solucan iin dorudur? Kendini bir ana programa balamadan yaylabilen bamsz bir programdr. Genellikle popler bir programn iine gizlenir, ancak kendini kopyalayamaz. Bir sistem tasarmcsnn bir sistemin gvenliini atlamasna ve daha sonra dosyalara erimek iin sisteme gizlice geri dnmesine olanak tanr. Meru kullanclarn sisteme eriimini engellemek iin bir a veya sunucuyu hizmet istekleriyle doldurur. A. Kendini bir ana programa balamadan yaylabilen bamsz bir programdr. B. Genellikle popler bir programn iine gizlenir, ancak kendini kopyalayamaz. C. Bir sistem tasarmcsnn bir sistemin gvenliini atlamasna ve daha sonra dosyalara erimek iin sisteme gizlice geri dnmesine olanak tanr. D. Meru kullanclarn sisteme eriimini engellemek iin bir a veya sunucuyu hizmet istekleriyle doldurur..

Aadaki ifadelerden hangisi solucan i�in dorudur Kendini bir ana p.pdf

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Aadaki ifadelerden hangisi YANLI? A.Baarl stratejistler, zayf bir ekilde desteklenen fikirlerin ve nerilerin eylemsizlik nedeniyle lmesine izin verir. B.Baarl stratejistler, kabul edilemez olarak kabul edilen ancak aka kar klmayan gl bir ekilde desteklenen fikirler iin ek engeller veya testler oluturur. C.Baarl stratejistler, kabul edilemez teklifler konusunda dk bir siyasi profil tutarlar ve olumsuz kararlarn ounun astlarndan veya grup fikir birliinden gelmesine izin vermeye alrlar. D.Baarl stratejistler genellikle icra kurulu bakan veya bakan unvanlarna sahiptir. E.Baarl stratejistler genellikle yanardnerdir..

Aadaki ifadelerden hangisi YANLI A.Baarl stratejistler, zayf bir .pdf

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Alteran Corporation purchased office equipment for $2.0 million at the beginning of 2022. The equipment is being depreciated over a 10-year life using the double-declining-balance method. The residual value is expected to be $800,000. At the beginning of 2024 (two years later), Alteran decided to change to the straight-line depreciation method for this equipment. Required: Prepare the journal entry to record depreciation for the year ended December 31, 2024..

Alteran Corporation purchased office equipment for $2.0 million at t.pdf

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Allied Merchandisers was organized on May 1. Macy Company is a major customer (buyer) of Allied (seller) products. May 3 Allied made its first and only purchase of inventory for the period on May 3 for 2,000 units at a price of $10 cash per unit (for a total cost of $20,000). May 5 Allied sold 1,500 of the units in inventory for $14 per unit (invoice total: $21,000) to Macy Company under credit terms 2/10, n/60. The goods cost Allied.

Allied Merchandisers was organized on May 1. Macy Company is a major.pdf

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