Category: Statistics homework help

 
MAKE SURE TO SAVE YOUR SPSS/PSPP OUTPUT AS A PDF AND TURN IN WITH YOUR RESPONSES and be sure to properly label your responses]
1) Is there a relationship between a person’s age (AGE) and the number of hours spent per day watching TV (TVHOURS)? Use the GSS 2018 data to test this relationship.
Make a prediction:
What is the mean (average) number of hours people spend watching television each day? _________
Would expect the correlation between age and television viewing to be
Negative Nonexistent Positive
Now perform the analysis and find:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Do people tend to watch more or less TV as they age More Less
How would you explain these findings?
2A) Using the STATES10 data, perform a test to see if there is a relationship between the percent of the population that graduated high school (EDS131) and median earnings of male full-time workers (EMS168) in the state.
Summarize and interpret your findings below:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in SPSS/PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Use the Scatterplot function under graph (Include Scatterplot here or with the output)
How would you explain these findings as part of an information strategy to lobby for additional resources to prevent high school drop-outs?  
A) How would you interpret this result without just reference to the level of significance?  What do you observe in the findings?  Be specific.
2B) How does the percent graduated (EDS131) relate to the median earnings of female full-time workers (EMS169)? Is the relationship the same as for male workers (EMS168)?
Summarize and interpret your findings below
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in SPSS/PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Include a scatterplot
How would you explain these findings?  Is there a difference?  
If, yes, what could explain any difference?  From a policy standpoint should this be a concern?
2C) Percent of the Population with a Bachelor’s Degree or More (EDS154) and Median Earnings of Female Full-Time Earnings (EMS169)Correlation       __________Significance Level   ___________Is the relationship statistically significant?   _____________From a policy standpoint what do any differences suggest should be done.  Be specific.
3) Is there a relationship between the average salary of classroom teachers (EDS125) and the percent of the population that has graduated high school (EDS131). Use the STATES10 data to test this relationship. Summarize and interpret your findings below:
Now perform the analysis and find:
Correlation __________________ (Pearson’s)
Significance Level __________________ (as stated in SPSS/PSPP output below the correlation coefficient )
Is the relationship statistically significant? Yes No
Include a scatterplot
How would you explain these findings?
Based on these results-from a policy standpoint, what could be done?
IMPORTANT: After you have submitted your assignment the answers will be made available below.  If you have any responses that are incorrect, resubmit your corrected responses along with explanations of what you did incorrectly no later than two days after the due date.

 
1) You will report the information listed below for both the GSS 2012 & GSS 2018 data sets: Examine the relationship between attitudes toward the level of national assistance for childcare (NATCHILD) and the sex of the respondent (SEX). Fill in the following information:
Make a prediction
What percent of Americans believe we spend too little for childcare? ________________
Do you think men and women vary on their perspectives on this issue?
YES         NO
Now perform the analysis and report the requested information  (Use a cross tab and remember the chi square is to determine if there is a significant difference in the percentages between group/categories that could not be credited to chance:                      
         2012/2018
Percentage of men (out of only men) stating the current level is too little ___________/_____________
Percentage of women  (out of only women) stating the current level is too little _________/_______________
Chi Square significance level __________/______________
Make sure you are reporting the level of significance (NOT the chi-square score) as stated in the PSPP output.
Is the relationship statistically significant YES NO (2012)/YES  NO (2018)
A) How would you interpret this result beyond just reference to the level of significance?  (what do the findings suggest?  Interpret).  Do not just restate the statistics without any interpretation, and include mention of the 2008 findings in your discussion. Be sure to expand on the findings reported and do not include anything about missing data)
2) You will report the information listed below for the GSS 2018 data sets:
You will report the information listed below for the GSS 2018 data sets: Examine the relationship between race (RACE) and whether a person supports the death penalty for murder (CAPPUN), whether one ever approves of police striking a citizen (POLHITOK), and the belief that Whites are hurt by affirmative action (DISCAFF). Fill in the following information:
Make a prediction
What percent of Americans support the death penalty? __________
Do you think Whites and Blacks vary on their perspectives on this issue (CAPPUN)? YES NO
Do you think Whites and Blacks vary on their perspectives on this issue (POLHITOK)? YES NO
Now perform the analysis and find:
A) CAPPUN BY RACE
Percentage of whites (out of only whites) that disapprove:________________________
Percentage of African Americans (out of only African Americans) that disapprove  ________________________
Percent of Others (out of only Others) that disapprove ________________________
Chi Square significance level ________________________ 
Is the relationship statistically significant?
B) POLHITOK BY RACE
Percentage of whites (out of only whites) that say no:________________________
Percentage of African Americans (out of only African Americans) that say no ________________________
Percent of Others (out of only Others) that say no ________________________
Chi Square significance level ________________________
Is the relationship statistically significant? 
C)  DISCAFF BY RACE
Make a prediction
What percent of Americans believe whites are hurt by affirmative action? ___________
Do you think Whites and Blacks vary on their perspectives on this issue? YES NO
Now perform the analysis and find:
Percentage of Whites (out of only whites) saying “Somewhat likely” ______________________
Percentage of Blacks (out of only African Americans) saying “Somewhat likely”  ______________________
Percentage of others (out of only Others) saying “Somewhat likely”  ______________________­­­­­
Chi Square significance level _______________________
Report the level of significance (NOT the chi-square score) as stated in the PSPP output.
Is the relationship statistically significant YES NO
A) How would you interpret this result beyond just reference to the level of significance?  Do not just restate the statistics without any interpretation.  What do you observe in the findings- (beyond what is asked for above)-patterns? Be specific.
3) You will report the information listed below for the GSS 2018 data sets: Examine the relationship between general happiness (HAPPY) and marital status (MAR1). Fill in the following information:
Make a prediction
What percent of Americans are “very happy”? ________________
Who is the happiest? People who are (underline one):
Married Divorced Never married
Now perform the analysis and find:
Percentage of married individuals (out of only married people) who are “very happy” ________________________
Percentage of divorced individuals (out of only divorced people) who are “very happy” ________________________
Percentage of never married individuals (out of only never married people) who are “very happy” ________________________
Chi Square significance level ________________________
Report the level of significance (NOT the chi-square score) as stated in the SPSS/PSPP output.
Is the relationship statistically significant YES NO
A) How would you interpret this result without just reference to the level of significance?  Do not just restate the statistics without any interpretation. What do you observe in the findings- (beyond what is asked for above)-patterns? be specific?
4).  In the absence of performing an analysis, make a prediction: What percent of Americans view their health as either “excellent”, “good”, “fair” and “poor”?  Then use the GSS2018 data, run a frequency on HEALTH, and also create a pie chart.  Describe your findings below and explain the extent to which your predictions conformed to the findings.  What do these findings suggest about health in America?  Exclude missing cases.                  
Predicted Percent      
Excellent                      ___________                 
Good                           ___________                    
Fair                              ___________                    
Poor                            ___________
How close were your predictions?  If they differed, what do you think was the reason? 
Valid Percent      
Excellent                      ___________                 
Good                           ___________                    
Fair                              ___________                    
Poor                            ___________
Provide a PIE CHART and a BAR GRAPH:
What do these findings suggest about the state of health in America?  Policy implications given perceptions versus the reality of health in America? 
5)  Using the GSS 2018 data, examine the relationship between sex (SEX) and the belief that a woman will not get a job or promotion over a man (DISCAFFW).
Fill in the following information: 
Make a prediction
What percent of Americans believe women are less likely to get a job or promoted over a man:
                                                                                                                        ___________
Do you think males and females vary on their perspectives on this issue?                          YES    NO
Now perform the analysis and find:
Percentage of men (out of only men) saying “Very Likely”                             _____________
Percentage of women (out of only women) saying “Very Likely”                        ___________
Chi Square significance level                                                                                       __________________
Is the relationship statistically significant              YES     NO
A) How would you interpret this result without just reference to the level of significance?  Do not just restate the statistics without any interpretation.  What do you observe in the findings- (beyond what is asked for above)-patterns? Compare with the 2012 findings from the discussion. Be specific.

 
Program Evaluation Assignment 2
The program Evaluation Assignments will focus on ethical and/or practical concerns as well as provide examples of program evaluation research.
Address the following:
1. What is the NEP/SEP research question? Provide the direct quote-properly cited (reference APA Publication Manual for guidance with citation format).  Do not quote from the Abstract.  Why is the question being asked?  
2. Briefly describe the sample in terms of size, important characteristics, location, and time.  
3. What are the primary dependent and independent variables? 
4. Describe how the data was collected.
5. What is the most important finding?  Was the research question answered? 
Second, based on the section in the Program evaluation text, Chapter 13 on “Culturally Sensitive Evaluation Practice” discuss the implications of race (and other marginalized populations) as well as other socioeconomic factors for program evaluation in general and for this particular study.  You should draw on ideas from the supplemental readings but not summarize them. This latter part should be 40-50% of the paper.  The two parts should be about an equal length. 
By the Program Evaluation Assignment 2 due date, submit a one-page document (single-spaced, 1” margins) that clearly and concisely summarizes the above information as well as the cultural (ethnic/racial) and economic issues that must be considered when developing program assessment for NEP/SEP.  Be sure to follow APA and writing academic paper guidelines.  IMPORTANT: These are not original research papers so DO NOT follow that format–you are learning to do a clear and concise summary of the research including the important points of that research>
Draw on the provided article(s) but feel free to draw on other academic research as well.
Williams, C. T., & Metzger, D. S. (2010). Race and Distance Effects on Regular Syringe Exchange Program Use and Injection Risks: A Geobehavioral Analysis. American Journal of Public Health, 100(6), 1068–1074.
Required Supplemental ReadingsBauer, G.R. & Wayne, L.D. (2005).  Cultural Sensitivity and Research Involving Sexual Minorities.  Perspectives on Sexual and Reproductive Health, 37(1), 45-47Zunner, B.P. & Grace, P.J. (2012).  Ethical Issues: The Ethical Nursing Care of Transgender Patients. The American Journal of Nursing 112(12), 61-64.Rosenkrantz, D. E., Black, W. W., Abreu, R. L., Aleshire, M. E., & Fallin-Bennett, K. (2017). Health and health care of rural sexual and gender minorities: A systematic review. Stigma and Health, 2(3), 229–243. IMPORTANT: Do not provide any commentary about the program, personal background information, etc. Just address what is asked for.  

 
Using data visualization to better determine which measures of central tendency and spread you should use.
Using the STATES10 data set:
1. Generate measures of central tendency and spread. Report the measures of central tendency and spread, and provide a scatterplot for the following variables.  If using SPSS, provide a box plot as well. For scatterplots, place STATEID on the X-Axis.  
A. PCI_15 (Per Capita Income: 2015)
B. CRS63 (Prisoners under Sentence of Death: 2008)
C. HrtDRT17 (Heart Disease Mortality Rate: 2017)
For each of variables, report which measure of central tendency (pick 1) and spread (pick 1) do you think would work best based on the available information?
2. Using the GSS2018 dataset, what is the proper graph (scatterplot, histogram, bar chart)-make sure to provide it, and report what you think is the correct measure of central tendency. Why?
A. REALRINC (R’s Income in constant $)
B. PARTNERS5 (How many sex partner’s R has in last 5 year)
C. RELITEN (Strength of Affiliation)
3. Using the GSS2018 dataset, what is the proper graph (scatterplot, histogram, bar chart-make sure to provide it), for:
A. HAPPY (General Happiness) by SEX (Respondent’s Sex)
B. ANCESTRS (Believe in Supernatural Power of Deceased Ancestors) by SEX (Respondent’s Sex)

Instructions attached below along with the article that you will use to complete the assignment on word document. 

 
According to a survey by paint manufacturer, DuPont, 22% of all cars in the United States are red. Suppose 20 cars are randomly selected and the number of red cars are recorded.  Round probabilities to 4 decimal places.
Explain why this is a binomial experiment.
Find and interpret the probability that exactly 6 cars are red.
Find and interpret the probability that fewer than 6 cars are red.
Find and interpret the probability that at least 6 cars are red.
Compute the mean and standard deviation of the binomial random variable.
Please show work 

 The following data represent the speed at which a ball was hit​ (in miles per​ hour) and the distance it traveled​ (in feet) for a random sample of home runs in a Major League baseball game in 2018. Complete parts​ (a) through​ (f).  
​(a) Find the​ least-squares regression line treating speed at which the ball was hit as the explanatory variable and distance the ball traveled as the response variable.
Speed (mph) Distance (feet)
103.0 393
105.3 420
103.5 422
105.5 414
105.4 418
100.3 392
103.5 395
107.9 441
101.4 399
98.0 395
100.8 394
103.4 394
n Critical Values for Correlation Coefficient
3 0.997
4 0.950
5 0.878
6 0.811
7 0.754
8 0.707
9 0.666
10 0.632
11 0.602
12 0.576
13 0.553
14 0.532
15 0.514
16 0.497
17 0.482
18 0.468
19 0.456
20 0.444
21 0.433
22 0.423
23 0.413
24 0.404
25 0.396
26 0.388
27 0.381
28 0.374
29 0.367
30 0.361

Please see attachement with instructions
1- in word doc-  
-Submit your research question- If it needs explanation include 1-2
paragraphs. 
-Data Collection- Submit a clean dataset. This means it should not have any extra text or
code in it. If it should be formatted, keep it organized such as a comma separated file.
– Project Organization
1. Show where you get the data from and describe your dataset.
2. Explain your statistical research questions and methods. Apply at
least two
3. Share the conclusion (answer)
2- paper is in word document – Refer to the uploaded file to submit your project paper where you   summarize your dataset selected, research questions, analysis, and  conclusions. Your writing should be your own. If you are citing other  people’s work, reference it clearly. Do not appropriate it without  giving clear credit. This summary should serve to explain your research  and conclusions.
3- excel- Please refer to the final project  instrcutions and upload here your statisitical analysis of the excel  dataset you chose to work on. Show your analysis in separate tabs for  each method selected. Label clearly. Your work should be original,  meaning not already published by someone else or publicaly available. It  should reflect your own analysis of the dataset selected. 
Your analysis should be performed using excel methods as we learned in the course (not manual formulas)

Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clinic in a month’s time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor’s office. You can make assumptions about other information or variables that are included in each data set.
For each data set, propose your idea of how best to represent the key information. To organize your data would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why?
What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?
In a separate paragraph consider how different distributions might affect the different graphs. How might other variables affect the graphs? How could graphs be made to be biased? If a graph were biased, how might you change it to guard against that bias?
Minimum of 1 scholarly source AND one appropriate resource such as the textbook, math video and/or math website
In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).