Descriptive Analysis

1. State the breakdown of Marital Status based on Gender? (e.g., How many men/women are married/windowed/etc.). Hint: A Cross-Table (Crosstabs) may provide this information.
2. State the breakdown of Marital Status based on Race/Ethnicity? (e.g., How many Asian/Blacks/etc. are married/windowed/etc.). Hint: A Cross-Table (Crosstabs) may provide this information.
3. State the breakdown of Marital Status based on Socio Economic Status? (e.g., How many Low Income/Middle Income/etc. are married/windowed/etc.). Hint: A Cross-Table (Crosstabs) may provide this information.
4. For the following variables: Height, Weight, Number of Doctor Visits Per Year , Heart Rate , January Blood Sugar Level , compile the general Descriptive Statistics such as Mean, Median, Mode, Std. Dev, Variance, Interquartile Range, Skewness, etc. You should also draw the histogram and describe the distribution in terms of Skewness. Remember if you divide the Skewness statistic by Std. Error of Skewness and the results is more extreme than +/- 2; then the skewness is significant.
5. Generate the Z-Scores for the following the following variables: BMI, Height, Weight, Number of Doctor Visits, and Heart Rate. Now identify the Z-Scores for the following values, please do not round off the Z-Statistic:
   BMI: 18, 22
   Height: 74, 75
   Weight: 230, 285
   Number of Doctor Visits: 2, 3.
   Hear Rate: 75, 111.
   Inferential Analysis
6. In 1918 the average height of a person was 66 inches. Based on the sample (datafile), please test whether the population mean has changed or not; and select your overall conclusion. The alpha level should be .05.
7. In 1975 the average Glucose Level was 5.5. Based on the sample (datafile), please test whether the population mean has changed or not; and select your overall conclusion. The alpha level should be .05.
8. Is there a Significant difference in the amount of time it takes to run a mile based on Gender at alpha of .05?
9. 
   Is there a Significant difference in the January Memory Score based on Gender at alpha of .05?
10. 
    A person’s mental health, along with other things, is measure based on a standardized memory score. Tim is researching a diet that may have an impact on a person’s memory. Using n = 100 as a sample, he conducted a 3-month experiment. He got their initial memory scores at the beginning of January, then he administered the (diet) intervention for three months, and then he obtained their memory scores again in March. What should be Tim’s overall conclusion using alpha of .01 and a two-tailed test? Also generate a 99% confidence Interval?
11. You are researching a medication that can have an impact on the Low-Density Lipoprotein (LDL) Cholesterol. Using n = 100 as a sample, you conducted a 3-month experiment. You measured their initial LDL levels at the beginning of January, then you administered the (medication) intervention for three months, and then you measured their LDL levels again in March. What should be your overall conclusion using alpha of . 0 01 and a two-tailed test? Also generate a 99 .99 % confidence Interval?
12. Using Alpha of .05 is there a significant difference in the Body Mass Index (BMI) based on the Level of Education? If so, identify which group(s) differ?
13. Using Alpha of .05 is there a significant difference in the Number of Doctor Visit based on the Socio-Economic Status? If so, identify which group(s) differ?
14. Using alpha of .05 is there a significant difference in Glucose Levels based on Marital Status? If so, which group(s) differ?
15. Assume that there is a Linear Relationship between "Age" and "March Blood Sugar Level". What is the value of Pearson’s R?
16. Assume that there is a Linear Relationship between "Age" and "March Blood Sugar Level". What can you say about the significance and direction of the relationship?
17. Assuming that there is a linear relationship between "Age" and "March Blood Sugar Level". How much of variation in March Blood Sugar Levels can be explained by Age?
18. Assuming that there is a linear relationship between "Age" and "March Blood Sugar Level", develop the regression equation (model) that can be used to predict the March Blood Sugar Levels based on the Age.
19. At alpha of .05, is there a relationship between Hair Loss and Marital Status? Be sure to identify the p-value and the value of the Chi-Square Statistic?
20. At alpha of .05, is there a relationship between Race and Education? Be sure to identify the p-value, the value of the Chi-Square Statistic, the standardized residuals, observed frequencies and expected frequencies.

21. Generate the (observed) Count, Expected Count, and Standardized Residuals for Socio Economic Status (SES) vs Education . Have this information handy because you may be asked question(s) related to it?

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Solution: The downloadable solution consists of 28 pages, 2255 words and 32 charts.
Deliverable: Word Document