1. Confidence Interval
   Investigators conducted a survey of nutritional status among a sample of children living
   in a refugee camp. The following data were obtained:
   mean nutritional index = 89.5
   standard deviation = 9.9
   standard error of mean = 0.7
   Calculate the 95% confidence interval (show your calculations) and write a sentence explaining your findings.
2. In the following scenario… we looked at persons preferences for using the stairs vs the elevator for going up vs going down. Calculate the odds ratio and interpret it. Show your work.

   direct * device Crosstabulation
   			device		Total
   			Stairs	Escalator
   Direct	Ascending	Count	114	1741	1855
   		% within direct	6.1%	93.9%	100.0%
   	Descending	Count	331	1031	1362
   		% within direct	24.3%	75.7%	100.0%
   Total		Count	445	2772	3217
   		% within direct	13.8%	86.2%	100.0%

   
   The odds of using the stairs vs the escalator ascending is 114/1741 = 0.06
   The odds of using the stairs vs the escalator descending is 331/1031 = 0.32
   Therefore, the odds ratio of using the stairs descending vs ascending is 0.32/0.06= 5.333.
   From the above information, you could state that the odds of using the stairs when ascending are 5.333 times the odds of using stairs when descending than descending in this particular study.
   The following questions should be answered using the energy drink consumption and stress among college students data set that I am providing.
3. Complete the following table:
   Given the limited energy drink consumption and stress among college students data set that I am providing here, complete the following table:

   Gender/Year In School	Freshmen	Sophomore	Junior	Senior
   Male
   Female

4. Is there a relationship between stress and GPA? Stress and GPA are both interval measures. Justify y our answer with the correlation, direction, strength, and significance level.
5. Is there a relationship between GPA (Interval) and Largest number of energy drinks consumed on any one occasion in the past 30 days? Be sure to state your answer as you would findings within an article.
6. Does perceived stress (interval measure) di ffer by gender and year in school? State your answer as you would findings in an article. (Be sure to include interaction effects if any, and partial eta squared). For each main effect and interaction effect provide df, F value, p value and partial η ² Does energy drink consumption ( largest number of energy drinks consumed on any occasion during the past 30 days ) differ by gender and year in school? For each main effect and interaction effect provide df, F value, p value and partial η ²
7. PRETEST POSTTEST

Children were invited to participate in a farm safety day camp. The morning of the day camp participants were given a pre-test. At the end of the day they were given a post-test. The following are the participants’ scores. Assume an interval scale.

Provide a statement of the evaluation research hypothesis. (Not the null hypothesis). This means the statistical test s/b one tailed. You are testing for a difference between the means.

• H ₁ : The farm safety day camp has an effect on the scores
• What is the appropriate test statistic? The t-test needs to be used
• What is the mean score for the pretest = 6.32
• What is the mean score for the posttest= 7.52
• df= 24
• obtained value = t = 2.45
• p= 0.022

1. Using the following data, attempt to predict systolic blood pressure from age and weight.
   Include a statement of the equation. You have multiple independent variables… state whether or not each is significant. All should be considered Interval data. Write the conclusions… including the F score, and df. Interpret your findings.

   Systolic	Age	Weight
   132	52	173
   143	59	184
   153	67	194
   162	73	211
   154	64	196
   168	74	220
   137	54	188
   149	61	188
   159	65	207
   128	46	167
   166	72	217

   
   Next use the Farm Safety Day Camp Data. Here we examine willingness to attend future farm safety day camps based upon the participants ’ perception of how helpful former farm trainings have been . In this instance we will treat all data as nominal.
2. What are your findings? Provide Chi-Square statistic, def, and p value.

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