7.56 Who Is More Likely to Take Vitamins: Males or Females? Data 2.11 introduces the dataset NutritionStudy which contains, among other things, inform vitamin use and gender of the participants. Is there a significant association between these tw Use Statkey with the variables VitaminUse and Gender to conduct a chi-square analysis and the results. a. State hypotheses b. Here is a two-way table of the data. What proportion of males regularly use vitamins? Regular Occasional Female 109 77 Male 13 Total 122 82 c. What is the expected count for females who occasionally use vitamins? d. What is the contribution to the x² for females who occasionally use vitamins?

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1. 7.56 Who Is More Likely to Take Vitamins: Males or Females?
Data 2.11 introduces the dataset NutritionStudy which contains, among other things, information about
vitamin use and gender of the participants. Is there a significant association between these two variables?
Use Statkey with the variables VitaminUse and Gender to conduct a chi-square analysis and clearly give
the results.
a. State hypotheses
Regular
Occasional
No
Total
b. Here is a two-way table of the data.
What proportion of males regularly
use vitamins?
Female
109
77
87
273
Male
13
5
24
42
Total
122
82
111ו
315
c. What is the expected count for females who occasionally use vitamins?
d. What is the contribution to the x for females who occasionally use vitamins?
e. Use Statkey to calculate the x' test statistic for a x Test of Association.
f. What are the correct degrees of freedom for this test?
g. Look at a x' distribution (not a randomization dotplot) with the correct degrees of freedom in
Statkey (Theoretical Distribution for x³) and get a p-value. Write the p-value here and include a
screenshot of the distribution curve.
p-value from Statkey = .
Transcribed Image Text:1. 7.56 Who Is More Likely to Take Vitamins: Males or Females? Data 2.11 introduces the dataset NutritionStudy which contains, among other things, information about vitamin use and gender of the participants. Is there a significant association between these two variables? Use Statkey with the variables VitaminUse and Gender to conduct a chi-square analysis and clearly give the results. a. State hypotheses Regular Occasional No Total b. Here is a two-way table of the data. What proportion of males regularly use vitamins? Female 109 77 87 273 Male 13 5 24 42 Total 122 82 111ו 315 c. What is the expected count for females who occasionally use vitamins? d. What is the contribution to the x for females who occasionally use vitamins? e. Use Statkey to calculate the x' test statistic for a x Test of Association. f. What are the correct degrees of freedom for this test? g. Look at a x' distribution (not a randomization dotplot) with the correct degrees of freedom in Statkey (Theoretical Distribution for x³) and get a p-value. Write the p-value here and include a screenshot of the distribution curve. p-value from Statkey = .
h. State part 1 of your conclusion (based on the p-value).
i. If you found significant results in part 1, state part 2 of your conclusion (based on the follow-up
analysis..click "Show Details" next to “Original Sample" to see the breakdown of the Chi-Square).
Transcribed Image Text:h. State part 1 of your conclusion (based on the p-value). i. If you found significant results in part 1, state part 2 of your conclusion (based on the follow-up analysis..click "Show Details" next to “Original Sample" to see the breakdown of the Chi-Square).
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