Suppose researchers wanted to know about the prevalence of Mountain Dew consumption A study conducted in 2018 collected data on which soft drinks Americans aged 18 to 29 years consumed in the last 4 weeks In that year , 43.60\% of respondents aged 18 to 29 years stated that they drank Mountain Dew within 4 weeks
3.8 Suppose the 90%confidence interval calculate for these data was (0.406, 0.466). Which of the following would be possible 95%confidence intervals for these same data? Select all that apply
a) 0.368, 0.486
b) 0.426, 0.446
c) 0.382, 0.490
d) 0.382, 0.550
Q n 3.9 Which of the following is a correct interpretation of the confidence level for the interval you were asked to create?
a) Approximately 90% of samples will contain the value of 0.436, the proportion of Americans aged 18 to 29 in the sample who drank Mountain Dew within the last 4 weeks in 2018, in the 90% confidence intervals created from each sample.
b) One can conclude, with 90% confidence, that the proportion of Americans aged 18-29 who consumed Mountain Dew in the last 4 weeks in 2018 is between the values of the confidence interval from the previous problem.
c) In the long run, 90% samples will create a 90% confidence interval that contains the true proportion of Americans aged 18 to 29 years in 2018 who consumed Mountain Dew in the past 4 weeks.
d) On average, 90% of samples will result in a sample proportion of Americans aged 18-29 years who drank Mountain Dew within the last 4 weeks in 2018 between the values of the confidence interval from the previous problem.
Q310 Comparing CI to Hypothesis Test 2 Points Again , not the correct confidence interval values that you would calculated suppose the 90 % confidence interval calculated was( 0.406, 0.466) Let's say you wanted to conduct a hypothesis test testing whether a proportion of less than 0.5 ) of Americans aged to 29 in 2018 had Dew in the last 4 weeks . Would you expect the p value to be small or small or large and then explain your reasoning in no more than 2 sentences
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