https://1drv.ms/x/s!ApAjhIcc8n1EgWycRUNUdJ5KFc4i?e=Obrgu0

This is the data set

1. Suppose we want to estimate the proportion of students at UST that use iPhones. Using the variable 'Cell Phone' in the 'survey data' dataset, fill in the information below to construct the 95% CI estimate of the proportion of iPhone users. (avoid using rounded values when doing the calculations)

Number of iPhone users x =

Total Number Surveyed n =

iPhone users (p-hat) % (round to one decimal place)

Critical Value CV = (round to two decimal places)

Margin of Error E = (round to three decimal places)

95% CI: ( , ) (enter as %, rounded to one decimal place)

2. Suppose we want to estimate the proportion of students at UST that use Apple laptops. Using the variable 'Laptop' in the 'survey data' dataset, fill in the information below to construct the 95% CI estimate of the proportion of Apple users. (avoid using rounded values when doing the calculations)

Number of Apple users x =

Total Number Surveyed n =

Apple users (p-hat) % (round to one decimal place)

Critical Value CV = (round to two decimal places)

Margin of Error E = (round to three decimal places)

95% CI: ( , ) (enter as %, rounded to one decimal place)

3. Should we generalize results to all UST students based on this data set?

(This is data that was collected on the first day of class from this class and two other statistics courses.)

		Yes, because confidence intervals should always be believed.
		No, because the participants were not randomly selected.
		No, because data was entered on a Windows Machine.
		Yes, because data was entered on a Windows Machine.

4. Suppose we want to estimate the number of cups of coffee UST students consume daily during the week. Using the variable 'Coffee_week' in the 'survey data' dataset, fill in the information below to construct the 95% CI estimate of the mean number of cups of coffee UST students consume daily during the week. (avoid using rounded values when doing the calculations)

Average cups of coffee daily x-bar = (round to one decimal place)

Standard deviation of cups of coffee consumed daily s = (round to one decimal place)

Total Number Surveyed n =

Degrees of Freedom df =

Critical Value CV = (round to three decimal places)

Margin of Error E = (round to three decimal places)

95% CI: ( , ) (round to one decimal place)

5. Suppose we want to estimate the average commute time for UST students. Using the variable 'Commute' in the 'survey data' dataset, fill in the information below to construct the 95% CI estimate of the mean commute time for UST students. (avoid using rounded values when doing the calculations)

Average commute time x-bar = (round to one decimal place)

Standard deviation of commute time s = (round to one decimal place)

Total Number Surveyed n =

Degrees of Freedom df =

Critical Value CV = (round to three decimal places)

Margin of Error E = (round to three decimal places)

95% CI: ( , ) (round to one decimal place)

6. Should we generalize results to all UST students based on this data set?

(this is data that was collected on the first day of class from this class and two other statistics courses)

		Yes, because confidence intervals should always be believed
		No, because the participants were not randomly selected
		No, because data was entered on a Windows Machine
		Yes, because data was entered on a Windows Machine