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https://docs.google.com/spreadsheets/d/1eKdSa_J_Q35KyDGxvC48WMuLTyim7l-x/edit?usp=sharing&ouid=113068968791942309329&rtpof=true&sd=true question 1: The following data (Bottles.xlsx) represents the amount of soft drink filled in a sample of 50 consecutive 2-liter bottles. At the 0.05

https://docs.google.com/spreadsheets/d/1eKdSa_J_Q35KyDGxvC48WMuLTyim7l-x/edit?usp=sharing&ouid=113068968791942309329&rtpof=true&sd=true

question 1:

The following data (Bottles.xlsx) represents the amount of soft drink filled in a sample of 50 consecutive 2-liter bottles. At the 0.05 level of significance, is there evidence that the mean amount of soft drink filled is different from 2.0 liter?

1. Specify the null hypothesis and the alternative hypothesis. State whether you are using a one- or two-tailed test and explain your reasoning.

2. Conduct calculations by hand to compute the critical value and p-value of the test. Determine your decision using two methods, the rejection region and the p-value approach.

3. Use R to conduct the hypothesis test. Copy and paste the command and report generated by R.

4. Communicate the results of the test in "plain English" including the meaning of the p-value.

https://docs.google.com/spreadsheets/d/1Yri5HRKS_56pLm6SMOER8aBlAKHmVAAq/edit?usp=sharing&ouid=113068968791942309329&rtpof=true&sd=true

question 2:

A marketing company reported that the typical American spends a mean of 150 minutes per day accessing the Internet via a mobile device. In order to test the validity of this statement, you select a random sample of 30 individuals. The results for the time spent per day accessing the Internet via mobile device (in minutes) are stored inTimes.xlsx. Is there evidence that the population mean time spent per day accessing the Internet via mobile device is greater than 150 minutes? Use 0.10 level of significance.

1. Specify the null hypothesis and the alternative hypothesis. State whether you are using a one- or two-tailed test and explain your reasoning.

2. Conduct calculations by hand to compute the critical value and p-value of the test. Determine your decision using two methods, the rejection region and the p-value approach.

3. Use R to conduct the hypothesis test. Copy and paste the command and report generated by R.

4. Communicate the results of the test in "plain English" including the meaning of the p-value.

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