Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002, 38 % responded yes. In 2018, 31 % said it would be very hard to give up watching television. a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a 0.05 significance level. b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.) c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002, 38 % responded yes. In 2018, 31 % said it would be very hard to give up watching television. a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a 0.05 significance level. b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.) c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Solution Summary: The author explains how to determine whether the proportion of people who gave up watching television was significantly different in 2002 and 2018 at 5% significance level.
Television In the Pew Research social media survey, television viewers were asked if it would be very hard to give up watching television. In 2002,
38
%
responded yes. In 2018,
31
%
said it would be very hard to give up watching television.
a. Assume that both polls used samples of 200 people. Do a test to see whether the proportion of people who reported it would be very hard to give up watching television was significantly different in 2002 and 2018 using a
0.05
significance level.
b. Repeat the problem, now assuming the sample sizes were both 2000. (The actual sample size in 2018 was 2002.)
c. Comment on the effect of different sample sizes on the p-value and on the conclusion.
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
To: [Boss's Name]
From: Nathaniel D Sain
Date: 4/5/2025
Subject: Decision Analysis for Business Scenario
Introduction to the Business Scenario
Our delivery services business has been experiencing steady growth, leading to an
increased demand for faster and more efficient deliveries. To meet this demand,
we must decide on the best strategy to expand our fleet. The three possible
alternatives under consideration are purchasing new delivery vehicles, leasing
vehicles, or partnering with third-party drivers. The decision must account for
various external factors, including fuel price fluctuations, demand stability, and
competition growth, which we categorize as the states of nature. Each alternative
presents unique advantages and challenges, and our goal is to select the most
viable option using a structured decision-making approach.
Alternatives and States of Nature
The three alternatives for fleet expansion were chosen based on their cost
implications, operational efficiency, and…
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