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The next test is a t-test for unequal variance. Here is the problem: The human resources department at Sue, Grabitt, and Runne also tracks the cost of one-bedroom apartments in two popular neighborhoods, NoBo and SoBo. The general perception of long-time residents is that rents are probably lower in SoBo. They hope to determine whether the average rent for a one-bedroom apartment is lower in SoBo than in NoBo.

The next test is a t-test for unequal variance. Here is the problem: The human resources department at Sue, Grabitt, and Runne also tracks the cost of one-bedroom apartments in two popular neighborhoods, NoBo and SoBo. The general perception of long-time residents is that rents are probably lower in SoBo. They hope to determine whether the average rent for a one-bedroom apartment is lower in SoBo than in NoBo.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 20PFA
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The next test is a t-test for unequal variance. Here is the problem: The human resources department at Sue, Grabitt, and Runne also tracks the cost of one-bedroom apartments in two popular neighborhoods, NoBo and SoBo. The general perception of long-time residents is that rents are probably lower in SoBo. They hope to determine whether the average rent for a one-bedroom apartment is lower in SoBo than in NoBo. The results of their survey are shown in Tables 18 and 19:

Step 2. Select the Level of Significance, α

A 5 percent significance has been selected.

 

Step 3. State the Null Hypothesis (H0) and Alternate Hypothesis (H1)

H0:

H1:

 

Step 4. Compose the Decision Rule

 

 

 

Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power

Use G*Power to calculate statistical power

Step 1: Test Set-up The next test is a t-test for unequal variance. Here is the problem: The human resources department at Sue, Grabitt, and Runne also tracks the cost of one-bedroom apartments in two popular neighborhoods, NoBo and SoBo. The general perception of long-time residents is that rents are probably lower in SoBo. They hope to determine whether the average rent for a one-bedroom apartment is lower in SoBo than in NoBo. The results of their survey are shown in Tables 18 and 19: 974 $1,236 | $1,325 | $1,128 | $1,158 | $1,167 | $1,201 $994 $1,299 | $1,127 | $1,015 $897 $1,029 $961| $1,310 $980 | $1,105 | $1,255 $978 $1,244| $1,233 | $1,164 | $1,087| $1,015| $1,450 $851 | $1,267| $1,425 $892 $968 $1,055 | $1,091 $865 $911 $999 $1,303 | $1,129| $1,061| $1,184 | $1,000 $2,000 | $1,266 | $1,243 $1,244 | $1,168 | $1,183 | $1,131| $1,000 | $1,150 | $1,261 $1,400| $1,175 $1,025| $1,213| $1,180| $1,150| $1,212| $1,012| $1,248| $1,250 $1,425| $1,182 $1,015| $1,139| $1,091| $1,158| $1,251| $1,150| $1,340| $1,332| $1,133 $1,000 $1,391| $1,272| $1,247| $1,066| $1,293 $1,025| $1,178| $1,306| $1,119 $1,050 $1,085| $1,174 $1,225| $1,203| $1,032| $1,075| $1,240| $1,051| $1,162 $913 $1,086 $1,146| $1,041| $1,233| $1,270| $1,198 Step 2. Select the Level of Significance, a A 5 percent significance has been selected. Step 3. State the Null Hypothesis (Ho) and Alternate Hypothesis (H1) Ho: H1: Step 4. Compose the Decision Rule Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power Use G*Power to calculate statistical power. Step 6. Decide and Report
Transcribed Image Text:Step 1: Test Set-up The next test is a t-test for unequal variance. Here is the problem: The human resources department at Sue, Grabitt, and Runne also tracks the cost of one-bedroom apartments in two popular neighborhoods, NoBo and SoBo. The general perception of long-time residents is that rents are probably lower in SoBo. They hope to determine whether the average rent for a one-bedroom apartment is lower in SoBo than in NoBo. The results of their survey are shown in Tables 18 and 19: 974 $1,236 | $1,325 | $1,128 | $1,158 | $1,167 | $1,201 $994 $1,299 | $1,127 | $1,015 $897 $1,029 $961| $1,310 $980 | $1,105 | $1,255 $978 $1,244| $1,233 | $1,164 | $1,087| $1,015| $1,450 $851 | $1,267| $1,425 $892 $968 $1,055 | $1,091 $865 $911 $999 $1,303 | $1,129| $1,061| $1,184 | $1,000 $2,000 | $1,266 | $1,243 $1,244 | $1,168 | $1,183 | $1,131| $1,000 | $1,150 | $1,261 $1,400| $1,175 $1,025| $1,213| $1,180| $1,150| $1,212| $1,012| $1,248| $1,250 $1,425| $1,182 $1,015| $1,139| $1,091| $1,158| $1,251| $1,150| $1,340| $1,332| $1,133 $1,000 $1,391| $1,272| $1,247| $1,066| $1,293 $1,025| $1,178| $1,306| $1,119 $1,050 $1,085| $1,174 $1,225| $1,203| $1,032| $1,075| $1,240| $1,051| $1,162 $913 $1,086 $1,146| $1,041| $1,233| $1,270| $1,198 Step 2. Select the Level of Significance, a A 5 percent significance has been selected. Step 3. State the Null Hypothesis (Ho) and Alternate Hypothesis (H1) Ho: H1: Step 4. Compose the Decision Rule Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power Use G*Power to calculate statistical power. Step 6. Decide and Report
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