iClick the icon to view the body temperature data. appropriate, test for an effect from gender. Choose the correct answer below. A. Ho: Men and women have different population mean body temperatures. H₁: Men and women have the same population mean body temperature. B. H: Smokers and non-smokers have the same population mean body temperature. H₁: Smokers and non-smokers people have different population mean body temperatures. O C. Ho: Men and women have the same population mean body temperature. H₁: Men and women have different population mean body temperatures. O D. Ho: Smokers and non-smokers people have different population mean body temperatures. H₁: Smokers and non-smokers people have the same population mean body temperature. O E. This test is not appropriate due to the results of the test for interaction between the two factors. appropriate, determine the test statistic. Select the correct choice below and, if necessary, fill in the answer box within your choice. OA. The test statistic is (Round to two decimal places as needed.) OB. This test is not appropriate due to the results of the test for interaction between the two factors. appropriate, determine the P-value. Select the correct choice below and, if necessary, fill in the answer box within your choice. A. The P-value is (Round to three decimal places as needed.) OB. This test is not appropriate due to the results of the test for interaction between the two factors. appropriate, determine the proper conclusion at the 0.05 significance level. Choose the correct answer below. Body Temperature Data Female Male A. Reject Ho. There is sufficient evidence to support the alternative hypothesis. Smoking appears to have an effect on body temperature. OB. Reject H₂. There is sufficient evidence to support the alternative hypothesis. Gender appears to have an effect on body temperature. O C. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. Gender does not appear to have an effect on body temperature. OD. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. Smoking does not appear to have an effect on body temperature. Smokes 98.8 97.5 97.9 98.5 97.9 98.6 98.3 98.7 Print Does not smoke 98.4 97.8 98.1 97.1 97.6 97.9 98.1 99.1 Done X

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Related questions
Question
Part 7
If​ appropriate, determine the​ P-value. Select the correct choice below​ and, if​ necessary, fill in the answer box within your choice.
 
 
A.
The​ P-value is
enter your response here.
​(Round to three decimal places as​ needed.)
 
B.
This test is not appropriate due to the results of the test for interaction between the two factors.
Part 8
If​ appropriate, determine the proper conclusion at the
0.05
significance level. Choose the correct answer below.
 
 
A.
Reject
H0.
There is sufficient evidence to support the alternative hypothesis. Smoking appears to have an effect on body temperature.
 
B.
Reject
H0.
There is
sufficient
evidence to support the alternative hypothesis. Gender
appears
to have an effect on body temperature.
 
C.
Fail to reject
H0.
There is
insufficient
evidence to support the alternative hypothesis. Gender
does not appear
to have an effect on body temperature.
 
D.
Fail to reject
H0.
There is insufficient evidence to support the alternative hypothesis. Smoking does not appear to have an effect on body temperature.
 
E.
This test is not appropriate due to the results of the test for interaction between the two factors.
Part 9
If​ appropriate, test for an effect from smoking. Choose the correct answer below.
 
 
A.
H0​:
Men and women have the same population mean body temperature.
H1​:
Men and women have different population mean body temperatures.
 
B.
H0​:
Smokers and​ non-smokers have different population mean body temperatures.
H1​:
Smokers and​ non-smokers have the same population mean body temperature.
 
C.
H0​:
Smokers and​ non-smokers have the same population mean body temperature.
H1​:
Smokers and​ non-smokers have different population mean body temperatures.
 
D.
H0​:
Men and women have different population mean body temperatures.
H1​:
Men and women have the same population mean body temperature.
 
E.
This test is not appropriate due to the results of the test for interaction between the two factors.
Part 10
If​ appropriate, determine the test statistic. Select the correct choice below​ and, if​ necessary, fill in the answer box within your choice.
 
 
A.
The test statistic is
enter your response here.
​(Round to two decimal places as​ needed.)
 
B.
This test is not appropriate due to the results of the test for interaction between the two factors.
Part 11
If​ appropriate, determine the​ P-value. Select the correct choice below​ and, if​ necessary, fill in the answer box within your choice.
 
 
A.
The​ P-value is
enter your response here.
​(Round to three decimal places as​ needed.)
 
B.
This test is not appropriate due to the results of the test for interaction between the two factors.
Part 12
If​ appropriate, determine the proper conclusion at the
0.05
significance level. Choose the correct answer below.
 
 
A.
Reject
H0.
There is
sufficient
evidence to support the alternative hypothesis. Smoking
appears
to have an effect on body temperature.
 
B.
Fail to reject
H0.
There is
insufficient
evidence to support the alternative hypothesis. Smoking
does not appear
to have an effect on body temperature.
 
C.
Fail to reject
H0.
There is insufficient evidence to support the alternative hypothesis. Gender does not appear to have an effect on body temperature.
 
D.
Reject
H0.
There is sufficient evidence to support the alternative hypothesis. Gender appears to have an effect on body temperature.
 
E.
This test is not appropriate due to the results of the test for interaction between the two factors.
## Interaction Between Gender and Smoking on Body Temperature

### Overview

The accompanying table lists body temperatures in degrees Fahrenheit (°F) obtained from randomly selected subjects. Using a 0.05 significance level, the task is to determine if there is an interaction between gender and smoking on body temperature, and to ascertain the effects of gender and smoking individually.

### Body Temperature Data

The data table lists body temperatures categorized by gender and smoking status:

|            | Smokes        | Does not smoke  |
|------------|---------------|-----------------|
| **Female** | 98.8, 97.5, 97.9, 98.5 | 98.4, 97.8, 98.1, 97.1 |
| **Male**   | 97.9, 98.6, 98.3, 98.7 | 97.6, 97.9, 98.9, 99.1 |

### Hypothesis Testing

**If appropriate, test for an effect from gender. Choose the correct answer below:**

A. \( H_0 \): Men and women have different population mean body temperatures.
   \( H_1 \): Men and women have the same population mean body temperature.

B. \( H_0 \): Smokers and non-smokers have the same population mean body temperature.
   \( H_1 \): Smokers and non-smokers have different population mean body temperatures.

C. \( H_0 \): Men and women have the same population mean body temperature.
   \( H_1 \): Men and women have different population mean body temperatures.

D. \( H_0 \): Smokers and non-smokers have different population mean body temperatures.
   \( H_1 \): Smokers and non-smokers have the same population mean body temperature.

E. This test is not appropriate due to the results of the test for interaction between the two factors.

**If appropriate, determine the test statistic. Select the correct choice below and, if necessary, fill in the answer box:**

A. The test statistic is _______. (Round to two decimal places as needed.)

B. This test is not appropriate due to the interaction between the two factors.

**If appropriate, determine the P-value. Select the correct choice below and, if necessary, fill in the answer box:**

A. The P-value is _______. (Round to three
Transcribed Image Text:## Interaction Between Gender and Smoking on Body Temperature ### Overview The accompanying table lists body temperatures in degrees Fahrenheit (°F) obtained from randomly selected subjects. Using a 0.05 significance level, the task is to determine if there is an interaction between gender and smoking on body temperature, and to ascertain the effects of gender and smoking individually. ### Body Temperature Data The data table lists body temperatures categorized by gender and smoking status: | | Smokes | Does not smoke | |------------|---------------|-----------------| | **Female** | 98.8, 97.5, 97.9, 98.5 | 98.4, 97.8, 98.1, 97.1 | | **Male** | 97.9, 98.6, 98.3, 98.7 | 97.6, 97.9, 98.9, 99.1 | ### Hypothesis Testing **If appropriate, test for an effect from gender. Choose the correct answer below:** A. \( H_0 \): Men and women have different population mean body temperatures. \( H_1 \): Men and women have the same population mean body temperature. B. \( H_0 \): Smokers and non-smokers have the same population mean body temperature. \( H_1 \): Smokers and non-smokers have different population mean body temperatures. C. \( H_0 \): Men and women have the same population mean body temperature. \( H_1 \): Men and women have different population mean body temperatures. D. \( H_0 \): Smokers and non-smokers have different population mean body temperatures. \( H_1 \): Smokers and non-smokers have the same population mean body temperature. E. This test is not appropriate due to the results of the test for interaction between the two factors. **If appropriate, determine the test statistic. Select the correct choice below and, if necessary, fill in the answer box:** A. The test statistic is _______. (Round to two decimal places as needed.) B. This test is not appropriate due to the interaction between the two factors. **If appropriate, determine the P-value. Select the correct choice below and, if necessary, fill in the answer box:** A. The P-value is _______. (Round to three
The following material examines the effects of gender and smoking on body temperature from a statistical perspective. Using a significance level of 0.05, this guide outlines how to test for interactions and effects based on the provided data.

### Body Temperature Data

The table presents body temperature (°F) samples across gender and smoking habits:

|             | Smokes               | Does not smoke        |
|-------------|----------------------|-----------------------|
| Female      | 98.8, 97.5, 97.9, 98.5 | 98.4, 97.8, 98.1, 97.1 |
| Male        | 97.9, 98.6, 98.3, 98.7 | 97.6, 97.9, 98.1, 99.1 |

### Hypothesis Testing

#### Interaction between Gender and Smoking

- **Null Hypothesis (H₀):** Body temperatures are not affected by an interaction between gender and smoking.
- **Alternative Hypothesis (H₁):** Body temperatures are affected by an interaction between gender and smoking.

Other hypotheses consider independent effects of gender and smoking separately:
- **Gender-based Hypotheses:**
  - **H₀:** Body temperatures are not affected by gender.
  - **H₁:** Body temperatures are affected by gender.
  
- **Smoking-based Hypotheses:**
  - **H₀:** Body temperatures are not affected by smoking.
  - **H₁:** Body temperatures are affected by smoking.

### Statistical Analysis

1. **Determine the Test Statistic**
   - Compute the value. (Round to two decimal places as needed.)

2. **Calculate the P-Value**
   - Round the P-value to three decimal places.

3. **Draw a Conclusion at the 0.05 Significance Level**
   - **Options:**
     - **A.** Reject H₀: Sufficient evidence to support interaction effect; no interaction apparent.
     - **B.** Fail to reject H₀: Insufficient evidence to support interaction effect; interaction possible.
     - **C.** Reject H₀: Sufficient evidence to support interaction effect; interaction apparent.
     - **D.** Fail to reject H₀: Insufficient evidence to support interaction effect; no interaction apparent.

This evaluation helps assess whether an interaction between gender and smoking significantly impacts body temperatures,
Transcribed Image Text:The following material examines the effects of gender and smoking on body temperature from a statistical perspective. Using a significance level of 0.05, this guide outlines how to test for interactions and effects based on the provided data. ### Body Temperature Data The table presents body temperature (°F) samples across gender and smoking habits: | | Smokes | Does not smoke | |-------------|----------------------|-----------------------| | Female | 98.8, 97.5, 97.9, 98.5 | 98.4, 97.8, 98.1, 97.1 | | Male | 97.9, 98.6, 98.3, 98.7 | 97.6, 97.9, 98.1, 99.1 | ### Hypothesis Testing #### Interaction between Gender and Smoking - **Null Hypothesis (H₀):** Body temperatures are not affected by an interaction between gender and smoking. - **Alternative Hypothesis (H₁):** Body temperatures are affected by an interaction between gender and smoking. Other hypotheses consider independent effects of gender and smoking separately: - **Gender-based Hypotheses:** - **H₀:** Body temperatures are not affected by gender. - **H₁:** Body temperatures are affected by gender. - **Smoking-based Hypotheses:** - **H₀:** Body temperatures are not affected by smoking. - **H₁:** Body temperatures are affected by smoking. ### Statistical Analysis 1. **Determine the Test Statistic** - Compute the value. (Round to two decimal places as needed.) 2. **Calculate the P-Value** - Round the P-value to three decimal places. 3. **Draw a Conclusion at the 0.05 Significance Level** - **Options:** - **A.** Reject H₀: Sufficient evidence to support interaction effect; no interaction apparent. - **B.** Fail to reject H₀: Insufficient evidence to support interaction effect; interaction possible. - **C.** Reject H₀: Sufficient evidence to support interaction effect; interaction apparent. - **D.** Fail to reject H₀: Insufficient evidence to support interaction effect; no interaction apparent. This evaluation helps assess whether an interaction between gender and smoking significantly impacts body temperatures,
Expert Solution
Step 1: Given Information:

SmokesDoes not smoke
Female98.898.4

97.597.8

97.998.1

98.597.1
Male97.997.6

98.697.9

98.398.1

98.799.1


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