You are interested in investigating whether the type of computer a person primarily uses and the type of car they drive are dependent. The table below shows the results of a survey. Frequencies of Computer and Car Types Sedan 90 SUV 91 108 94 Truck 40 32 21 Tablet Notebook 108 Desktop 106 What can be concluded at the c = 0.10 significance level? a. What is the correct statistical test to use? O Homogeneity O Paired t-test O Goodness-of-Fit O Independence b. What are the null and alternative hypotheses? Ho: Computer type and car type are independent. Computer type and car type are dependent. O The distribution of computer types is the same for each car type. O The distribution of computer types is not the same for each car type. H₁: The distribution of computer types is not the same for each car type. O The distribution of computer types is the same for each car type. Computer type and car type are dependent. O Computer type and car type are independent. c. The test-statistic for this data = (Please show your answer to three decimal places.)

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You are interested in investigating whether the type of computer a person primarily uses and the type of car they drive are dependent. The table below shows the results of a survey.

### Frequencies of Computer and Car Types

|        | Sedan | SUV | Truck |
|--------|-------|-----|-------|
| Tablet | 90    | 91  | 40    |
| Notebook | 108  | 108 | 32    |
| Desktop | 106   | 94  | 21    |

What can be concluded at the \(\alpha = 0.10\) significance level?

a. What is the correct statistical test to use?
- [ ] Homogeneity
- [ ] Paired t-test
- [ ] Goodness-of-Fit
- [ ] Independence

b. What are the null and alternative hypotheses?

\(H_0\) :
- [ ] Computer type and car type are independent.
- [ ] Computer type and car type are dependent.
- [ ] The distribution of computer types is the same for each car type.
- [ ] The distribution of computer types is not the same for each car type.

\(H_1\) :
- [ ] The distribution of computer types is not the same for each car type.
- [ ] The distribution of computer types is the same for each car type.
- [ ] Computer type and car type are dependent.
- [ ] Computer type and car type are independent.

c. The test-statistic for this data = [______] (Please show your answer to three decimal places.)
Transcribed Image Text:You are interested in investigating whether the type of computer a person primarily uses and the type of car they drive are dependent. The table below shows the results of a survey. ### Frequencies of Computer and Car Types | | Sedan | SUV | Truck | |--------|-------|-----|-------| | Tablet | 90 | 91 | 40 | | Notebook | 108 | 108 | 32 | | Desktop | 106 | 94 | 21 | What can be concluded at the \(\alpha = 0.10\) significance level? a. What is the correct statistical test to use? - [ ] Homogeneity - [ ] Paired t-test - [ ] Goodness-of-Fit - [ ] Independence b. What are the null and alternative hypotheses? \(H_0\) : - [ ] Computer type and car type are independent. - [ ] Computer type and car type are dependent. - [ ] The distribution of computer types is the same for each car type. - [ ] The distribution of computer types is not the same for each car type. \(H_1\) : - [ ] The distribution of computer types is not the same for each car type. - [ ] The distribution of computer types is the same for each car type. - [ ] Computer type and car type are dependent. - [ ] Computer type and car type are independent. c. The test-statistic for this data = [______] (Please show your answer to three decimal places.)
The image contains a section from a statistical analysis task focusing on p-values and hypothesis testing. Here is the transcribed content:

---

d. The p-value for this sample = [______] (Please show your answer to four decimal places.)

e. The p-value is [Select an answer] α

f. Based on this, we should
- ( ) fail to reject the null
- ( ) reject the null
- ( ) accept the null

g. Thus, the final conclusion is...
- ( ) There is sufficient evidence to conclude that the distribution of computer types is not the same for each car type.
- ( ) There is insufficient evidence to conclude that computer type and car type are dependent.
- ( ) There is insufficient evidence to conclude that the distribution of computer types is not the same for each car type.
- ( ) There is sufficient evidence to conclude that computer type and car type are independent.
- ( ) There is sufficient evidence to conclude that computer type and car type are dependent.

---

No graphs or diagrams are present in the image.
Transcribed Image Text:The image contains a section from a statistical analysis task focusing on p-values and hypothesis testing. Here is the transcribed content: --- d. The p-value for this sample = [______] (Please show your answer to four decimal places.) e. The p-value is [Select an answer] α f. Based on this, we should - ( ) fail to reject the null - ( ) reject the null - ( ) accept the null g. Thus, the final conclusion is... - ( ) There is sufficient evidence to conclude that the distribution of computer types is not the same for each car type. - ( ) There is insufficient evidence to conclude that computer type and car type are dependent. - ( ) There is insufficient evidence to conclude that the distribution of computer types is not the same for each car type. - ( ) There is sufficient evidence to conclude that computer type and car type are independent. - ( ) There is sufficient evidence to conclude that computer type and car type are dependent. --- No graphs or diagrams are present in the image.
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