Question Manufacturers are testing a die to make sure that it is fair (has a uniform distribution). They roll the die 72 times and record the outcomes. They conduct a chi-square Goodness-of-Fit hypothesis test at the 5% significance level. (a) The null and alternative hypotheses are: • Ho: The die has the uniform distribution. Ha: The die does not have the uniform distribution. (b) x6 = 4.500. (C) XO.05 = 11.070. ● (d) What conclusions can be made? Select all that apply. Select all that apply: We should reject Ho. We should not reject Ho. At the 5% significance level, there is sufficient evidence to conclude that the die is not fair. At the 5% significance level, there is not enough evidence to conclude that the die is not fair.

MATLAB: An Introduction with Applications
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Manufacturers are testing a die to make sure that it is fair (has a uniform distribution). They roll the die 72 times and record the outcomes.

They conduct a chi-square Goodness-of-Fit hypothesis test at the 5% significance level.

(a) The null and alternative hypotheses are:

- \( H_0 \): The die has the uniform distribution.
- \( H_a \): The die does not have the uniform distribution.

(b) \( \chi^2_0 = 4.500. \)

(c) \( \chi^2_{0.05} = 11.070. \)

(d) What conclusions can be made? Select all that apply.

#### Select all that apply:

- [ ] We should reject \( H_0 \).
- [x] We should not reject \( H_0 \).
- [ ] At the 5% significance level, there is sufficient evidence to conclude that the die is not fair.
- [x] At the 5% significance level, there is not enough evidence to conclude that the die is not fair.
Transcribed Image Text:### Question Manufacturers are testing a die to make sure that it is fair (has a uniform distribution). They roll the die 72 times and record the outcomes. They conduct a chi-square Goodness-of-Fit hypothesis test at the 5% significance level. (a) The null and alternative hypotheses are: - \( H_0 \): The die has the uniform distribution. - \( H_a \): The die does not have the uniform distribution. (b) \( \chi^2_0 = 4.500. \) (c) \( \chi^2_{0.05} = 11.070. \) (d) What conclusions can be made? Select all that apply. #### Select all that apply: - [ ] We should reject \( H_0 \). - [x] We should not reject \( H_0 \). - [ ] At the 5% significance level, there is sufficient evidence to conclude that the die is not fair. - [x] At the 5% significance level, there is not enough evidence to conclude that the die is not fair.
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Step 1: Determining the given information

The given test statistic is 4.500 and the critical value is 11.070.

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