A gambler complained about the dice. They seemed to be loaded! The dice were taken off the table and tested one at a time. One die was rolled 300 times and the following frequencies were recorded. Outcome Observed frequency O 4 6 62 48 61 30 51 48 Do these data indicate that the die is unbalanced? Use a 1% level of significance. Hint: If the die is balanced, all outcomes should have the same expected frequency. (a) What is the level of significance?

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### Chi-Square Test for Dice Fairness

A gambler complained about the dice, suspecting they were loaded. Each die was rolled 300 times, and the frequencies of each outcome were recorded as follows:

| Outcome | 1  | 2  | 3  | 4  | 5  | 6  |
|---------|----|----|----|----|----|----|
| Observed Frequency \( O \) | 62 | 48 | 61 | 30 | 51 | 48 |

The objective is to determine if the dice are unbalanced using a 1% level of significance. If the die is balanced, all outcomes should have the same expected frequency.

#### Questions

(a) **What is the level of significance?**
- Enter the level of significance in the provided box.

**State the null and alternate hypotheses:**
- \( H_0 \): The distributions are the same.
- \( H_1 \): The distributions are different.

There are multiple-choice options for hypothesis statements; select the correct one.

(b) **Find the value of the chi-square statistic for the sample.**
- Round the expected frequencies to at least three decimal places and the test statistic to three decimal places. Enter your answer in the provided box.

**Are all the expected frequencies greater than 5?**
- Yes
- No

**What sampling distribution will you use?**
- Student’s \( t \)
- Uniform
- Normal
- Chi-square

**What are the degrees of freedom?**
- Enter the degrees of freedom in the provided box.

These analyses guide the decision on whether the dice are fair or loaded based on observed data versus expected outcomes assuming a fair die.
Transcribed Image Text:### Chi-Square Test for Dice Fairness A gambler complained about the dice, suspecting they were loaded. Each die was rolled 300 times, and the frequencies of each outcome were recorded as follows: | Outcome | 1 | 2 | 3 | 4 | 5 | 6 | |---------|----|----|----|----|----|----| | Observed Frequency \( O \) | 62 | 48 | 61 | 30 | 51 | 48 | The objective is to determine if the dice are unbalanced using a 1% level of significance. If the die is balanced, all outcomes should have the same expected frequency. #### Questions (a) **What is the level of significance?** - Enter the level of significance in the provided box. **State the null and alternate hypotheses:** - \( H_0 \): The distributions are the same. - \( H_1 \): The distributions are different. There are multiple-choice options for hypothesis statements; select the correct one. (b) **Find the value of the chi-square statistic for the sample.** - Round the expected frequencies to at least three decimal places and the test statistic to three decimal places. Enter your answer in the provided box. **Are all the expected frequencies greater than 5?** - Yes - No **What sampling distribution will you use?** - Student’s \( t \) - Uniform - Normal - Chi-square **What are the degrees of freedom?** - Enter the degrees of freedom in the provided box. These analyses guide the decision on whether the dice are fair or loaded based on observed data versus expected outcomes assuming a fair die.
**Title: Analyzing Hypothesis Testing in Statistics**

Are all the expected frequencies greater than 5?  
- [ ] Yes  
- [ ] No  

**What sampling distribution will you use?**  
- [ ] Student's t  
- [ ] Uniform  
- [ ] Normal  
- [ ] Chi-square  

**What are the degrees of freedom?**  
[Text Box]  

(c) **Estimate the P-value of the sample test statistic.**  
- [ ] P-value > 0.100  
- [ ] 0.050 < P-value < 0.100  
- [ ] 0.025 < P-value < 0.050  
- [ ] 0.010 < P-value < 0.025  
- [ ] 0.005 < P-value < 0.010  
- [ ] P-value < 0.005  

(d) **Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence?**  
- [ ] Since the P-value > α, we fail to reject the null hypothesis.  
- [ ] Since the P-value > α, we reject the null hypothesis.  
- [ ] Since the P-value ≤ α, we reject the null hypothesis.  
- [ ] Since the P-value ≤ α, we fail to reject the null hypothesis.  

(e) **Interpret your conclusion in the context of the application.**  
- [ ] At the 1% level of significance, the evidence is sufficient to conclude that the distribution of observed outcomes for the die is different from the expected distribution of a fair die.  
- [ ] At the 1% level of significance, the evidence is insufficient to conclude that the distribution of observed outcomes for the die is different from the expected distribution of a fair die.  

**Explanation of Use:**

This template guides students through a hypothesis testing procedure using statistical methods. Students must:
- Determine if expected frequencies exceed 5, choosing the correct option.
- Select an appropriate sampling distribution.
- Calculate the degrees of freedom.
- Estimate the P-value range for their test statistic.
- Decide to reject or fail to reject the null hypothesis based on the P-value.
- Interpret the results within the context, considering the significance level.

This process aids in understanding the practical application of statistical tests in experiments, emphasizing critical decision-making steps for hypothesis validation.
Transcribed Image Text:**Title: Analyzing Hypothesis Testing in Statistics** Are all the expected frequencies greater than 5? - [ ] Yes - [ ] No **What sampling distribution will you use?** - [ ] Student's t - [ ] Uniform - [ ] Normal - [ ] Chi-square **What are the degrees of freedom?** [Text Box] (c) **Estimate the P-value of the sample test statistic.** - [ ] P-value > 0.100 - [ ] 0.050 < P-value < 0.100 - [ ] 0.025 < P-value < 0.050 - [ ] 0.010 < P-value < 0.025 - [ ] 0.005 < P-value < 0.010 - [ ] P-value < 0.005 (d) **Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis of independence?** - [ ] Since the P-value > α, we fail to reject the null hypothesis. - [ ] Since the P-value > α, we reject the null hypothesis. - [ ] Since the P-value ≤ α, we reject the null hypothesis. - [ ] Since the P-value ≤ α, we fail to reject the null hypothesis. (e) **Interpret your conclusion in the context of the application.** - [ ] At the 1% level of significance, the evidence is sufficient to conclude that the distribution of observed outcomes for the die is different from the expected distribution of a fair die. - [ ] At the 1% level of significance, the evidence is insufficient to conclude that the distribution of observed outcomes for the die is different from the expected distribution of a fair die. **Explanation of Use:** This template guides students through a hypothesis testing procedure using statistical methods. Students must: - Determine if expected frequencies exceed 5, choosing the correct option. - Select an appropriate sampling distribution. - Calculate the degrees of freedom. - Estimate the P-value range for their test statistic. - Decide to reject or fail to reject the null hypothesis based on the P-value. - Interpret the results within the context, considering the significance level. This process aids in understanding the practical application of statistical tests in experiments, emphasizing critical decision-making steps for hypothesis validation.
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