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?
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?
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1f570524-1dae-4658-ab6a-e0258271edb8%2F029d1b75-1bdf-4560-9f28-dbce24cf0372%2Fqmjt2br_processed.png&w=3840&q=75)
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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