A nutritionist claims that the mean tuna consumption by a person is 3.5 pounds per year. A sample of 90 people shows that the mean tuna consumption by a person is 3.3 pounds per year. Assume the population standard deviation is 1.02 pounds. At a = 0.08, can you reject the claim? (a) Identify the null hypothesis and alternative hypothesis. Ο Α. H : μS 3.5 Ha: u> 3.5 О В. Но: > 3.5 Ha: us3.5 С. Но: и#3.3 Ha: u = 3.3 D. Ho: μ= 3.5 Ο Ε. Hρ: μ5 3.3 Ha: u> 3.3 O F. Ho: u> 3.3 Ha: us3.3 Ha: u#3.5 (b) Identify the standardized test statistic. z= (Round to two decimal places as needed.)
A nutritionist claims that the mean tuna consumption by a person is 3.5 pounds per year. A sample of 90 people shows that the mean tuna consumption by a person is 3.3 pounds per year. Assume the population standard deviation is 1.02 pounds. At a = 0.08, can you reject the claim? (a) Identify the null hypothesis and alternative hypothesis. Ο Α. H : μS 3.5 Ha: u> 3.5 О В. Но: > 3.5 Ha: us3.5 С. Но: и#3.3 Ha: u = 3.3 D. Ho: μ= 3.5 Ο Ε. Hρ: μ5 3.3 Ha: u> 3.3 O F. Ho: u> 3.3 Ha: us3.3 Ha: u#3.5 (b) Identify the standardized test statistic. z= (Round to two decimal places as needed.)
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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![### Hypothesis Testing for Mean Tuna Consumption
A nutritionist claims that the mean tuna consumption by a person is 3.5 pounds per year. A sample of 90 people shows a mean tuna consumption of 3.3 pounds per year. It is given that the population standard deviation is 1.02 pounds. At a significance level of α = 0.08, can you reject the claim?
#### (a) Identify the Null Hypothesis and Alternative Hypothesis
The given options for hypotheses are:
- **A**. \( H_0: \mu \leq 3.5 \); \( H_a: \mu > 3.5 \)
- **B**. \( H_0: \mu > 3.5 \); \( H_a: \mu \leq 3.5 \)
- **C**. \( H_0: \mu \neq 3.3 \); \( H_a: \mu = 3.3 \)
- **D**. \( H_0: \mu = 3.5 \); \( H_a: \mu \neq 3.5 \) (Correct)
- **E**. \( H_0: \mu \leq 3.3 \); \( H_a: \mu > 3.3 \)
- **F**. \( H_0: \mu > 3.3 \); \( H_a: \mu \leq 3.3 \)
The correct hypothesis statement is:
- **Null Hypothesis (\( H_0 \))**: \( \mu = 3.5 \)
- **Alternative Hypothesis (\( H_a \))**: \( \mu \neq 3.5 \)
#### (b) Identify the Standardized Test Statistic
To calculate the z-score, the formula is:
\[
z = \frac{\bar{x} - \mu}{\sigma/\sqrt{n}}
\]
Where:
- \( \bar{x} \) = Sample mean = 3.3
- \( \mu \) = Population mean under null hypothesis = 3.5
- \( \sigma \) = Population standard deviation = 1.02
- \( n \) = Sample size = 90
Calculate the z-score and fill in the provided box, rounding to two decimal places.
\[ z = \frac{3.3 -](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2af703e6-2d87-4216-be19-bf00a5fad5c9%2F553f6a90-3547-46a7-926b-ecc2a03d14f8%2Fy896f8v_processed.png&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing for Mean Tuna Consumption
A nutritionist claims that the mean tuna consumption by a person is 3.5 pounds per year. A sample of 90 people shows a mean tuna consumption of 3.3 pounds per year. It is given that the population standard deviation is 1.02 pounds. At a significance level of α = 0.08, can you reject the claim?
#### (a) Identify the Null Hypothesis and Alternative Hypothesis
The given options for hypotheses are:
- **A**. \( H_0: \mu \leq 3.5 \); \( H_a: \mu > 3.5 \)
- **B**. \( H_0: \mu > 3.5 \); \( H_a: \mu \leq 3.5 \)
- **C**. \( H_0: \mu \neq 3.3 \); \( H_a: \mu = 3.3 \)
- **D**. \( H_0: \mu = 3.5 \); \( H_a: \mu \neq 3.5 \) (Correct)
- **E**. \( H_0: \mu \leq 3.3 \); \( H_a: \mu > 3.3 \)
- **F**. \( H_0: \mu > 3.3 \); \( H_a: \mu \leq 3.3 \)
The correct hypothesis statement is:
- **Null Hypothesis (\( H_0 \))**: \( \mu = 3.5 \)
- **Alternative Hypothesis (\( H_a \))**: \( \mu \neq 3.5 \)
#### (b) Identify the Standardized Test Statistic
To calculate the z-score, the formula is:
\[
z = \frac{\bar{x} - \mu}{\sigma/\sqrt{n}}
\]
Where:
- \( \bar{x} \) = Sample mean = 3.3
- \( \mu \) = Population mean under null hypothesis = 3.5
- \( \sigma \) = Population standard deviation = 1.02
- \( n \) = Sample size = 90
Calculate the z-score and fill in the provided box, rounding to two decimal places.
\[ z = \frac{3.3 -
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