Suppose there is a claim that a certain population has a mean, u, that is equal to 5. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis, H, and the alternative hypothesis, H,, as follows. Ho: H= 5 H: u #5 Suppose you also know the following information. The value of the test statistic based on the sample is -1.873 (rounded to 3 decimal places). The p-value is 0.061 (rounded to 3 decimal places). (a) Complete the steps below for this hypothesis test.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question
### Hypothesis Testing with Standard Normal Distribution

#### Standard Normal Distribution

Follow the steps below to conduct a hypothesis test using the standard normal distribution.

**Step 1:** Select one-tailed or two-tailed test.
- [ ] One-tailed
- [ ] Two-tailed

**Step 2:** Enter the test statistic.
- (Round to three decimal places.)

  [ ________ ]

**Step 3:** Shade the area represented by the p-value.

  ![Shading area](image-placeholder)

**Step 4:** Enter the p-value.
- (Round to three decimal places.)

  [ ________ ]

![Standard Normal Distribution Graph](image-placeholder)

The graph shown represents the standard normal distribution (bell curve). The x-axis represents the z-scores, ranging from roughly -3 to 3. The y-axis represents the probability density with values up to 0.4. The highest peak of the curve, which indicates the mean of the distribution, is located at the center (z = 0). The curve is symmetric around the mean.

**Note:** Click 'Continue' to move to the next step after filling in the required information.
Transcribed Image Text:### Hypothesis Testing with Standard Normal Distribution #### Standard Normal Distribution Follow the steps below to conduct a hypothesis test using the standard normal distribution. **Step 1:** Select one-tailed or two-tailed test. - [ ] One-tailed - [ ] Two-tailed **Step 2:** Enter the test statistic. - (Round to three decimal places.) [ ________ ] **Step 3:** Shade the area represented by the p-value. ![Shading area](image-placeholder) **Step 4:** Enter the p-value. - (Round to three decimal places.) [ ________ ] ![Standard Normal Distribution Graph](image-placeholder) The graph shown represents the standard normal distribution (bell curve). The x-axis represents the z-scores, ranging from roughly -3 to 3. The y-axis represents the probability density with values up to 0.4. The highest peak of the curve, which indicates the mean of the distribution, is located at the center (z = 0). The curve is symmetric around the mean. **Note:** Click 'Continue' to move to the next step after filling in the required information.
**Performing a Hypothesis Test**

Suppose there is a claim that a certain population has a mean, μ, that is equal to 5. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis, \( H_0 \), and the alternative hypothesis, \( H_1 \), as follows:

\[ H_0: \mu = 5 \]
\[ H_1: \mu \neq 5 \]

Suppose you also know the following information:

- The value of the test statistic based on the sample is \(-1.873\) (rounded to 3 decimal places).
- The p-value is \(0.061\) (rounded to 3 decimal places).

**Task (a): Complete the steps below for this hypothesis test.**

**Step 1: Select one-tailed or two-tailed.**
- One-tailed
- Two-tailed (Selected)

**Standard Normal Distribution Graph Explanation:**
The graph shown is of a standard normal distribution (bell curve). It typically includes:
- A horizontal axis that represents the z-scores.
- A vertical axis that represents the probability density.
- The area under the curve is divided symmetrically because it's a two-tailed test. 

In this context, since the test is two-tailed, the critical regions are on both extremes of the distribution curve, corresponding to the 0.10 level of significance (0.05 in each tail).

Once the desired tail selection is made, you can proceed by clicking the "Continue" button to further steps in the hypothesis testing process.

Make sure to follow the hypothesis testing procedure rigorously to determine if the null hypothesis \( H_0 \) should be rejected or not based on the p-value and the specified significance level.
Transcribed Image Text:**Performing a Hypothesis Test** Suppose there is a claim that a certain population has a mean, μ, that is equal to 5. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis, \( H_0 \), and the alternative hypothesis, \( H_1 \), as follows: \[ H_0: \mu = 5 \] \[ H_1: \mu \neq 5 \] Suppose you also know the following information: - The value of the test statistic based on the sample is \(-1.873\) (rounded to 3 decimal places). - The p-value is \(0.061\) (rounded to 3 decimal places). **Task (a): Complete the steps below for this hypothesis test.** **Step 1: Select one-tailed or two-tailed.** - One-tailed - Two-tailed (Selected) **Standard Normal Distribution Graph Explanation:** The graph shown is of a standard normal distribution (bell curve). It typically includes: - A horizontal axis that represents the z-scores. - A vertical axis that represents the probability density. - The area under the curve is divided symmetrically because it's a two-tailed test. In this context, since the test is two-tailed, the critical regions are on both extremes of the distribution curve, corresponding to the 0.10 level of significance (0.05 in each tail). Once the desired tail selection is made, you can proceed by clicking the "Continue" button to further steps in the hypothesis testing process. Make sure to follow the hypothesis testing procedure rigorously to determine if the null hypothesis \( H_0 \) should be rejected or not based on the p-value and the specified significance level.
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Proportions
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman