Explain what a p-value represents.Explain what the significance level for a hypothesis test, a, represents.

Solution-: We want to explain the following (a) What a p-value represents. (b) What the significance…

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Similar questions

What are factors to consider in choosing in a P-value for a hypothesis test?
When testing any experimental hypothesis, why is it important that the test you use to measure the outcome be both reliable and valid
Regarding the power of a hypothesis test: a. What does it represent?b. Whathappens to the power of a hypothesis test if the significance level is kept at 0.01 while the sample size is increased from 50 to 100?
What is the difference between the null hypothesis and the alternative hypothesis when doing a hypothesis test?
Significance testing is similar to hypothesis testing, except rather than comparing a p-value to a level of significance to reach a conclusion, the p-value is used as a measure for how strong the information from the sample is as evidence against the null hypothesis. A small p-value indicates that the sample provides strong evidence against the null hypothesis and is statistically significant. A larger p-value indicates that the sample provides weaker evidence against the null hypothesis and is not statistically significant. Suppose that two rival scientists want to conduct the following hypothesis test for a certain population: Ho: ≤ 60 Hy: μ > 60 Assume that the mean of the population is known to be 8.4. Scientist 1 took a sample of 36 from the population and got a sample mean of 63.164000. What is the approximate p-value for Scientist 1's data? Scientist 2 took a sample of 8 from the population and got a sample mean of 64.276582. What is the approximate p-value for Scientist 2's…
a) Answer true or false and explain your answer: If it is important not to reject a true null hypothesis, the hypothesis test should be performed at a small significance level.
When would you use a chi-square test? In hypothesis testing, when would you use a one-sample t-test rather than a one-sample z-test?
Describe how experimenter bias can be a threat to internal validity; that is, how can experimenter bias provide an explanation for the scores in one condition being higher than the scores in a second condition?
I would like to test the claim that the mean IQ of statistics teachers is greater than 120. Identify the type 1 and type 2 errors for the hypothesis test of this claim. What do the errors mean?
Define the Goal of hypothesis testing?
What is the null hypothesis, alternative hypothesis, p value, and the interpretation of the p value in our everyday words ?
What does the p-value represent in a test of hypothesis? The p-value represents the significance level of the hypothesis test. The p-value is the probability that the sample data occurred given that the null hypothesis is true. The p-value is the probability that the sample data occurred given that the alternative hypothesis is true. The p-value is the probability that the null hypothesis is true.

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Explain what a p-value represents. Explain what the significance level for a hypothesis test, a, represents.