Determine the first step of hypothesis testing, and explain the procedure and logic of this step. Choose the correct answer below. A. The first step is to determine the level of significance at which to conduct the hypothesis test. The conventional levels of significance used are 5% and 1%, which are described as the 0.05 significance level and the 0.01 significance level, respectively. When a sample score is so extreme that researchers reject the null hypothesis, the result is said to be statistically significant. B. The first step is to restate the question as a research hypothesis and a null hypothesis about the populations. Since researchers are interested in the results in terms of the population, it is useful to restate the research question in terms of populations. The research hypothesis represents the research question being asked. C. The first step is to determine the characteristics of the comparison distribution. The overall logic of hypothesis testing involves figuring out the probability of getting a particular result if the null hypothesis is true. In this process, one wants to determine the probability of getting a sample score as extreme as the one found if the sample were from a population with a distribution corresponding to the null hypothesis being true.

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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Determine the first step of hypothesis testing, and explain the procedure and logic of this step. Choose the correct answer below.

The first step is to determine the level of significance at which to conduct the hypothesis test. The conventional levels of significance used are 5% and 1%, which are described as the 0.05 significance level and the 0.01 significance level, respectively. When a sample score is so extreme that researchers reject the null hypothesis, the result is said to be statistically significant.

The first step is to restate the question as a research hypothesis and a null hypothesis about the populations. Since researchers are interested in the results in terms of the population, it is useful to restate the research question in terms of populations. The research hypothesis represents the research question being asked.

The first step is to determine the characteristics of the comparison distribution. The overall logic of hypothesis testing involves figuring out the probability of getting a particular result if the null hypothesis is true. In this process, one wants to determine the probability of getting a sample score as extreme as the one found if the sample were from a population with a distribution corresponding to the null hypothesis being true.

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