In hypothesis testing,O if the test statistic is negative, this means the sample statistic is larger than the claimed populationparameter.we call the initial claim being tested about the population an alternative hypothesis.it is not necessary to know the population size in order to compute the test statistic.the "P" in P-value stands for "personal."results that are statistically significant will always be practically important (or practically significant).

We have given that the statement about to the hypothesis testing. Here, need to find out the correct…

Answered: In hypothesis testing, if the 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

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Researchers wants to see if men have same blood pressure as women do. In the language of statistics, the most appropriate alternative hypothesis (H1) is that there is : O A. no difference between the population means. O B. a difference between the population means. O C. no difference between the sample means. D. None of these O E. a difference between the sample means.
You wish to test the following claim (Ha) at a significance level of a = 0.02. H.:µ1 – µ2 =0 Ha:µ1 – P2 > 0 || You obtain the following two samples of data. Sample #2 Sample #1 61.3 63.5 47.7 51.2 52 39.2 59.7 53.3 54.7 51 54.2 45.5 55.6 46.6 65.3 33 54 48.4 46.6 49.2 65.8 58.6 53.4 49.4 54 54.7 67.7 41.4 47.1 46.1 34 55.4 57.7 55.5 40.7 54.2 Do not test the sample variances using Fcdf. Assume the sample variances are not equal and DO NOT POOL. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.) p-value = The p-value is... Oless than (or equal to) a Ogreater than a
- test the null hypothesis that the population mean, u is 14.
2. Which one of the following statements is correct? A. If you are told a sample percentage is 25%, you would need to know the sample size in order to convert that percentage to a proportion. B. We always begin a hypothesis test by assuming that the alternative hypothesis is true. C. The test statistic is affected by the size of the sample. D. A small P-value means we have evidence in favor of the null hypothesis. E. The test statistic will be negative if the claimed population proportion is smaller than the sample proportion.
A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned. Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.” Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations. 1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.
Which of the following statements below is incorrect about Type II error? The larger the effect size, the smaller the power of the test will be. For a given probability of type I error, the probability of type II error can be reduced by increasing the sample size. The power of a test is equal to 1-3, where represents the probability that a hypothesis test does not reject a false null hypothesis. The effect size measures the distance between the true population proportion and the value assumed for it in the null hypothesis.
In statistics, the hypothesis that is formally tested by the data is the: Alternative hypothesis Null hypothesis
Suppose your null hypothesis is that engineering majors earn more than $80,000. Further, researchers collect and analyze sample data that leads them to fail to reject this null hypothesis. However, in the population, it is true that engineering majors earn less than $80,000. What would we call this error? a. Type I error b. Type II error c. No error occured d. Error equal to the level of significance
Answer choices for the blanks : 1. Contains or does not contain 2. Null or alternative 3. Sufficient or insufficient 4. Reject or support 5.insufficient or sufficient 6. Reject or support
Which one of the following tests is NOT used for hypothesis testing? a. Sign Test b. Regression c. T tests d. F Test
The null hypothesis when testing for a single population can take many forms depending on the parameter being studied. If the parameter of interest is the population mean, which statement best represents the original claim that the parameter equals a given value, k?
In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).

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