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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Your statistics instructor claims that 60 percent of the students who take her Elementary Statistics class go through life feeling more enriched. For some reason that she can't quite figure out, most people don't believe her. You decide to check this out on your own. You randomly survey 64 of her past Elementary Statistics students and find that 36 feel more enriched as a result of her class. Now, what do you think? Conduct a hypothesis test at the 5% level. a. What is the test statistic? b. What is the p-value? (Round your answer to four decimal places.) c. Construct a 95% confidence interval for the true proportion. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your answers to four decimal places.)
You want to survey students to see what proportion of them have taken Statistics 101. This survey hasn't been previously completed, so no estimate is known. How large of a sample size is necessary if we want the margin of error to be within 4% with a 95% confidence interval?
In point estimation, data from the _____. a. sample are used to estimate the sample statistic b. population are used to estimate the population parameter c. sample are used to estimate the population parameter d. None of these answers are correct.
A statement of “no difference” that contradicts the research hypothesis and is always expressed in terms of population parameters is called the a. null hypothesis. b. right-tailed test. c. t statistic. d. specified value
You saw back in Chapter 2 that the mean, median, mode, and midrange are used to indicate where data is centered in a data set, or in other words what a typical value in the set is. A question that is often asked is, "If they're all supposed to do the same thing, why is there more than one?" Isn't one enough? In this exercise, you will be given two small sets of data. For each set, a. find the mean, median, mode and midrange b. in your opinion, decide which of the measures BEST represents all the values in the set (best indicates a typical value), and which one does this the WORST. c. post your responses and justify them by explaining why Don't forget to respond to at least one of your classmate's posts. With this exercise, "more is better." I'll elaborate after the deadline. • Set A: the salaries of 10 employees at a company (in thousands of dollars): 50, 50, 50, 50, 50, 50, 50, 50, 50, 500 • Set B: the grades of 9 students on an exam: 20, 25, 30, 35, 40, 45, 100, 100, 100
Teacher Salaries. Data on salaries in the public school system are published annually in Ranking of the States and Estimates of School Statistics by the National Education Association. The mean annual salary of (public) classroom teachers is $55.4 thousand. A hypothesis test is to be performed to decide whether the mean annual salary of classroom teachers in Ohio is greater than the national mean. a. determine the null hypothesis. b. determine the alternative hypothesis. c. classify the hypothesis test as two tailed, left tailed, or right tailed.
A poll found that 59% of a sample of 1020 teens in a certain large country go online several times a day. (Treat this sample as a simple random sample.) Complete parts a through e below. Find the margin of error for this poll if we want 90% confidence in our estimate of the percent of teens in the country who go online several times a day. Explain what the margin of error means. If instead we need to be 95% confident, will the margin of error be larger or smaller? Explain. Find that margin of error.
In applying statistics, we make decisions with less than 100% certainty (We are not always correct in our conclusion). False O True
When constructing a 90% confidence interval around a sample mean, how many samples out of 100 would you expect to not include the true population mean within their confidence intervals? a. 5 b. 1 c. 0 d. 10
Suppose you are given the following information from a sample of data: variance is 484 the number of observations in the sample is 65 for a confidence level of 96%, calculate the margin of error
An article claims that 70% of adults over 50 take vitamin supplements. To test this claim, you take a sample and do your math. Based on your results, you end up rejecting the claim. Later it turns out that the claim was in fact correct. What type of error did you make, if any? No error was made. A type II error A type I error
It's important to understand that hypothesis testing is just how statisticians (by "statisticians" I mean people who are working with data, e.g. analysts, auditors, economists, whoever) answer quanitative questions. We intuitively know that not much is truly certain, and that it's really hard (if not impossible) to collect data on everything we are curious about. So we use samples and try to extrapolate to a larger population. For this discussion, I would like each of you to come up with your own interesting hypothesis test. So, you will do the following: 1) Explain the context or story for which you have a problem stats might be able to help with. 2) Come up with the null and alternative hypotheses. This can be in words, or numbers, or a combination of both (I'll give an example below). 3) Explain where/how you might collect data to reach a conclusion for the test. 4) (RESPONSE) When you respond to someone else's post, I want you to critique their test and data. If you can, suggest a…

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