(1) We are conducting many hypothesis tests to test a claim. Assuming the null hypothesis is true,approximately how many of the 200 tests, using a significance level of 5%, will incorrectly findsignificance?(2) For the situation described below, indicate whether it makes more sense to use a relatively largesignificance level (such as a = 0.10) or a relatively small significance level (such as a = 0.01).Testing to see if a large investment firm is participating in the illegal prac-tice of insider trading. If there is evidence, the Securities and ExchangeCommission will file a lawsuit against them.(3) Dropouts The National Center for Education Statistics reports that the high school dropoutrate is 5.3%. Due to tougher standards and high-stakes tests, teachers in New York Statebelieve that the high school dropout rate in New York State differs from the national rate.(a) Define the relevant parameter and state the null and alternative hypothesis(b) The teachers select a random sample and construct a 95% confidence interval of (0.049, 0.061).Using the confidence interval, what is the conclusion of the test? Include an indication ofthe significance level.(c) State the conclusion of test in context.4

Since you have asked multiple question, according to our guidelines we will solve the first question…

Answered: (1) We are conducting many hypothesis…

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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Please answer question 5.1
What does The statistical hypotheses consist of?
Suppose 245 subjects are treated with a drug that is used to treat pain and 50 of them developed nausea. Use a 0.01 significance level to test the claim that more than 20% of users develop nausea. The test statistic for this hypothesis test is: (Round to two decimal places as needed.) Part 3 Identify the P-value for this hypothesis test. The P-value for this hypothesis test is: (Round to three decimal places as needed.)
A researcher wonders if the currently-believed global male-births proportion value of approximately p = 51.2% is still correct. The researcher decides to perform a two-sided significance test, and in advance, chooses a significance-level of 1%. The researcher then randomly samples the reported birth-sex information for 1000 recent global births, and finds that exactly 551 of these babies were reported to be males. In percentage form, and rounded to three digits past the decimal point: What is the approximate P-value of this test? Include a percentage symbol at the end of your numerical answer (with no spaces).
Suppose you are asked to conduct a two-tailed hypothesis test on the population mean. What type of hypothesis test would you use? Why? What assumptions do you need to make about the process when you are conducting a hypothesis test on the population mean in order for your results to be valid?
A news article that you read stated that 54% of voters prefer the Democratic candidate. You think that the actual percent is smaller. 102 of the 221 voters that you surveyed said that they prefer the Democratic candidate. What can be concluded at the 0.10 level of significance?For this study, we should use The null and alternative hypotheses would be: Ho: (please enter a decimal) H1: (Please enter a decimal)The test statistic = (please show your answer to 3 decimal places.)The p-value = (Please show your answer to 4 decimal places.)The p-value is ααBased on this, we should the null hypothesis.Thus, the final conclusion is that ... The data suggest the population proportion is not significantly smaller 54% at αα= 0.10, so there is not sufficient evidence to conclude that the proportion of voters who prefer the Democratic candidate is smaller 54%.The data suggest the populaton proportion is significantly smaller 54% at αα= 0.10, so there is sufficient evidence to conclude that the…
1. You have recently had a debate with a friend about who uses smartphones the most. Your friend believes that men use smartphones more than women. After conducting a research study you find that out of 973 randomly sampled men, 379 use smartphones. Out of 1,304 randomly sampled women, 404 used smartphones. Based on a 95% confidence level, after hypothesis testing, what would you tell your friend? a. Which test will you use to test for this statistical analysis? b.State the null and alternative hypothesis: i.H0: ii.Ha c.What is the value of the test statistic?
In conducting a significance test, is it easier or harder to reject the null hypothesis when it's a two-tailed test instead of a one-tailed test? A: easier B: harder
According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a lower proportion of identity theft than 23%? Test at the 5% level. (i) Which of the following statements correctly defines the null hypothesis HO? A. μ = 321 B. p < 0.23 C. p = 0.23 D. μ < 321 Enter letter corresponding to correct answer (ii) Which of the following statements correctly defines the alternative hypothesis HA? A. μ = 321 B. p < 0.23 C. p = 0.23 D. μ < 321 Enter letter corresponding to correct answer (iii) Enter the level of significance α used for this test: Enter in decimal form. Examples of correctly entered answers: 0.01 0.02 0.05 0.10 (iv) Determine pˆiv Determine p^ Enter…
A. Suppose we want to test whether or not three means are equal. We want to perform this test with a 8% significance level.If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? B. Suppose we, instead, run three separate hypothesis tests (t-tests), each with 8% significance level. Mean 1 = Mean 2Mean 1 = Mean 3Mean 2 = Mean 3What is the probability that all three tests would be accurate? C. Why is an ANOVA test more accurate than 3 different tests?
2
A newsletter publisher believes that less than 68 % of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser failed to reject the null hypothesis. What is the conclusion regarding the publisher's claim?

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(1) We are conducting many hypothesis tests to test a claim. Assuming the null hypothesis is true, approximately how many of the 200 tests, using a significance level of 5%, will incorrectly find significance?