Question 7Why can't a researcher just run multiple t tests when the independent variable hasmore than two levels?O As you run more statistical tests, you lose degrees of freedom.As you run more statistical tests, it becomes harder and harder to reject the nullhypothesis.As you run more statistical tests, the probability that you will make a Type IIIerror in one of those tests increases.O As you run more statistical tests, the probability that you will make a Type I errorin one of the tests increases.

Given problem Given that Why can't a researcher just run multiple t tests when the independent…

Answered: Question 7 Why can't a researcher just…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please answer from 7-10
You complete a hypothesis test using alpha = .05 and based on the evidence from the sample, your decision is to fail to reject the null hypothesis. If the treatment actually does have an effect, which of the following is true?
Suppose that you are considering whether to publish a weekly alternative newspaper on campus. You decide to survey a random sample of students on your campus to ask if they would be likely to read such a newspaper. Your plan is to proceed with publication only if the sample data provide strong evidence that more than 10% of all students on your campus would be likely to read such a newspaper. The parameter of interest is the proportion of all students who would likely read an alternative campus newspaper. The null hypothesis = 0.10 and the alternative hypothesis is greater (>) than 0.10. -What is power in the context of this problem?
We are comparing two samples during a hypothesis test. Sample A has a z-test statistic of 1.58 and sample B has a z-test statistic of -0.34. We can say then that... If H-naught is true, then Sample B has a higher probability of occurring while Sample A has a lower probability of occurring. If H-naught is true, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring. We reject the null hypothesis. If H-naught is rejected, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring.
A new blood test is being developed to screen patients for cancer. Positive results are followed up by a more accurate (and expensive) test. It is assumed that the patient does not have cancer. The null hypothesis is that the patient does not have cancer. Which type of error would be more serious because it would result in a cancerous patient not receiving appropriate treatment? Question 16 options: a Type I error b Type II error
It has recently been claimed that 25% of adults consider spring to be their favorite season of the year. A researcher is skeptical of this claim and believes this percentage to be too low. She surveys a random of 1000 adults and find that 390 of these adults consider spring to be their favorite season of the year. As she prepares to conduct a hypothesis test, the researcher writes out her alternative hypotheses as P< 0.25 what is wrong with this? The alternative hypothesis should be p<0.39 The alternative hypothesis should be p>0.39 The alternative hypothesis should bep>0.25 The alternative hypothesis should bep=0.25
An auto shop wants to examine the proportion of customers that have to return after an appointment. Last year, an examination of 381 customers found that 33.0% had to return after an appointment. You instituted some changes at the auto shop this year, and found from a sample of 258 customers that 36.2% had to return after an appointment. You want to conduct a hypothesis test to determine if there has been an increase in the proportion of customers that need to return after an appointment since the past year, with a = 0. 10. Using this information, what is the p in your analysis? Round your final answer to two decimal places. Note: 1- Enter your final answer with 2 decimal places.
Suppose, you are running an experiment that has two outcomes, namely 'success' and 'failure'. You intially don't know the probability of success in a single experiment. But you know that, if you continue to run the experiment several times, the expected number of experiment required for the first success is 25. What is the variance of the number of experiments required for the first success?
You run a house flipping business where you buy thousands of houses across the country, hire contractors to fix them up, and try to sell them. For any given house, you figure there is a 50%/50% chance of gaining 60% or losing 40%. This means your expected return per house is 0.5x0.60+0.5x(-0.40) = 0.10 = 10%. The variance per house is 0.5x(0.60-0.10)2 + 0.5x(-0.40-0.10)2 = 0.25. If the covariance between houses is 0.10, what is the variance of your portfolio of thousands of houses
When the independent variable has more than two levels, a researcher cannot just run multiple t tests, because as more statistical tests are run: Question 3 options: it becomes increasingly more difficult to reject the null hypothesis. the probability of making a Type I error in one of the tests increases. degrees of freedom are lost. the probability of making a Type III error in one of the tests increases.
A random sample of n₁ = 16 communities in western Kansas gave the following rates of hay fever per 1000 population for people under 25 years of age. 121 115 124 99 134 121 110 116 113 96 116 116 135 96 96 116 A random sample of n₂ = 14 communities in western Kansas gave the following rates of hay fever per 1000 population for people over 50 years old. 113 86 106 102 113 94 94 108 103 99 78 105 88 100 Assume that the hay fever rate in each age group has an approximately normal distribution. Using the method outlined in Brase and Brase, do the data indicate that the age group over 50 has a lower rate of hay fever? Use a = 0,05. Do you reject or fail to reject the null hypothesis? Are the data statistically significant at the α = 0.05 level of significance?
A company believes that it controls more than 30% of the total market share for one of its products. To prove this belief, a random sample of 144 purchases of this product is contacted. It is found that 50 of the 144 purchases were of this company's brand. If a researcher wants to conduct a statistical test for this problem, the alternative hypothesis would be _______. the population proportion is less than 0.30 the population proportion is more than 0.30 the population proportion is not equal to 0.30 the population mean is less than 40

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS