True or False? The less Type I error you are willing to accept the less likely you are to makea Type Il error.TrueFalseQuestion 3An alpha level of 0.05 implies that the researcher:O is willing to live with a 5% chance that he/she will conclude that there is a difference when therereally isn'tO This is just the accepted alpha level, it has no significance.O is willing to live with a 95% chance that he/she will conclude that there is a difference when therereally isn'tO is willing to live with a 5% chance that he/she will conclude that there isn't a difference whenthere really isis willing to live with a 5% chance that the differences are duc to hypothesized reason, not due tochance

Significance level = 0.05 Means that there is a 5% probability that sample data values collected…

Answered: True or False? The less Type l error…

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

Test the claim that the mean GPA of night students is smaller than the mean GPA of day students at the 0.025 significance level. The null and alternative hypothesis would be: Ho: HN S HD Ho:pN 2 PD Ho:PN = PD Ho:UN = HD Ho: PN HD H:PN PD H1: µN Next Question hp
What are the independent and dependent variables for the following examples? What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Sally wants to examine whether there is a difference in muscular strength between participants who engaged in an 8-week resistance training program and participants who engaged in an 8-week endurance training program. The participants only took part in one of the 8-week programs, not both. What test would she use to determine whether the differences in muscular strength are significant? Why?
Mark performed a two-sample z-test for proportions to test the hypothesis that there was no difference in the proportion who support increasing student fees between male and female students at a particular university. Mark obtained a z-statistic of 0. Based on this information, which of the following is always true. The sample proportions for male and females will be the same as the hypothesized proportions for male and female students at this university. The sample proportions for both male and female students at this university will be 0. All male and female students in the sample will feel the same way about supporting the increase in student fees. The sample proportions will be the same for both male and female students at this university. Test whether p1>p2 The sample data are x1=116,n1=258,x2=135,n2=311. Conduct a test at the α=0.10 level of significance. Determine the correct null and alternative hypothesis below. Determine the test statistic. Find the P-value: What is…
Which of the following statements is true regarding the influence of a small alpha level in the context of hypothesis testing? a. A small alpha level reduces the likelihood of a Type I error. b. A small alpha level reduces the effect size. c. A small alpha level increases statistical power. d. A small alpha level increases the likelihood of detecting statistical significance.
You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly different from 0.85. You use a significance level of α=0.002α=0.002. H0:p=0.85H0:p=0.85 H1:p≠0.85H1:p≠0.85You obtain a sample of size n=415n=415 in which there are 361 successes.What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =
Answer the following True or False: Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up accepting the alternative hypothesis in error. false true
QUESTION 2 You conduct a study to understand whether happy people are more likely to exercise than sad people. In your sample of happy people. 25 chose to exercise and 10 chose to take a nap. In your sample of sad people, 5 chose to exercise and 35 chose to take a nap. (1) What is the null hypothesis? a. There is a difference in rates of exercise among happy and sad people. b. There is an association in rates of exercise among happy and sad people. c. There is not a difference in rates of exercise among happy and sad people. d. There is not an association in rates of happiness among those who exercise and those who nap. (2) What is the expected frequency for happy people who exercise? (3) What is the expected frequency for sad people who exercise? (4) What is the expected frequency for happy people who nap? (5) What is the expected frequency for sad people who nap? (6) What is your chi-square value? (7) How many degrees of freedom are there? (8) Assuming alpha is equal to .05, what is…
You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly different from 0.34. You use a significance level of α=0.005α=0.005. H0:p=0.34H0:p=0.34 H1:p≠0.34H1:p≠0.34You obtain a sample of size n=551n=551 in which there are 164 successes.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? (Report answer accurate to four decimal places.)p-value =
Pearson’s correlation is the only statistical test that can measure the relationship between two variables. a. True b. False A strong correlation indicates there is a cause-and-effect relationship between two variables. a. True b. False Within a hypothesis test, estimated standard error provides a measurement of which of the following: a. The typical amount of sampling error expected when the null hypothesis is true b. The typical mean expected when the null hypothesis is true c. The typical amount of sampling error expected when the null hypothesis is false d.The typical mean expected when the null hypothesis is false
Question 3 > Which of the following statements is false about the principles of a good experiment? O Studying many cases (e.g. including many patients in a study) is often more helpful than just including a few cases in the study. O Using a control group with a placebo is important since otherwise subjects in the control group may behave differently than these in the treatment group. O If we collect more information on each case (e.g. take repeated measurements on each individual) that might be helpful to obtaining more precise results in an experiment. OWe can always generalize the result of a study to the greater population so long as we randomize which patients go into which study groups. Randomizing individuals into groups is one way of preventing accidental bias from creeping into a study. Considering (controlling) more variables in planning an experiment helps ensure each study group is similar to the other study groups. > Next Question étv 18 & % %24 8. 9. 6 7 4.
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 68%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. State the null hypothesis H, and the alternative hypothesis H that we would use for this test. H: 0 O
You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly different from 0.27. You use a significance level of α=0.001. H0:p=0.27H0:p=0.27 H1:p≠0.27H1:p≠0.27You obtain a sample of size n=406n=406 in which there are 97 successes.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? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a certain cancer is different from 0.27. There is not sufficient evidence to warrant rejection of the claim that the probability of a true negative on a test for a…

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