If a researcher fails to reject the null hypothesis, he or she can conclude that: Question 35 options: the null hypothesis is true. the alternative hypothesis is true. there is adequate evidence to reject the null. there is no adequate evidence to reject the null.

Question 35 there is no adequate evidence to reject the null. LAST OPTION IS CORRECT. in hypothesis…

Answered: If a researcher fails to reject the…

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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In a certain test of hypothesis, the null hypothesis was NOT rejected. Which of the following is a proper conclusion? O There is insufficient evidence to support that the alternative hypothesis is true. O The alternative hypothesis is true. O The null hypothesis is true. There is insufficient evidence to support that the null hypothesis is false
How do you know when to reject the hypothesis and when to fail to reject it, and whether there is -or is not -sufficient evidence to support a claim?
D. Whymight it be worse to make a Type 1 error in this scenario? E. Suppose that we fail to reject the null hypothesis. Wrote a conclusion statement in the context of the problem. Assume no errors were made.
A box model is used to conduct a hypothesis test for the following scenario: A marketing firm randomly selects 500 households in a town asking about their annual income. They want to test whether the percentage of households in town that have annual income above $100,000 is 50%. The SD of the ticket values in the box assuming the null hypothesis is true is best described as... a. Random and unknown; it must be estimated b. Fixed and unknown; it must be estimated c. Random and known d. Fixed and known
What are the null and alternative hypotheses? A. H0: The two variables, x and y, are associated. Ha: The two variables, x and y, are not associated. B. H0: The variable x is dependent upon y. Ha: The variable y is dependent upon x. C. H0: The two variables, x and y, are not associated. Ha: The two variables, x and y, are associated. The P-value is (Round to three decimal places as needed.) What is the conclusion of the independence test? A. Do not reject H0. The data provide sufficient evidence of an association. B. Reject H0. The data provide sufficient evidence of an association. C. Do not reject H0. The data do not provide sufficient evidence of an association. D. Reject H0. The data do not provide sufficient evidence of an association.
Do the following for the case below. a. State the null and alternative hypotheses for a hypothesis test. b. Describe the two possible outcomes of the test, using the context of the given situation. The governor claims that the percentage of adults over 24 who have graduated from high school is greater than 75%, the national average. What is the null hypothesis? A. The percentage of adults over 24 who have graduated from high school is 75%. B. The percentage of adults over 24 who have graduated from high school is greater than 75%. C. The national average for the percentage of adults over 24 who have graduated from high school is 75%.
Which of the following statements represents a null hypothesis? Strawberries are more nutritious than raspberries. More people prefer Burger King over McDonald's cheeseburgers. COVID is not more dangerous than influenza virus. Smoking cigars has a lower risk of cancer compared to smoking cigarettes.
What is a type I and a type II error? Select one: A. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. B. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. C. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false
When conducting a hypothesis test, we hope to avoid commiting a type 1 error, which is: 1. Not as bad as committing a type 2 error 2. rejecting a null hypothesis when it is true 3. rejecting the alternate hypothesis when it is true 4. accepting the null hypothesis when the alternate hypothesis is true
Express the null hypothesis H and the alternative hypothesis Hin notation form in the following scenarios: The percentage of women who watches sports on TV is nor 40% as claimed by a researcher.
You conduct a poll of FIU students in order to determine the percentage of students (p) who agree with the statement “Hot-dogs are one of my favorite foods”. In your poll, you find that 80 out of 100 students agree. You conduct a two-sided hypothesis test where H0: p = 0.7, where p is the proportion of students whose favorite food is hot dogs. Which of the following statements are true: I. You reject the null hypothesis when α = 0.05 II. You reject the null hypothesis when α = 0.01 III. The test statistic (Z) equals Z = +1.5 Group of answer choices II only
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 72%. 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. O State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. Ho: 0 H: 0 O0 O20 O=0 ?

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	the null hypothesis is true.
	the alternative hypothesis is true.
	there is adequate evidence to reject the null.
	there is no adequate evidence to reject the null.