In hypothesis testing, if the p-value is lower than alpha, then A.You should not accept the alternative hypothesis B.The probability of committing type 1 error is higher than you are willing to accept C.There is a strong probability of committing type 2 error if you reject the null hypothesis D.You should increase the sample size E.All of the above F.None of the above

From the provided information, The p value is lower than alpha.

Answered: In hypothesis testing, if the p-value…

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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☐True ☐False As a general rule, as the sample size increases the probability of rejecting the null hypothesis decreases.
Q- You ............. .................drug?
K In a random sample of males, it was found that 23 write with their left hands and 212 do not. In a random sample of females, it was found that 58 write with their left hands and 442 do not. Use a 0.05 significance level to test the claim that the rate of left-handedness among males is less than that among females. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of males and the second sample to be the sample of females. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P₁ P2 H₁: P₁ P2 O D. Ho: P₁ P2 H₁: P₁ P2 Z= OB. Ho: P1 P2 H₁: P₁ P2 Identify the test statistic. -0 (Round to two decimal places as needed.) Identify the P-value. OE Ho: P1 H₁: P₁ The P-value is hypothesis. There P-value= (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? P₂ P₂ OC. Ho: P₁ SP2 H₁: P₁ P₂ OF. Ho: P1 P2 H₁: P₁ P2 the significance level of a = 0.05, so Because…
In case of hypothesis testing in places where population variances are unknown and sample size is large (nl and n22 30), sample variances can be a good approximation of population variances. Which best describe this statement? Select one: O a. None of the choices O b. The statement is true c. The statement is false O d. Not enough data to support the statement O e. The statement is neither true nor false
Which of the following statements below is incorrect about Type II error? The larger the effect size, the smaller the power of the test will be. For a given probability of type I error, the probability of type II error can be reduced by increasing the sample size. The power of a test is equal to 1-3, where represents the probability that a hypothesis test does not reject a false null hypothesis. The effect size measures the distance between the true population proportion and the value assumed for it in the null hypothesis.
We will _______ if the test statistic lands in the unlikely region. Group of answer choices A. reject the alternative hypothesis B. fail to reject the null hypothesis C. cannot determine D. reject the null hypothesis and accept the alternative hypothesis
A high p-value, such as 0.8, provides evidence to say the null hypothesis is true. This statement is true. O This statement is false.
In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).

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	A.	You should not accept the alternative hypothesis
	B.	The probability of committing type 1 error is higher than you are willing to accept
	C.	There is a strong probability of committing type 2 error if you reject the null hypothesis
	D.	You should increase the sample size
	E.	All of the above
	F.	None of the above