A company's old decongestant formula provided relief for 84% of the people who used it. The company tests a new formula to see if it is better, and gets a P-value of 0.11. State the null and alternative hypotheses. Is it reasonable to conclude that the new formula and the old oneare equally effective? Explain.What is the null hypothesis?Ho:What is the alternative hypothesis?HA:Choose the correct answer below.CO A. It is not reasonable to conclude that the new formula and the old one are equally effective. There is a 11% chance the new formula is better than the old one.O B. Since the P-value is greater than 0.05, it seems that the new formula is equally effective as the old one.O C.It is not reasonable to conclude that the new formula and the old one are equally effective. The P-value cannot suggest this conclusion.O D. Since the P-value is greater than 0.05, it seems that the new formula is more effective than the old one.

Answered: ire equally effective? Explain. "What…

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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Rejecting the null hypothesis when the research hypothesis is false is? a. Effect size b. Power c. A type 1 error d. A type 2 error
A researcher test a hypothesis find that p value equal to .2. Explain why the researcher cannot claim that the probability that the H subscript 0 is true is .2? You choose an alpha level of .01 and then analyze your data. What is the probability that you will make a Type I error given that the null hypothesis is true? What is the probability that you will make a Type I error given that the null hypothesis is false?
pls answer based on the choices
Answer these questions A, B, C and D question
Which of the following relates to the acceptance of the null hypothesis when it is actually false?1. Type I error 2. Type II error 3. Power 4. Statistical significance
Q1 Probability and Statistics
Algebra students in a local high school use a computer-based program to brush up on algebra skills to be assessed by a test. The program claims that 80% of students using the program will pass the test. After an early pilot of the new program, only 35 of 50 students passed the test. A 1-proportion z test is going to be conducted to see if there's evidence that the true passing rate is less than what was claimed. The null hypothesis is p = 0.80. (a) What is the alternative hypothesis? H₂: P = 0.80 H₂: p > 0.80 H₂ P= = 0.80 H₂: p< < 0.80 0000 (b) What is the value of z, the test statistic? (Round your answer to two decimal places.) Z = (c) What is the P-value? (Use a table or technology. Round your answer to four decimal places.)
Answer all parts
explain please
3/ a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses? The test statistic, t, The P-value is State the conclusion for the test. A. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. B. Reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. D. Reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights…
True or False?
In hypothesis testing, O if the P-value is 0.01, we should conclude there is a 1% chance the null hypothesis is false. O neither the test statistic nor the P-value can ever be negative. O we always begin the hypothesis test by assuming the null hypothesis is true. O if the P-value is 0.99, we should conclude that the null hypothesis is true. O results that are statistically significant will always be practically important (or practically significant).

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