Which of the following is a true statement? O The p-value of a test is the probability of obtaining a result as extreme (or more extreme) as the one obtained assuming the null hypothesis is false. The smaller the p-value, the more evidence there is against the null hypothesis. The alternative hypothesis is one-sided if there is interest in deviations from the null hypothesis in two directions. You should state the alternative hypothesis after you calculate your test statistic to make sure your p-value is as small as you need it to be. If the p-value for a test is 0.02, the probability that the null hypothesis is true is 0.02.

Which of the following is a true statement? O The p-value of a test is the probability of obtaining a result as extreme (or more extreme) as the one obtained assuming the null hypothesis is false. The smaller the p-value, the more evidence there is against the null hypothesis. The alternative hypothesis is one-sided if there is interest in deviations from the null hypothesis in two directions. You should state the alternative hypothesis after you calculate your test statistic to make sure your p-value is as small as you need it to be. If the p-value for a test is 0.02, the probability that the null hypothesis is true is 0.02.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

64
The accompanying table shows the results from a test for a certain disease. Find the probability of selecting a subject with a negative test result, given that the subject has the disease. What would be an unfavorable consequence of this error? The individual actually had the disease Yes 329 15 No Positive Negative 1127 The probability is (Round to three decimal places as needed.)
lementary school believes that this year there would be more students from the school who would pass the National Achievement Test (NAT), so that the proportion of students who passed the NATİS greater than the proportion obtained in previous year, which is o.75. 1. What will be the appropriate null and alternative hypothesis to test this belief? 2. How does probability-value (p-value) approach differs from the traditional method? ESSON PROPER With the accessibility of computers, calculators and statistics software, the probab ue (p-value) approach has become popular. In the process, we evaluate the null hypothe uming it tobe true and test the reasonableness of this assumption by calculating the probi
I need the answer as soon as possible
Kindly do it correct and cross check after doing it it's important
You are conducting a multinomial Goodness of Fit hypothesis test for the claim that all 5 categories have the probabilities listed below. Complete the table. Report all answers correct to three decimal places. Ho:PA = 0.17, pB = 0.15, pc = H: At least one probability is not correct (Claim) 0.31, pp = 0.19, på = 0.18 a.) Complete the table below Observed Frequency Expected Frequency Residual Category Values 17 B. 9. C 22 22 Total Residual Values Degrees of Freedom Expected Frequency (0 E) # of categories -1 E = (Prob,) - (Total) R E b.) What is the chi-square test-statistic for this data? c.) For signifícance level alpha 0.1, what is the chi-square Critical Value? Critical Value x = E.
True or False: If a P-value is 0.01, then the probability that Ho will be rejected is 0.01 or 1%. O True O False
Evaluate the significance of the p-value. You can think of the p-value as the probability that the null hypothesis is true. A value greater than 0.05 indicates that in more than 1 in 20 (or more than 5%) repetitions of an experiment of the same size, the observed deviation from predicted valuescould have been obtained by chance, even if the null hypothesis is actually true; the data are therefore not significant for rejecting the null hypothesis. Statisticians have arbitrarily selected the 0.05 p-value as the boundarybetween rejecting or not rejecting the null hypothesis. A p-value of less than 0.05 means that you can consider the deviation to be significant, and you can reject the null hypothesis.
2
Which one of the following statements is incorrect: A. A type I error consists of rejecting the null hypothesis when it is true B. A type II error consists of accepting the null hypothesis when it is false C. You can control simultaneously both the Type I and Type II error probabilities when the sample size is fixed D. Hypothesis testing and confidence intervals are related concepts
A new boarding policy has been proposed by an airline. Frequent flyers and non-frequent flyers were asked for their opinions, and the results are summarized in the table shown here. Find the probability a person chosen at random from among the people surveyed favors the new policy and is a frequent flyer. Enter your answer correctly to two decimal places. Remember, a probability is expressed as a number between zero and one, inclusive. Opinion on Policy In Favor Of (A) Neutral (B) Opposed To (C) Frequent Fliers (D) 48% 23% 4% 75% Non-Frequent Fliers (E) 15% 3% 7% 25% 63% 26% 11% 100%
What is the correct interpretation of the p-value? The probability our alternative hypothesis is true O The probability our null hypothesis is true, given extremes similar to our sample The probability our sample is correct The probability our null hypothesis is false, given extremes similar to our sample