The term "p-value," which comes into play in the analysis and conclusions steps of the scientific method, be defined as: The probability that the alternative hypothesis is true. O The probability that the null hypothesis is true. The probability of obtaining your data, or something even more extreme, if the null hypothesis is true. The probability that you should reject your alternative hypothesis.

The term "p-value," which comes into play in the analysis and conclusions steps of the scientific method, be defined as: The probability that the alternative hypothesis is true. O The probability that the null hypothesis is true. The probability of obtaining your data, or something even more extreme, if the null hypothesis is true. The probability that you should reject your alternative hypothesis.

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

For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Using a small level of significance.B. Obtaining data with a large P -value.C. Obtaining data with a small P -value.D. Using a large level of significance. (b) The P -value of a test of a null hypothesis is A. the probability the null hypothesis is false.B. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.C. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.D. the probability the null hypothesis is true. (c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. 0.05B. a statement of ''no effect'' or ''no difference''.C. a statement that the data are all 0.D. the probability of observing the data you actually…
Which of the following correctly describes the meaning of the p-value? a. The p-value is the probability the alternative hypothesis is true. b. The p-value is the probability the null hypothesis is true. c. The p-value is the probability we would get results like our sample (or something more extreme), given the null hypothesis is true. d. The p-value is the probability the null hypothesis is true, given our sample. e. The p-value is the probability the alternative hypothesis is true, given our sample.
Suppose you have a hypothesis test which never rejects the null hypothesis, no matter the value of the test statistic. Name a potential problem with such a test. Select one: a. There can be no problem with such a hypothesis test, this is the ideal scenario. b. Using this test would lead to making an excessive number of Type I errors. c. Using this test would lead to making an excessive number of Type II errors.
Español Try Again Your answer is incorrect. The proportion of residents in a community who recycle has traditionally been 65%. A policy maker claims that the proportion is less than 65 % now that one of the recycling centers has been relocated, and the policy maker wishses to carry out a hypothesis test. State the null hypothesis H, and the alternative hypothesis H, that the policy maker would use for this test. Ho: 0.65 Aa H: 0.65 S O
Charlie will perform a hypothesis test at the a = 0.05 level. Felice will perform the same test at the a = 0.01 level.
For each problem, select the best response
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.)
A fellow student tells you the P-value is the probability that the null hypothesis is true, so when the P-value is small, you reject the null hypothesis. Explain why the student is not correct. What would you tell the student about the P-value to help them out? What exactly is the relationship between the P-value and the hypotheses?
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).
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit
Statistical power is related to: a. effect size b. the probability of correctly rejecting the null hypothesis c. the probability of not making a Type 1 error d. the probability of not making a Type 2 error
Consumers Energy states that the average electric bill across the state is $67.16. You want to test the claim that the average bill amount is greater than $67.16. The hypotheses for this situation are Null Hypothesis: u = 67.16, Alternative Hypothesis: u > 67.16. If the true statewide average bill is $51.28 and the null hypothesis is not rejected, did a type I, type II, or no error occur? a No error has occurred. b Type I Error has occurred. c Type II Error has occurred. d We do not know the p-value, so we cannot determine if an error has occurred.