Which of the following is not true about statistical significance? the difference is a result of random chance. the result is statistically significant when p-value is less than alpha level. The probability of a result occurring by chance is less than the alpha level. the result is statistically significant when we reject the null hypothesis.

Which of the following is not true about statistical significance? the difference is a result of random chance. the result is statistically significant when p-value is less than alpha level. The probability of a result occurring by chance is less than the alpha level. the result is statistically significant when we reject the null 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

A test to determine whether a certain antibody is present is 99.4% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.4% of the time. The probability of a test coming back positive when the antibody is not present (a false positive) is 0.006. Suppose the test is given to seven randomly selected people who do not have the antibody. (a) What is the probability that the test comes back negative for all seven people? (b) What is the probability that the test comes back positive for at least one of the seven people?
What is the probability of getting a negative triple-test result when the fetus actually has Down syndrome (i.e. a false-negative result)? Remember: Pr[DS] = 0.001 Pr[+ result | DS] = 0.60 Pr[+ result | no DS] = 0.05 BAYES' THEOREM PRIA B = PRIB AJPRIA] PRIB
A test to determine whether a certain antibody is present is 99.2% effective. This means that the test will accurately come back negative if the antibody is not present (in the test subject) 99.2% of the time. The probability of a test coming back positive when the antibody is not present (a false positive) is 0.008. Suppose the test is given to six randomly selected people who do not have the antibody. (a) What is the probability that the test comes back negative for all six people? (b) What is the probability that the test comes back positive for at least one of the six people?
You have decided that you should become more familiar with random variables and probability. You first roll a 20-sided die. What is the probability of observing a 10 on any given roll of the die? Respond with an answer to the second decimal point, that is, 0.09 instead of 0.10.
A new breathalyser is being trialled. When alcohol is present, the breathalyser correctly predicts alcohol in the system 90% of the time, but gives a false positive (indicates alcohol in the system when the individual has not drunk any alcohol) 4% of the time. On 20th December within the adult population 25% of individual have had alcohol. Given the breathalyser is positive what is the probability you have had an alcoholic drink? 0.948 0.980 0.720 0.882 0.957 No answer
Use the given probability value to determine whether the sample results could easily occur by chance, then form a conclusion. A study of 420,095 cell phone users resulted in 135 who developed cancer of the brain or nervous system. When comparing this sample group to another group of people who did not use cell phones, it was found that there is a probability of 0.512 of getting such sample results by chance. What do you conclude? The probability shows that the sample results V have easily occurred by chance. It appears that there sufficient evidence to conclude that cell phones have an effect on cancer of the brain or nervous system.