Question

An alpha (significance) level is set at .05 for a research study, What does this mean?...

An alpha (significance) level is set at .05 for a research study, What does this mean?

A. A researcher is willing to reject the null hypothesis if the probability of the null hypothesis being true is lower than .05.

B. A researcher is willing to reject the null hypothesis if the probability of the alternative hypothesis being true is lower than .05.

C. A researcher is willing to reject the null hypothesis if the probability of the null hypothesis being true is higher than .01.

D. A researcher is willing to reject the alternative hypothesis if the probability of the null hypothesis being false is higher than .01.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
___ non-directional test       ___ directional test      ___ alpha level           ___ null hypothesis     ___ alternative hypothe
___ non-directional test       ___ directional test      ___ alpha level           ___ null hypothesis     ___ alternative hypothesis      e. ___ rejection range     ___ inferential            ___ inference             ___ significance tests ___ statistical power a. The hypothesis that is rejected or retained using inferential statistics and is often the opposite of what the researcher believes to be true. b. The researcher hypothesizes that a given score will be either higher or lower than the chosen level of significance. c. The likelihood of rejecting the null hypothesis...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. 2. If alpha is greater than the p-value, then we reject the null hypothesis. 3. The p-value is strictly the probability the null hypothesis being true. 4. Hypothesis tests are accessing the evidence provided by the data and deciding between two competing hypotheses about the population parameter....
1. Setting the significance level cutoff at .10 instead of the more usual .05 increases the...
1. Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of a. a Type I error. b. a Type II error. c. failing to reject the null hypothesis. d. accepting the null hypothesis when, in fact, it is false. 2. A Type I error is the result of a. improper measurement techniques on the part of the researcher. b. failing to reject the null hypothesis when, in fact, it is true. c. incorrectly...
If a directional, .05 level of significance (predicted ‘lower than’) had been chosen, what z-score would...
If a directional, .05 level of significance (predicted ‘lower than’) had been chosen, what z-score would be needed for the difference between X and µ to be significant? A. -1.65 B. -1.96 C. -2.33 D. +/- 1.65 If the probability of finding a difference that really does exist is .65 (correctly rejecting the null hypothesis when the null hypothesis really is false), what is the probability of the Type II error? A. .05 B. .95 C. .35 D. .65 also
What should you conclude if your p-value is greater than the level of significance (alpha)? a)...
What should you conclude if your p-value is greater than the level of significance (alpha)? a) conclude that chance alone produced the observed results b) do not reject the null hypothesis c) accept the null hypothesis d) accept the alternative hypothesis
Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood...
Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of A. a Type I error. B. accepting the null hypothesis when, in fact, it is false. C. a Type II error. D. failing to reject the null hypothesis.
A research report includes the statement, z = 2.13, p < .05. For this hypothesis test,...
A research report includes the statement, z = 2.13, p < .05. For this hypothesis test, the used null hypothesis is rejected using an alpha level of a = .05. True False
39. To locate the appropriate t value, which is not necessary? A. degrees of freedom b....
39. To locate the appropriate t value, which is not necessary? A. degrees of freedom b. level of confidence c. population mean d. variability in the population 40. The critical value (which is determined by the confidence level and corresponding alpha) is set by the researcher True or False 41. A “p-value” represents a. the practical solution b. the probability of the observed value occurring IF the hypothesis is true c. the probability of the observed value occurring IF the...
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.