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
Answer #1
Not the answer you're looking for?
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.
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 5 minutes ago
asked 28 minutes ago
asked 28 minutes ago
asked 41 minutes ago
asked 43 minutes ago
asked 49 minutes ago
asked 50 minutes ago
asked 51 minutes ago
asked 52 minutes ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago