Question

___ 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 given that the null hypothesis should be rejected. d. The researcher predicts the two groups will differ, but does not predict which group will be higher. e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance. f. The amount of type I error the researcher is willing to allow in the study. g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected. h. Determines the probability that the null hypothesis is true. i. Used to infer correlation and causation. j. Making a judgment on a population parameter based on sampling. |

Answer #1

d_ non-directional test b__ directional test f__ alpha level a__ null hypothesis g__ alternative hypothesis e__ rejection range i__ inferential j__ inference h__ significance tests c__ 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 given that the null hypothesis should be rejected. d. The researcher predicts the two groups will differ, but does not predict which group will be higher. e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance. f. The amount of type I error the researcher is willing to allow in the study. g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected. h. Determines the probability that the null hypothesis is true. i. Used to infer correlation and causation. j. Making a judgment on a population parameter based on sampling. |

The 95% confidence interval is functionally equivalent to:
A) non-directional hypothesis testing with a 0.05 alpha
level.
B) an interval based on a directional test with a 2.5% chance of
Type I Error.
C) the acceptable amount of Type I Error.
D) an inferential test with a 5% chance of Type II Error.
E) the likelihood of rejecting a false null 2.5% of the
time.

Suppose that in a certain hypothesis test the null hypothesis is
rejected at the .10 level; it is also rejected at the .05 level;
however it cannot be rejected at the .01 level. The most accurate
statement that can be made about the p-value for this test is
that:
p-value = 0.01.
p-value = 0.10.
0.01 < p-value < 0.05.
0.05 < p-value < 0.10.
Complete the sentence: If we do not reject the null hypothesis,
we conclude that _____....

research hypothesis stating the treatment effect in contrast to
the statement of null effect
alternative hypothesis
central limit theorem
sampling bias
two-tailed test
upper probability value allowed for rejecting the null
hypothesis
significance level
parameter
type 1 error
two-tailed test
drawing conclusions about a population from sample data
empirical data
inferential statistics
discrete distribution
random sampling
Assume that a new treatment for helping alcoholics isn't any
better than an old treatment. A researcher, who doesn't know this,
designs a study...

What is the correct interpretation of the significance level α
in a hypothesis test?
Group of answer choices
a. The probability that Ha is true given that
H0 is NOT rejected
b. The probability that H0 is true given that
H0 is rejected
c. The probability of NOT rejecting H0 given that
Ha is true
d. The probability of rejecting H0 given that
H0 is true

Identify the null hypothesis, alternative hypothesis, test
statistic, P-value, conclusion about the null hypothesis, and final
conclusion that addresses the original claim.
An article in a journal reports that 34% of American fathers
take no responsibility for child care. A researcher claims that the
figure is higher for fathers in the town of Littleton. A random
sample of 234 fathers from Littleton yielded 96 who did not help
with child care. Test the researcher's claim at the 0.05
significance level.

The null hypothesis in
a hypothesis test refers to _____________.
Multiple Choice
the level of
significance
the default state of
nature or status quo
the probability of
rejecting the alternative hypothesis when it is false
a particular
population parameter specified with the sign ≠

Would increasing the significance level of a hypothesis test
increase or decrease the likelihood of a researcher making a Type I
error?

In a two-tailed hypothesis test of the mean using a 0.05 level
of significance, researchers calculated a p-value of 0.03. What
conclusion can be drawn? The alternative hypothesis should be
rejected because the p-value is so small. The null hypothesis is
true because the p-value is less than the level of significance.
The alternative hypothesis is 3% likely to be true. The null
hypothesis should be rejected because the p-value is less than the
level of significance.
1.The alternative hypothesis...

If you conduct a hypothesis test and conclude the null
hypothesis is rejected at a 5% level of significance, then it
_____.
a)
will never be tested at the 1% level
b)
will always be rejected at the 1% level
c)
may be rejected or not rejected at the 1% level
d)
will always be accepted at the 1% level

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.

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