A researcher is interested in the relationship between political party affiliati
ID: 3259261 • Letter: A
Question
A researcher is interested in the relationship between political party affiliation (Democrat or Republican) and support for a woman's right to choose (Pro-Choice). In order to do this she uses a standardized measure for determining support for Pro-Choice. The higher the person scores on the measure, the greater is his or her support for Pro-Choice.
If the researcher fails to find a significant difference, when in fact one exists in the population:
When we risk committing a Type I error:
We risk rejecting the null hypothesis when it is true
Our sample size was too large
We risk accepting the null hypothesis when it is false
When the null hypothesis is rejected:
it is quite likely that the difference between means is a result of sampling error.
the research hypothesis is proven false.
it is unlikely that the difference between means is a result of sampling error.
the population means are equal.
a Type I error has been made.
a Type II error has been made.
the null hypothesis was correctly rejected.
the research hypothesis was correctly accepted.
We risk rejecting the null hypothesis when it is true
Our sample size was too large
We risk accepting the null hypothesis when it is false
The cost of a Type II error is always greater.When the null hypothesis is rejected:
it is quite likely that the difference between means is a result of sampling error.
the research hypothesis is proven false.
it is unlikely that the difference between means is a result of sampling error.
the population means are equal.
Explanation / Answer
When we risk committing a Type I error:
The correct answer is ;- We risk rejecting the null hypothesis when it is true
The cost of a Type II error is always greater.
The correct answer is ;-the research hypothesis is proven false.
When the null hypothesis is rejected:
The correct answer is ;- a Type I error has been made.
Note:-
Type I Error
Rejecting the null hypothesis when it is in fact true is called a Type I error.
Type II Error
Not rejecting the null hypothesis when in fact the alternate hypothesis is true is called a Type II error.
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