Module 5 Apply Your Knowledge
If a hypothesis test identifies a statistically significant finding, that means that the finding
is clinically significant and should be implemented into clinical practice as soon as
possible
True or False - answer False
A sample is:
Selected from the population of interest using a random process
Best selected by using nonprobability sampling methods
A subset of the population of interest
Best selected by using purposive sampling - answer A subset of the population of
interest
Which of the following p-values is/are statistically significant when alpha is set at 0.05?
0.010
0.410
0.999
0.100
0.500 - answer0.01
A small sample size:
Has no effect on the results of a statistical test
Increases the risk of a type 2 error
Increases the risk of a type 1 error
Increases the risk of both type 1 and type 2 errors - answerIncreases the risk of type 2
error
The 95% confidence interval for the mean of a set of observations indicates that 95% of
the observations fall within the confidence interval - answerFalse
A researcher determines that the results of a hypothesis test are statistically significant
when alpha is set at 0.05. This means that the p-value from the test is:
A researcher determines that the results of a hypothesis test are statistically significant
when alpha is set at 0.05. This means that the p-value from the test is
>.05
<.025 or >.975
>.95
<.05 - answer<.05
Sample size influences the ability of a hypothesis test to detect statistically significant
differences
True or False - answerTrue
If a hypothesis test identifies a statistically significant finding, that means that the finding
is clinically significant and should be implemented into clinical practice as soon as
possible
True or False - answer False
A sample is:
Selected from the population of interest using a random process
Best selected by using nonprobability sampling methods
A subset of the population of interest
Best selected by using purposive sampling - answer A subset of the population of
interest
Which of the following p-values is/are statistically significant when alpha is set at 0.05?
0.010
0.410
0.999
0.100
0.500 - answer0.01
A small sample size:
Has no effect on the results of a statistical test
Increases the risk of a type 2 error
Increases the risk of a type 1 error
Increases the risk of both type 1 and type 2 errors - answerIncreases the risk of type 2
error
The 95% confidence interval for the mean of a set of observations indicates that 95% of
the observations fall within the confidence interval - answerFalse
A researcher determines that the results of a hypothesis test are statistically significant
when alpha is set at 0.05. This means that the p-value from the test is:
A researcher determines that the results of a hypothesis test are statistically significant
when alpha is set at 0.05. This means that the p-value from the test is
>.05
<.025 or >.975
>.95
<.05 - answer<.05
Sample size influences the ability of a hypothesis test to detect statistically significant
differences
True or False - answerTrue