Ch. 7 Test- Sample Size, Effect Size, and Power
If the sample size goes up, what happens to the power? Goes up Goes down Stays the same None of the above
Goes up
In order to calculate the necessary sample size, you must incorporate: Effect size The alpha The power All of the above
All of the above
Which of the following is true about a very large sample size? A smaller effect size may be detectable Power may be larger Financially, it may not be feasible All of the above
All of the above
The risk of making a type 2 error is represented by: Power Beta Alpha Clinical significance
Beta
If the null hypothesis is correctly rejected, then the study had the power to detect: Alpha Beta Power Effect Size
Effect Size
The probability of detecting a difference that really exists is known as: Homogeneity Alpha Beta Power
Power
To be clinically significant a result must be: (Select all that apply) Statistically significant Clinically useful None of the above
Statistically significant Clinically useful
The effect size is: The ability to find a difference Another way to state making a type 2 error How sample sizes are calculated The size of the difference you are trying to determine
The size of the difference you are trying to determine
If you have a larger sample you will have greater power. True False
True
If you reject the null hypothesis, what type of error could you be making? Type 1 error Type 2 error
Type 1 error
It is recommended that a study have 200 participants. Only 80 participants signed up. If the study does continue with the 80 participants what should the researchers worry about? Type 2 error Type 1 error Power error Alpha error
Type 1 error
When you incorrectly reject the null hypothesis you have created what type of error? Fatal error Type 1 error No error was created Type 2 error
Type 1 error
A nurse at Lakeside Hospital has a hypothesis that if patients smile more, the patients will have a greater feeling of happiness. She begins a study to see if a relationship exists between smiling and happiness. If she incorrectly fails to reject the null, what type or error is that? Type 1 Type 2 Ch-square error Effect size error
Type 2
If you fail to reject the hypothesis because your sample size is too small what type of error might you be making? Type 1 Type 2 Type 1 & 2 no error is being made
Type 2
When a sample size is too small, you have a greater chance of making what kind of error? Power Type 1 Type 2 Effect
Type 2
When you miss an existing association between two variables, you are making what type of error? Type 1 Effective size Sampling Type 2
Type 2
Your study shows that there is no relationship between employment and students grades. However, that statement is incorrect. This is an example of what type of error? Type 1 Type 2 Qualitative T-test
Type 2
The error made when you miss an association that is really there is: Type 1 error Type 2 error Sampling error Alpha error
Type 2 error
You are conducting a study and need a sample size of 800 people. However, only 227 people showed up. What type of error are you concerned about making? Type 1 error Type 2 error Effect size error Sampling error
Type 2 error
