Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.
For the following research questions, create one null hypothesis, one directional research hypothesis, and one nondirectional research hypothesis.
What are the effects of attention on out-of-seat classroom behavior?
Research Hypothesis: There will be a relationship between the effects of attention on out-of-seat classroom behavior versus in-seat-classroom behavior.
What is the relationship between the quality of a marriage and the quality of the spouses’ relationships with their siblings?
Null Hypothesis: There will be no relationship in the relationship between the quality of a marriage and the quality of the spouses’ relationship with their siblings.
What is the best way to treat an eating disorder?
One Directional Research Hypothesis:
Provide one research hypothesis and an equation for each of the following topics:
The amount of money spent on food among undergraduate students and undergraduate student-athletes
The average amount of time taken by white and brown rats to get out of a maze
The effects of Drug A and Drug B on a disease
The time to complete a task in Method 1 and Method 2
Why does the null hypothesis presume no relationship between variables?
Create a research hypothesis tested using a one-tailed test and a research hypothesis tested using a two-tailed test.
What does the critical value represent?
Given the following information, would your decision be to reject or fail to reject the null hypothesis? Setting the level of significance at .05 for decision making, provide an explanation for your conclusion.
The null hypothesis that there is no relationship between the type of music a person listens to and his crime rate (p < .05).
In Hypothesis Testing, we typically deem a research hypothesis to be significant, if the odds of two means actually being equal are no greater than 1 in 20 or .05 (5%) or less.
The null hypothesis that there is no relationship between the amount of coffee consumption and GPA (p = .62).
The null hypothesis that there is a negative relationship between the number of hours worked and level of job satisfaction (p = .51).
Why is it harder to find a significant outcome (all other things being equal) when the research hypothesis is being tested at the .01 rather than the .05 level of significance?
At the .01 level, there is less room for error because the test is more rigorous.
Why should we think in terms of “failing to reject” the null rather than just accepting it?
When is it appropriate to use the one-sample z test?
What similarity does a z test have to a simple z or standard score?
For the following situations, write out a research hypothesis:
Bob wants to know if the weight loss for his group on the chocolate-only diet is representative of weight loss in a large population of middle-aged men.
The health department is charged with finding out if the rate of flu per thousand citizens for this past flu season is comparable to the average rate of the past 50 seasons.
Blair is almost sure that his monthly costs for the past year are not representative of his average monthly costs over the past 20 years.
There were about 15 flu cases per week, this flu season, in the Oshkosh school system. The weekly average for the entire state is 16 and the standard deviation, is 2.35. Are the kids in Oshkosh as sick as the kids throughout the state?
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