Question 763137: This is my problem below. I do not understand much of anything that is going on. At points I think I understand it only to be wrong. Please help me. Not only do I need help with this but I also need to be able to do it for myself. Any advise on how would be greatly appreciated!
A researcher predicts that watching a film on institutionalization will change students’ attitudes about chronically mentally ill patients. The researcher randomly selects a class of 36 students, shows them the film, and gives them a questionnaire about their attitudes. The mean score on the questionnaire for these 36 students is 70. The score for a similar class of students who did not see the film is 75. The standard deviation is 12. Using the five steps of hypothesis testing and the 5% significance level (i.e. alpha = .05), does showing the film change students’ attitudes towards the chronically mentally ill?
1.What does it mean to set alpha at .05?
2.What is your null hypothesis? Alternate hypothesis?
3.Is this a one-tailed or two-tailed hypothesis?
4.What is the criterion z?
5.Suppose the obtained z was -2.5. Do you reject or fail to reject the null hypothesis?
6.State in words what you have found.
Number six is where I am having problems the most! How am I suppose to put these number and stuff in words!
This is what I got but fear it is wrong. I also had a little help with just this little bit.
ME:"p" known as "p-value" utilized for testing a "hypothesis"
"0.05" is "confidence level" or "alpha"
For case (p<0.05), this means to accept "null hypothesis" which is the original hypothesis of the problem.
example of null hypothesis: average test score = 75%
example of alternative hypothesis:average test score > 75%
Answer by rothauserc(4718)   (Show Source):
You can put this solution on YOUR website! 1) First, the difference between the results of the experiment and the null hypothesis is determined. The probability of a difference that large or larger is computed. This probability is compared to the significance level. If the probability is less than or equal to the significance level, then the null hypothesis is rejected and the outcome is said to be statistically significant.
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2) Our Null hypothesis is "The mean score on the questionnaire of the group watching the film is statistically equal to the mean score for the group that did not watch the movie". The Alternate Hypothesis is "Watching a film on institutionalization will change students’ attitudes about chronically mentally ill patients, that is, the mean score for the group watching the film will be statistically different from the mean score for the group that did not watch the film".
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3) This is a two-tailed hypothesis , since the researcher hypothesizes that the film will change students attitudes.
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4) The criterion z for alpha = .05 are -1.96 and +1.96. We reject the null hypothesis if z < -1.96 or z > +1.96
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5) We reject the null hypothesis for z = -2.5
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6) There is a statistical difference between the mean scores of the two groups which implies that the film did change students’ attitudes towards the chronically mentally ill.
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