Discussion:
Q1. A researcher knows that the population mean among college students taking the social test is a "neutral" 100. (scores higher than 100are assumed to represent more conformity than average and those lower than 100 indicates less conformity). A random sample of 30 students was selected, and the following values recorded:
Sample mean=103
Sample standard deviation=10.83
Is this sample significantly different than the population?
State the null and alternative hypothesis.
Q2. A recent national survey reports that the general population gives the president an average rating of mean=62 on a scale of 1 to 100. A researcher suspects that college students are likely to be more critical of the president than people in the general population. To test these suspicions, a random sample of college students is selected and asked to rate the president. The data for this sample are as follows:
44, 52, 24, 45, 39, 57, 20, 38, 78, 74, 61, 56, 49, 66, 53, 49, 47, 88, 38, 51, 65, 47, 35, 59, 23, 41, 50, 19.
On the basis of this sample, can the researcher conclude that college students rate the president differently? Test at the .01 level of significance, two tailed.
Q3. A family therapist states that father talk to their teenagers on average of twenty seven minutes per week. Surprised by that claim, a psychologist decided to collect some data on the amount of time fathers spend in conversation with their children. For n=12, parents the study revealed the following times (in minutes) devoted to conversation in a week: 29, 22, 19, 25, 27, 28, 21, 22, 24, 26, 30, 22.
Do the psychologist's findings differ significantly from the therapist's claim? If so, is the family expert's claim an overestimate or underestimate of actual time spent talking to children? Use the.05 level of significance, two tailed.
Q4. For the following data, calculate the Pearson Correlation.
Person X Y
A 0 4
B 2 1
C 8 10
D 6 9
E 4 6
Q5. Do weather conditions affect peoples' moods? To examine this question, a researcher selected three samples of college students and administered a mood inventory questionnaire to each student. One group was tested on a dreary, overcast and drizzling day. The second group was tested during a violent thunderstorm and the third group was tested during a violent thunderstorm, and the third group was tested on a bright sunny day. The data is as follows:
Dreary: 6, 9, 10, 12, 5, 7, 12, 8, 7, 10
Stormy: 8, 12, 10, 6, 8, 9, 14, 10, 7, 7
Bright: 13, 10, 6, 13, 10, 8, 9, 12, 15, 11
Does the data indicate that weather has an effect on mood? Test at the .05 level of significance.
Q6. A researcher wanted to know if there is a relationship between arousal and performance. The general result of similar studies shows that increasing the level of arousal tends to improve the level of performance. The data given has three levels of arousal and two levels of task difficulty. Does this data indicate a significant relationship between arousal and performance? Does the level of difficulty affect performance?
AROUSAL LEVEL
Low Medium High
3 2 9
1 5 9
EASY 1 9 13
6 7 6
4 7 8
TASK DIFFICULTY
0 3 0
DIFFICULT 2 8 0
0 3 0
0 3 5
3 3 0
Q7. A random sample of 100 adult workers 60 men and 40 women are selected in a large city. Of the group 42 men and 17 women are union members. Does the union membership differ on the basis of gender? State the independent and dependant variables.