Research Methods & Statistics
PSY3 – RM3A
SHANNON JADE SCHOFIELD - 50393
,Section A: True/false questions [10 marks]
1. The independent-measures t-test uses data from two separate
samples to test a hypothesis about the mean difference between two
populations.
2. If both samples have n = 10, the independent-measures t statistic will have df = 19.
3. If an independent-measures t statistic has df = 20, then there were a
total of 18 individuals participating in the research study.
4. With a repeated-measures study, it is possible to evaluate the difference
between two treatments using only one sample of subjects.
1
, 5. When computing difference scores (D values) the sign of the difference (+
or –) is not important. You need to record only the size of the difference.
6. A researcher reports df = 18 for a repeated-measures t statistic. This
research study used a total of n = 19 participants.
7. In a chi-square test, the sample data are called observed frequencies.
8. It is impossible to obtain a negative value for chi-square.
9. The value of df for a chi-square test does not depend on the sample size (n).
10. Regression analysis is used to assess relationships between two variables.
Section B: Calculations [90 marks]
1. A researcher is interested in the creation of a model to predict 'happiness'
using the 'hours spent on a treadmill' among young adults in South Africa.
Scores were obtained from a sample of 6 people.
Treadmill Happine
hours ss
7 4
8 3
9 8
5 6
4 2
3 1
2
PSY3 – RM3A
SHANNON JADE SCHOFIELD - 50393
,Section A: True/false questions [10 marks]
1. The independent-measures t-test uses data from two separate
samples to test a hypothesis about the mean difference between two
populations.
2. If both samples have n = 10, the independent-measures t statistic will have df = 19.
3. If an independent-measures t statistic has df = 20, then there were a
total of 18 individuals participating in the research study.
4. With a repeated-measures study, it is possible to evaluate the difference
between two treatments using only one sample of subjects.
1
, 5. When computing difference scores (D values) the sign of the difference (+
or –) is not important. You need to record only the size of the difference.
6. A researcher reports df = 18 for a repeated-measures t statistic. This
research study used a total of n = 19 participants.
7. In a chi-square test, the sample data are called observed frequencies.
8. It is impossible to obtain a negative value for chi-square.
9. The value of df for a chi-square test does not depend on the sample size (n).
10. Regression analysis is used to assess relationships between two variables.
Section B: Calculations [90 marks]
1. A researcher is interested in the creation of a model to predict 'happiness'
using the 'hours spent on a treadmill' among young adults in South Africa.
Scores were obtained from a sample of 6 people.
Treadmill Happine
hours ss
7 4
8 3
9 8
5 6
4 2
3 1
2
