Worksheetsme looking at week 7 mpsi material
Total questions: 24
Worksheet time: 1hrs 1mins
What determines the type of statistical analysis for comparative research?
The number of subjects in each group and the research paradigm.
The type of data collected and the number of groups.
The research design chosen by the researcher.
The number of groups, the research paradigm, and the scale of measurement.
What statistical analysis should be used when comparing the means of two groups with independent measurements?
Independent samples t-test.
Repeated measures t-test.
One-way ANOVA.
Repeated measures ANOVA.
In a study comparing the effects of three different teaching methods on student test scores, which statistical test would be most appropriate?
Independent samples t-test.
One-way ANOVA.
Repeated measures t-test.
Repeated measures ANOVA.
If a research study involves comparing the performance of participants under different conditions within the same two groups, what statistical analysis should be applied?
Independent samples t-test.
One-way ANOVA.
Repeated measures ANOVA.
Repeated measures t-test.
If a study examines the impact of various exercise routines on participants' heart rates over five periods of time, what statistical test should be employed?
Repeated measures ANOVA.
One-way ANOVA.
Repeated measures t-test.
Independent samples t-test.
T-tests and ANOVA tests are only used when using what measurement scale?
Ordinal.
Interval.
Ratio.
Nominal.
For ordinal data with two groups and repeated measures, which test should be employed?
(a)
What statistical analysis is suitable for nominal data with more than two groups and independent measures?
Sign test.
Mann-Whitney test.
Chi-square for Independence.
Kruskall-Wallis test.
For ordinal data with two groups and independent measures, which test should be employed?
Mann-Whitney test.
Kruskall-Wallis test.
Which of the following statements best describes the relationship between the t-test and the z-score?
The t-test is used to compare means of two groups when the sample size is small, while the z-score is used for large sample sizes.
The t-test and the z-score are identical statistical tests, just with different names depending on the context.
The t-test and the z-score are used interchangeably in all statistical analyses regardless of sample size or population standard deviation.
The t-test is used when the population standard deviation is unknown, while the z-score is used when the population standard deviation is known.
Equations for t-test and z-score are the same except for their respective standard deviations (t-test = population SD; z-score = sample SD).
True.
False.
What is the primary purpose of a between-subjects study?
To determine the effect size of a treatment condition.
To assess the variability within a single population.
To evaluate whether there is a difference between the means of two populations or between two treatment conditions.
To compare individual responses within a single group.
Is there a difference between population means when using a null hypothesis?
Yes.
No.
We have 15 people in our sample, what would be the degrees of freedom (df)?
(a)
What would be the correct degrees of freedom (df) if we have 20 people in one group and 30 people in the other?
(a)
Below are the steps for conducting independent samples t-test.
1. State the hypothesis and state α.
2. Identify critical region.
3. ...
4. Make decision and conclusion.
Compute test (t) statistic.
Compute z-score limit.
Compute standard error of M.
Compute distribution of sample means.
What is the tcrit for a df of 18 and an α level of 0.05 (two-tailed)?
1.734
2.101
2.093
1.330
What is the formula for the t statistic?
t=n−1M−μ
t=σMμ−M
t=σMM−μ
t=sMM−μ
What is sM?
Estimated population variance.
Estimated standard error.
Standard error of M.
Expected value of M.
Below is the data on a study about male and female writing speed, measured using the number of written words in twenty seconds. Both groups have five participants.
Male = 13, 16, 20, 15, 18.
Female = 21, 16, 10, 17, 15.
df = 8.
alpha level = 0.05 (one-tailed)
What is the corresponding tcrit?
2.262
1.833.
1.860
2.306
What is the sample mean difference?
0.6
0.65
0.7
0.75
What is the estimated standard error? (answer using numbers)
(a)
What is the t statistic?
(a)
Based on the tcrit and the computed t statistic, is the null hypothesis accepted or rejected?
Accepted.
Rejected.
Please report the results in APA style. (ngk usah nulis SDnya berapa, gantiin SD male jadi x trs female jadi y)
If we know whether there is a significant difference, do we know how big that difference is?
Yes.
No.
What techniques can be used to measure effect size?
Chi square for independence.
Wilcoxon test.
Cohen's d.
Percentage of variance.
Sign test.
Below is the data on a study about male and female writing speed, measured using the number of written words in twenty seconds. Both groups have five participants.
Male = 13, 16, 20, 15, 18.
Female = 21, 16, 10, 17, 15.
df = 8.
alpha level = 0.05 (one-tailed)
t = 0.28
M1 (Males) = 16.4
M2 (Females) = 15.8
s^2p (pooled variance) = 11.5
Please calculate effect size using Cohen's d as well as its interpretation. (ngk usah dibulat)
0.17, small effect.
0.17, medium effect.
0.6, small effect.
0.6, medium effect.
Please calculate effect size using percentage of variance. (round appropriately to two decimal numbers)
0.08
0.09
0.01
0.001
For percentage of variance:
0.01 = small effect
x = medium effect
y = large effect
x = 0.9; y = 0.20
x = 0.10; y = 0.20
x = 0.10; y = 0.25
x = 0.09; y = 0.25
