Statistics Study Material

Statistics
Statistics
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Statistics
TEST I
Number 1
Use a paired sample t-test to determine the difference at a given alpha value then compare the
means of the two.
Number 2
The chicken dish rated 10 on the ordinal scale was the best.
Number 3
A paired sample t-test will be applied.
Number 4
An independent samples t-test will be applied.
Number 5
An independent samples t-test will be applied
Number 6
A chi-square test of association is used.
Number 7
A paired sample t-test will be applied to determine whether the difference is significant. If the
difference is significant, then compare the means.
Number 8
Pearson’s correlation test
Number 9
A chi-square test of association is used.
Number 10
Analysis of variance is the most appropriate test.
Number 11
Analysis of variance is the most appropriate test since the treatments are more than two.
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Statistics
Number 12
A chi-square test for independence is appropriate
Number 13
Pearson’s correlation test
Number 14
A chi-square test of association is used.
Number 15
An independent samples t-test will be applied.
TEST II
PROBLEM 1
Research question: Does review type affect maths score?
Null hypothesis: Review type has got no effect on math score
Statistical tool: Analysis of variance (ANOVA)
Table of results
ANOVA
Math_test
Sum of Squares df Mean Square F Sig.
Between Groups 2420.281 2 1210.141 70.236 .000
Within Groups 809.799 47 17.230
Total 3230.080 49
Table 1
Since the p-value calculated (0.00) is less than the level of significance (0.05), the null
hypothesis is rejected. It is concluded that review type has got no effect on math score.
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