1. (T/F) The 𝜙 coefficient measures the association between two categorical variables in a 2 x 2 table and Crame

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answerhappygod
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1. (T/F) The 𝜙 coefficient measures the association between two categorical variables in a 2 x 2 table and Crame

Post by answerhappygod »

1. (T/F) The πœ™ coefficient measures the
association between two categorical variables in a 2 x 2 table and
Cramer's V measures the association between two categorical
variables in larger than 2 x 2 tables.
2.(T/F)
The Goodman-Kruskal 𝛾γ statistic measures the
directional relationship between the two ordinal categorical
variables.
3.(Higher/Lower)
A positive value for the Goodman-Kruskal 𝛾γ statistic
means that higher categories on one variable are associated with
[Higher/Lower] categories on the other variable and lower
categories on one variable are associated with
[Higher/Lower] categories on the other variable.
4. [T/F]
Cells in the same row or in the same column can be either a
concordant or discordant pair.
5. [T/F]
The estimate 𝑝̂ π‘π‘œπ‘œπ‘™π‘’π‘‘ is calculated by pooling the
successes from both groups to estimate the common probability of
success from the null hypothesis.
6.[CHOOSE ONCE]
In the doctor's survey study example, what distribution is used
to obtain the p-value for the hypothesis test for the difference of
the two population proportions?
t
F
z
chi-square
7. [T/F]
The pooled estimate 𝑝̂ π‘π‘œπ‘œπ‘™π‘’π‘‘ is used in calculating
the confidence interval for the difference in the two population
proportions.
8. [T/F]
When calculating the sample size for use in the confidence
interval for the difference in the two proportions, we need to
either provide an estimate of the two sample proportions or use the
value of 0.5 as the worst-case scenario.
9. [CHOOSE ONCE]
For testing the equality of two or multiple proportions or
multiple multinomial variables, the estimate expected value for
each cell in the contingency table assuming the null hypothesis is
true can be calculated as:
(row total * cell number)/table total
(row total * column total)/table total
(cell number * column total)/table total
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