Q1) The type of test that is non parametric and involves testing the characteris
ID: 3322611 • Letter: Q
Question
Q1) The type of test that is non parametric and involves testing the characteristics of observed data compared to actual data is
A Hypothesis Test on Sample Means
A Hypothesis Test on Proportions
A Chi-Square Analysis
A Test Involving the T distribution
None of the Above
Q2)
The value of the summation of (observed - expected )^2 / expected is referred to as
A t distribution
A calculated Z value
Standard Error Term
Chi-Square Value
Chi-Square Test Statistic
Q3)
In the Chi-Square, Goodness of Fit Test, we accept the null hypothesis if
The P value is less than alpha
If the Chi-Square value is less than the Chi-Square Test Statistic
If the calculated t value falls between the critical t values
If the calculated t value is less than the critical t value
None of the Above
A Hypothesis Test on Sample Means
A Hypothesis Test on Proportions
A Chi-Square Analysis
A Test Involving the T distribution
None of the Above
Explanation / Answer
Answer - 1: In chi square goodness of fit, we compare actual and observed outcomes. Hence,
Option C is correct.
Answer - 2: Chi sqaure test statistic; Option E is correct.
Answer - 3: We accept the null hypothesis if the Chi-Square value is less than the Chi-Square Test Statistic.
Option B is correct.
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