In a chi-square test of a contingency table, the value of the test statistic was 2 = 12.678, and the ...

In a chi-square test of a contingency table, the value of the test statistic was 2 = 12.678, and the critical value at = 0.025 was 14.4494. Thus:

A) we don't have enough evidence to accept or reject the null hypothesis at = 0.025.
B) we should decrease the level of significance in order to reject the null hypothesis.
C) we fail to reject the null hypothesis at = 0.025.
D) we reject the null hypothesis at = 0.025.

Q. 2

A perfect straight line sloping downward would produce a covariance value of -1.

Indicate whether the statement is true or false

Q. 3

Interpret the 95 confidence level for the population mean daily spending.

What will be an ideal response?

Q. 4

The probability of the intersection of two events cannot be greater than either of their individual probabilities.

Indicate whether the statement is true or false

Q. 5

A multiple regression model involves 5 independent variables and a sample of 10 data points. If we want to test the validity of the model at the 5 significance level, the critical value is:

A) 6.26
B) 3.33
C) 9.36
D) 4.24

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In a chi-square test of a contingency table, the value of the test statistic was 2 = 12.678, and the ...

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