Question 11 ptsStatistical significance in the Chi Square test

Question 11 pts
Statistical significance in the Chi Square test
means the population distribution (expected) is not the source of the sample (observed) data.
True
False

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Question 21 pts
In confidence intervals, the width of the interval depends only on the variation within the data set.
True
False

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Question 31 pts
A contingency table is a multiple row and multiple column table showing counts in each cell.
True
False

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Question 41 pts
The Chi Square test for independence is an extension of the goodness of fit test to see if multiple groups are distributed according to a known expected frequency distributions for each variable.
True
False

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Question 51 pts
The goodness of fit test requires the expected distribution to be equally distributed across the categories.
True
False

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Question 61 pts
The degrees of freedom for the goodness of fit test equals
k-1, where k equals the number of cells.
(number of rows-1)*(number of columns-1)
(number of rows)*(number of columns)
k, the number of cells in the table.

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Question 71 pts
The null hypothesis for the test of independence states that no correlation exists between the variables.
True
False

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Question 81 pts
The goodness of fit test null hypothesis states that the sample data does not match an expected distribution.
True
False

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Question 91 pts
For a one sample confidence interval, the interval is calculated around the estimated population or standard.
True
False

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Question 101 pts
The probability that the actual population mean will be outside of a 98% confidence interval is
1%
2%
4%
5