Chi-Squared Procedures

These flashcards cover key concepts related to Chi-Squared procedures and statistical testing as outlined in the lecture notes.

In the Chi-Squared Goodness of Fit Test, the null hypothesis (H0) states that __.

The specified distribution of the variable is correct.

In the Chi-Squared formula x² = Σ (O - E)²/E, O represents __.

Observed frequencies.

In the Chi-Squared formula x² = Σ (O - E)²/E, E represents __.

Expected frequencies.

The conditions for the Chi-Squared Goodness of Fit Test include that all expected counts must be __.

Greater than 5.

In the Chi Squared distribution graph, the mode is represented as __.

d.f. - 2.

A requirement for Chi-Squared tests is that individual observations must be __.

Independent.

A test significance level commonly used in hypothesis testing is __.

0.05.

If the test statistic P(X² > test statistic) results in a conclusion that we have evidence the distribution is _.

not correct.

According to the study involving NHL players' birthdays, the expected distribution of players' birthdays across the four quarters is __.

Uniform.

In a statistical study involving moose, researchers expected the number of moose observed in a habitat type to be proportional to __.

The amount of acreage of that type of habitat.