The following statements about the chi square test are correct. (Read each statement carefully. Select all of the statements below that are true (that you agree with). Leave any statements that are false (that you do not agree with) un- selected.) The null hypothesis infers that chance alone cannot account for the differences between observed and expected data. The null hypothesis infers that observed values are close enough to expected values. The lower the overall chi square value, the more likely the null hypothesis will be accepted. The higher the probability range associated with the overall chi square value, the more likely the null hypothesis will be rejected.

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