How does the difference between fe and fo influence the outcome of a chi-square test?
a. The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis.
b. The larger the difference, the larger the value of chi-square and the lower the likelihood of rejecting the null hypothesis.
c. The larger the difference, the smaller the value of chi-square and the greater the likelihood of rejecting the null hypothesis.
d. The larger the difference, the smaller the value of chi-square and the lower the likelihood of rejecting the null hypothesis.
Question 2Which of the following best describes the possible values for a chi-square statistic?
a. Chi-square is always a positive whole number.
b. Chi-square is always positive but can contain fractions or decimal values.
c. Chi-square can be either positive or negative but is always a whole number.
d. Chi-square can be either positive or negative and can contain fractions or decimals.
Question 3What values are specified by the null hypothesis for a chi-square test?
a. Frequencies for a sample c. Proportions for a sample
b. Frequencies for a population d. Proportions for a population
Question 4The data for a chi-square test consist of ___________.
a. numerical scores c. ranks
b. non-numerical categories d. frequencies
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