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As nonparametric tests, the chi-square tests state general hypotheses about the entire population without any reference to a specific population parameter. The ...
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Psychology 400- Psychological Statistics Spring 2015- Chi Square Practice Dr. Hitlan
As nonparametric tests, the chi-square tests state general hypotheses about the entire population without any reference to a specific population parameter. The data for a chi-square test consist of frequencies, but the data for a t test or ANOVA consist of scores that can be added, multiplied, squared, etc. Finally, the chi-square tests do not require any assumptions about population parameters. The t tests and ANOVA require normal populations and homogeneity of variance for tests with independent-measures designs.
Coffee Pizza Hamburger 53 37 30
Do the data indicate any significant preferences among the three types of food service?
The null hypothesis states that the three food venders are equally preferred in the population ( p = 1/3 for each).
The expected frequency is 40 for each category and chi-squared = 6.95. With df = 2, the critical value is 5.99. Reject the null hypothesis, there are significant preferences.
Birth Position 1st 2nd 3rd
Outgoing 13 31 16 Reserved 17 19 4
The null hypothesis states that there is no relation between birth order and personality - the two variables are independent. With df = 2, the critical value for this test is 5.99. The expected frequencies are as follows:
Birth Position 1st 2nd 3rd
Outgoing 18 30 12
Reserved 12 20 8
For these data, the chi-square statistic is 6.89. Reject H 0 and conclude that there is a significant relation between personality and birth order.