Question

HELLPP!!

Which of the following assumptions are necessary to conduct a chi-squared goodness of fit test?

I. No expected counts <1.
II. Sample size >30.
III. No more than 20% of the counts are <5.

Answer 1

i hope this will help...........Assumption #1: One categorical variable (i.e., the variable can be dichotomous, nominal or ordinal). Examples of dichotomous variables include gender (2 groups: male or female), treatment type (2 groups: medication or no medication), educational level (2 groups: undergraduate or postgraduate) and religious (2 groups: yes or no). Examples of nominal variables include ethnicity (e.g., 3 groups: Caucasian, African American and Hispanic), and profession (e.g., 5 groups: surgeon, doctor, nurse, dentist, therapist). Examples of ordinal variables include Likert scales (e.g., a 7-point scale from "strongly agree" through to "strongly disagree"), amongst other ways of ranking categories (e.g., a 5-point scale for measuring job satisfaction, ranging from "most satisfied" to "least satisfied"; a 4-point scale determining how easy it was to navigate a new website, ranging from "very easy" to "very difficult; or a 3-point scale explaining how much a customer liked a product, ranging from "Not very much", to "It is OK", to "Yes, a lot"), and physical activity level (e.g., 4 groups: sedentary, low, moderate and high).

Answer 2

not really no. That didn't make any sense at all

Answer 3

@jtvatsim @kropot72 @amistre64