Chi–Squares
In conducting a chi-square test for goodness of fit using a two-way table, why is considering the variability around the expected counts crucial?
A survey was conducted to examine the preference for different smartphone brands among three age groups: teenagers (13-19 years), young adults (20-30 years), and adults (31-50 years). 50 teenagers preferred Apple, 30 teenagers preferred Samsung, 60 young adults preferred Apple, 40 young adults preferred Samsung, 40 adu...
If a researcher uses expected counts to assess homogeneity across groups in a two-way table but observes some expected counts below 5, how might this affect their conclusions?
When assessing the independence of two categorical variables in a large sample size contingency table, what is the implication if most of the standardized residuals are greater than 2?
When should we use a chi-squared test for homogeneity?
What assumption about variability must hold true when calculating expected frequencies in a two-way table for them to be valid?
Which measurement would NOT be used to examine variability among expected counts within cells?
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When researchers divide the population into groups based on characteristics and then randomly select from each group, they are using which method?
In a two-way table, what value is used to calculate the expected count for a cell?
Researchers investigated the relationship between gender (male and female) and hair color (blonde and brunette). There are 30 male blondes, 45 male brunettes, 20 female blondes, and 35 female brunettes. What is the table total?