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The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.
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The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
It depends on the type of data you are analyzing. For research, common methods for analyzing data are t-tests, ANOVA, MANOVA, and chi-square.
the color and temperature.
Chi-square is a distribution used to analyze the standard deviation of two samples. A t-distribution on the other hand, is used to compare the means of two samples.
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
yes it is
They are applicable in different circumstances.
It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
Singapore is a place, Ho Chi Minh was a man.