Respuesta :
Answer:
D. All of these alternatives are correct.
Explanation:
Chi square distribution is the cumulative probablity distribution. It provide probablity of every possible value. Chi square distribution is depend on degree of freedom and degree of freedom is calculated by subtracting 1 from the number of category from the data collected. It is used to check goodness of fit of an observed data, the independence of two categorical variables, it is also used in hypothesis testing and confidence interval for population variance.
Answer:
An important application of the chi-square distribution is All of these alternatives are correct.
Explanation:
In probability theory and statistics, the chi-squared combination with k degrees of independence is the combination of a whole of the squares of k autonomous conventional normal random variables.
Application of the chi-square distribution:
- The chi-square can be practiced to create inferences about the population variance, σ², utilizing the sample variance S².
- It can be an efficacious tool when working theory tests or generating confidence intervals of the population variance.
- This lesson describes how to administer a chi-square honesty of fit test.
- It is utilized to discover whether sample data are consistent with a hypothesized relationships.
- It used as the Chi-Square Test of Independence can only compare categorical variables.
Thus, we can say the above statements about chi-square distributions are correct.
To learn more about chi-square distribution, refer:
- https://brainly.com/question/17031122
- https://brainly.com/question/17205403
