0
Still curious? Ask our experts.
Chat with our AI personalities
Devin
Blake
ViviAdd your answer:
Earn +20 pts
Is the chi square analysis a statistical test?
It can be, but it is also a statistical distribution in its own right - on which the test is based.
What is the meaning of piegraph?
A Piegraph is also known as a pie chart or a pie diagram. It is a cylindrical diagram which is divided into segment, each of the segments is proportional in size to the statistical quantity that it represents.
What values are specified by the null hypothesis for the chi square test for goodness or fit?
The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.The value specified is usually the maximum value that the test statistic can take for a given level of statistical significance when the null hypothesis is true. This value will depend on the parameter of the chi-square distribution which is also known as its degrees of freedom.
What are the example of modifier complement?
example modifier and complement
What is one-to-one individual matching?
In the statistical analysis of observational data, propensity score matching (PSM) is also known as one to one individual matching. It is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
