The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to check whether the sample data is representative of the full population or is it biased.
The degrees of freedom for the chi-square goodness of fit is calculated by using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns. The following conditions are the conditions required: The sampling method should be simple random sampling. The variable being observed is categorical. The expected value of the number of sample observations for each variable is at least 5.
Therefore, The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
To learn more about goodness of fit refer here
brainly.com/question/23475357
#SPJ4
None of the above I believe
Your answer is 20
As isosceles triangle has two angles similar
And sum of all angles is 180,
so
80 + 80 = 160
and
180 - 160 is
20
So ur answer is 20
♥
<span>Points A and B are midpoints of the sides of triangle QRS
so
QA = SA = 4m
answer
</span><span>4 m</span>
y ≥ 1x+1
y ≥ x+1
Two points that are on the graph of y ≥ x+1 are (0,1)and (1,2).
Use the equation for finding the slope.
=
=1
The slope is 1.
