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
Step-by-step explanation:
the domain of the function is the set of all real numbers
{x|x ∈ R}
Answer:
The top of the pole is approximately <u>13 feet</u> high up the tree.
Step-by-step explanation:
The diagram for the given scenario is shown below.
From triangle ABC, A is the top of pole and B is the bottom of pole.
AC is the height of tree. BC is the distance of the bottom of pole from the tree.
Given:
AB = 15 ft, BC = 8 ft
To find:
AC = ?
Since triangle ABC is right angled triangle, we apply Pythagoras Theorem to find the unknown side. So,
Therefore, the height of the tree is approximately 13 ft.
The answer to this question is 49
add the answers and I can help you better
