Answer:
The question is unclear and incomplete.
Let me explain the degrees of freedom in statistics.
Step-by-step explanation:
Statistically, degrees of freedom which is denoted as DF is the number of independent values that can vary in an analysis without breaking any constraints. It can also be referred to as the number of independent values that a statistical analysis can estimate.
Degrees of freedom also define the probability distributions for the test statistics of various hypothesis tests.
The degree of freedom has the formula:
DF = N - 1 where N number of random variables
DF = (R - 1) x (C - 1) Where R is the number of data values and C is the number of groups
Answer:
V≈461.81cm³
Step-by-step explanation:
Answer: The figure is a regular hexagon.
Step-by-step explanation:
It’s the third one ............
Answer:
B. The value is a parameter because the career at-bats of a baseball player are a population.
Step-by-step explanation:
The hitter had a career batting average of 0.366.
This value comes from information about the population of every time he has ever gone up to bat. Therefore, it is a parameter.
If on the other hand, we take the batting average of 5 games, the 5 games will be a sample and the batting average will be a statistic.