Under what circumstances will the chi-square test for goodness of fit produce a large value for chi-square? ANSWER: to test hypotheses about the shape or proportions of a population distribution
Answer:
I agree with the statement.
Step-by-step explanation:
As long as both numbers are being multiplied by the same quantity, you will always end up with the same number.
By definition
... sec(θ) = 1/cos(θ) . . . . trig identity
... sec(θ) = 1/(9/10) . . . . substitute the given value, then simplify to ...
... sec(θ) = 10/9
Answer:
198 is the variance for the number of defective parts made each week.
Step-by-step explanation:
We are given the following in the question:
Number of parts produced each week = 20,000
Percentage of defective parts = 1%
We have to calculate the variance for the number of defective parts made each week.
We treat defective part as a success.
P(Defective part) = 1% = 0.01

Then the number defective parts follows a binomial distribution
.
Formula for variance =

Thus, 198 is the variance for the number of defective parts made each week.
Answer:
None. There can't be any dirt in it because it's a hole.
Step-by-step explanation: