Answer:
59.87% probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent
Step-by-step explanation:
For each employee, there are only two possible outcomes. Either they are absent, or they are not. The probability of an employee being absent is independent from other employees. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
5% of the production employees at Midland States Steel are absent from work.
This means that 
What is the probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent
This is P(X = 0) when n = 10. So


59.87% probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent
Answer:
Inter-quartile range
Step-by-step explanation:
When you have the quartile, you can use the IQR (interquartile range) to measure the dispersion.
IQR = Q3 - Q1
Movies: IQR = 195 - 162 = 33
Basketball: IQR = 225 - 170 = 55
Attendance at Basketball is more dispersed/spread out as compared to attendance at Movies
1. 4 times 6
2. 8 divided by 2
3. 4 squared 2
Answer:
Interference for regression
Explanation:
Interference for regression is the most suitable statistical test to use to find out if there is any link between number of missed classes and the final test scores.
Because those two variables are related and student test score can be predicted using number of classes that are missed.
Simple...
when they ask for the rate of change they ask for
slope -->>
Using

to find the rate of change for (-3,0) and (-2,-5)



m=-5
Thus, your answer.