The "sample" with "mean absolute deviation" indicate about a sample mean absolute deviation is being used as an estimator of the mean absolute deviation of a population
- Mean of the sample MAD=3.3
- Population MAD =6.4
<h3>What does this indicate about a sample mean absolute deviation used as an estimator of the mean absolute deviation of a population?</h3>
Generally, The MAD measures the average dispersion around the mean of a given data collection.

In conclusion, for the corresponding same to mean
the sample mean absolute deviation
7,7 ↔ 0
7,21 ↔ 7
7,22 ↔ 7.5
21,7 ↔ 7
21,21 ↔ 0
21,22 ↔ 0.5
22,7 ↔ 7.5
Therefore
- Mean of the sample MAD=3.3
- Population MAD =6.4
Read more about mean absolute deviation
brainly.com/question/10528201
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Answer:
y=-4x+3
Step-by-step explanation:
The slopes of 2 parallel lines will always be the same, so we plug in the ordered pair to find the y intercept
<u>Hope this helps :-)</u>
Using the binomial distribution, it is found that the variance of the number that pass inspection in one day is 5.7.
For each component, there are only two possible outcomes, either it passes inspection, or it does not. The probability of a component passing inspections is independent of any other component, hence, the binomial distribution is used to solve this question.
Binomial probability distribution
Probability of <u>exactly x successes on n repeated trials, with p probability</u>, and has variance given by:

In this problem:
- 95% pass final inspection, hence

- 120 components are inspected in one day, hence
.
The variance is given by:

The variance of the number that pass inspection in one day is 5.7.
To learn more about the binomial distribution, you can take a look at brainly.com/question/24863377
Answer:
3.491
Step-by-step explanation:
move the decimal over 3 places.
2 1/2 = 2.5
12 1/2 = 12.5
This means you can calculate how may times it goes in by dividing it and rounding the number down:
12.5 / 2.5 = 5
*5 can not be rounded down so it stays the same
This means that 2 1/2 goes into 12 1/2 5 times. Hope this helps! :)