Answer:
Independent Sampling
Step-by-step explanation:
There are two scenarios for independent sampling .
Testing the mean we get the differences between samples from each population. When both samples are randomly inferences about the populations. can get.
Independent sampling are sample that are selected randomly. Observation does not depend upon value.Many analysis assume that sample are independent.
In this statement 90 dash are divides into two groups Group 1 and Group 2 . Both are standardized that mean both are randomly selected. Means are observed. Observation doesn't depend upon value. So this style of sampling is independent Sample.
The median of the data would be (20+25)/2, which is 45/2 = 22.5.
The first quartile (Q1), the middle number between the smallest number and the median of the data set, is 9.
The second quartile (Q2) is the median of the data. (22.5)
The third quartile (Q3) the middle value between the median and the highest value of the data, is 35.
Hope this helped!
4^6*4^3= 4^9= 262144
Final answer: 4^9
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Answer:
a ≤ 2
Step-by-step explanation:
Simplify both sides of the inequality
42a + 48 ≤ 132
Subtract 48 from both sides
42a + 48 − 48 ≤ 132 − 48
42a ≤ 84
Divide both sides by 42
42a/42 ≤ 84/42
a ≤ 2
