When we make inferences about the difference of two independent population proportions, we assume that it is a random sample, and the number of successes and failures are at least 15 in each group.
Two independent proportions tests involve comparing the proportions of two unrelated datasets.
For these two datasets to be regarded as an independent population, the following must be true or assumed to be true
- The datasets must represent a random sample
- Each dataset must contain at least 15 successes and failures
Hence, the above highlights are the assumptions of two independent population proportions.
To learn more about independent populations from the given link
brainly.com/question/23989150
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Answer:
C-D = <u>6</u>
A-B = <u>3.25</u>
D = <u>118</u>
Step-by-step explanation:
C-D = 6 because the line is the same as B-C
A-B = 3.25 because the line is the same as A-D
D = 118 because the angle of B is vertically opposite to D
Answer:
x =25
Step-by-step explanation:
This is an isosceles triangle because RS = ST
that means <r = <STR
4x-70 = STR
<STR + <STU = 180 straight line
subtract < STU from each side
<STR = 180 -<STU
we know angle stu = 6x
<STR = 180 -6x
we can substitute this into 4x-70 = STR
4x-70 = 180 -6x
add 6x to each side
4x+6x -70 = 180 -6x+6x
10x -70 = 180
add 70 to each side
10x-70+70 = 180+70
10x=250
divide by 10
10x/10 = 250/10
x =25
We are given a boxplot that contains some data. We will use the information below to analyze the given question.
STEP 1: Median
From the image above, we can see that the median represents the line drawn inside the box
This gives;
STEP 2: Interquartile range
The interquartile range is the difference between the third quartile and the first quartile.
