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:
1/8
Step-by-step explanation:
(6(3)⁻¹(1))⁻³ n⁰=1
(6/3)⁻³
(2)⁻³
1/(2)³
1/8
Hope it helps
Answer:16.50
Step-by-step explanation: hope it helps
I think C I’m not sure but if you want me to explain I multiplied 12 x 10 and 20 x 6 and they both equal 120. So then I added 120 + 120 and got 240. Then u just added 8 because 8 was never use. Which will now look like 240 + 8 and that equal 248. :)
