Answer:
False
Step-by-step explanation:
This is false because a population represents all and not some. A population is the collection of all outcomes, responses, measurements, or counts that are of interest. It is not a collection of 'some' outcomes. It is a collection of 'all' outcomes.
A population data set is a set which contains all the items or elements of a specified group or data set. It is a complete list of all the possible data values.
The sample of a population are drawn out of a population. They are A subset of a population.
Answer:
same
Step-by-step explanation:
hope this helps
Answer:
A
Step-by-step explanation:
Answer:
Claim :The proportion, p, of full-term babies born in their hospital that weigh more than 7 pounds is 36%.
n = 170
x = 56
We will use one sample proportion test
The proportion, p, of full-term babies born in their hospital that weigh more than 7 pounds is 36%.
Formula of test statistic =
=−0.8311
Now refer the p value from the z table
P-Value is .202987 (Calculated by online calculator)
Level of significance α = 0.05
Since p value < α
So we reject the null hypothesis .
Hence the claim is true