Answer:
b. between 6 and 7
Step-by-step explanation:
As
36<42<49
√36<√42<√49
6<√42<7
So it is between 6 and 7
Remember
√(mn)=(√m)(√n)
and
√-1=i
√-25=(√-1)(√25)=(i)(5)
aswer is +/-5i
Answer:
False.
Step-by-step explanation:
If M(6, -2) were reflected across the line x = -3, then M' would be (0, -2) making the statement true.
Answer:
Quota sampling
Step-by-step explanation:
Quota sampling is a type of sampling method in which a representative data is collected from a group. It is a non probability based sampling method, a type of stratified sampling. Quota sampling is required when researchers are working with limited time and are without a sampling frame. Quota sampling method helps to determine the characteristics of a subgroup under research. It is an highly accurate method of sampling.
Answer:
If the scientist’s estimate about the number of fish in the lake is correct, then it is 44% likely to get 20 perch out of 50 with a tag.
Step-by-step explanation:
Let p be the proportion of tagged white perch in the Midwestern lake.
Scientist's claim is that p=
Let's test this hypothesis as:
p=0.30
p≠0.30
P-value of the test statistic will give the likelihood of getting 20 perch out of 50 with a tag if the scientist's estimate (
) is true.
Test statistic can be calculated using the equation
where
- p(s) is the sample proportion of white perch (
)
- p is the proportion assumed under null hypothesis. (0.30)
- N is the sample size (50)
Then
≈ -0.77
Two tailed p-value of the test statistic is ≈ 0.44
Thus if the scientist’s estimate about the number of fish in the lake is correct, (p=0.30) then it is 44% likely to get 20 perch out of 50 with a tag.