Answer:
And the best option would be:
D. (0.191 to 0.249)
Step-by-step explanation:
For this case we know that the mean is:
And the standard error is given by:
We want to construct a 68% confidence interval so then the significance level would be :
and . The confidence interval is given by:
Now we can find the critical value using the normal standard distribution and we got looking for a quantile who accumulate 0.16 of the area on each tail and we got:
And replacing we got:
And the best option would be:
D. (0.191 to 0.249)
Answer:
w=P/2−l
Step-by-step explanation:
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The answer is C
I’m 100% sure
Explanation:
If 3 is 56.5, then 4 would be:
180-56.5= 123.5
Since 3 and 4 are parallel to 7 and 8, they have the same angle sizes.
Therefore, angle 8 has the same answer as angle 4, which is 123.5. Answer is C.
Y = 1/3f + 36
85 = 1/3f + 36
where y initially was the number of state parks in California.
To check whether there is a reason to believe that the average height has been changed, we can check one right-tailed test and establish null and alternate hypotheses.
H₀ (null hypothesis): μ = 162.5
H₁ (alternate hypothesis): μ > 162.5
Since we have two samples to compare, we can use the formula below to compute for the z-score.
where Z is the z-score, Χ is the new mean of the sample, μ is the expected average value, δ is the standard deviation, and n is the sample size. Given the values we have,
Assuming that the significance level, α, is 0.05. Now that we have a z-score of 2.77, we can use the z-table to find its p-value. Thus, we have P(Z > 2.77) = .0028. Thus since our p-value is less than α, H₀ is rejected. That means that the average height of the female freshman students has changed.