Answer:
a. μ
3 ± 1.8 = [1.2,4.8]
b. The correct answer is option D. No, because the sample size is large enough.
Explanation:
a. The population mean can be determined using a confidence interval which is made up of a point estimate from a given sample and the calculation error margin. Thus:
μ
±(t*s)/sqrt(n)
where:
μ
= is the 95% confidence interval estimate
x_ = mean of the sample = 3
s = standard deviation of the sample = 5.8
n = size of the sample = 41
t = the t statistic for 95% confidence and 40 (n-1) degrees of freedom = 2.021
substituting all the variable, we have:
μ
3 ± (2.021*5.8)/sqrt(41) = 3 ± 1.8 = [1.2,4.8]
b. The correct answer is option D. No, because the sample size is large enough.
Using the the Central Limit Theorem which states that regardless of the distribution shape of the underlying population, a sampling distribution of size which is ≥ 30 is normally distributed.
Answer:
0.665
Explanation:
I did the work. Just plug everything in from the formula. Look at the lesson manual.
Answer:

Explanation:
Let hockey puck is moving at constant speed v
so here we have

so time taken by the puck to strike the wall is given as

now time taken by sound to come back at the position of shooter is given as


so we know that total time is 1.9 s




now we have


Answer:

Explanation:
The equation for work is:

We can substitute the given values into the equation:
