Answer:
The 95% confidence interval estimate for the population mean force is (1691, 1755).
Step-by-step explanation:
According to the Central Limit Theorem if we have an unknown population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample mean will be approximately normally.
The sample selected here is <em>n</em> = 30.
Thus, the sampling distribution of the sample mean will be normal.
Compute the sample mean and standard deviation as follows:

Construct a 95% confidence interval estimate for the population mean force as follows:


Thus, the 95% confidence interval estimate for the population mean force is (1691, 1755).
V = s³
v = (1.2s)³
v = 1.728s³
1.728 * 100% = 172.8% increase
Answer:
Hope this solution helps you
(a+b)(a-b)=a^2 - b^2
so
<span>(4x-7)(4x+7) = 16x^2 - 49
answer
</span>16x^2 - 49