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).
4x+12y=48
12y=48-4x
Y=4-3x
Steps
1.subtract 4x to the other side
2.divide 12 to all numbers
Answer is : y=4-3x
Answer:
all three sampling distributions appear to follow the normal distribution
Step-by-step explanation:
Sampling distribtuions follow a normal distribution.
Exact form: 3336711069/389
Decimal form: 8577663.42 (rounded)
Mixed number form: 8577663 & 162/389