Answer:
Step-by-step explanation:
Probability = 4/46 = 2/23
(2/23) *100 = 200/23 = 8.69% = 8.7%
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).
Answer:
64 square inches
Step-by-step explanation:
im not 100% sure but i think its right
Answer:
94.7%
Step-by-step explanation:
If it is only winning or losing cards, then you can subtract 5.3 from 100 because probability is out of 100%
100-5.3 = 94.7
10c-15+3-8c-6+5c
7c-18 i think so