Answer:
a. 0.50
Step-by-step explanation:
The standard error of the mean is the standard deviation of the population divided by the square root of the sample size.
In this problem, we have that:
Standard deviation of the population: 6 hours
Sample size: 144
Square root of 144 is 12.
So the standard error of the sample mean is 6/12 = 0.5.
Answer:
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
Step-by-step explanation:
We have a sample of executives, of size n=160, and the proportion that prefer trucks is 26%.
We have to calculate a 95% confidence interval for the proportion.
The sample proportion is p=0.26.
The standard error of the proportion is:
The critical z-value for a 95% confidence interval is z=1.96.
The margin of error (MOE) can be calculated as:

Then, the lower and upper bounds of the confidence interval are:

The 95% confidence interval for the population proportion is (0.192, 0.328).
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
The number 2*2*2*4*5 is not in its prime factorization because not all the factors are prime numbers. A prime number is a number that has no other factors except for 1 and itself.
4 is not a prime number, since it can be divided by 2. The number can be broken down into its prime factors by dividing by 2, and it becomes 2*2.
Therefore, the factorization of the number 2*2*2*4*5 can be broken down to 2*2*2*2*2*5.
If the number of trials is changed the number of experimental outcomes also changes
The third table
Explanation:
6/4 = 1.5 , 9/6 = 1.5 , 12/8 = 1.5