Imagine a college where say 2000 students are taking an intro stat course. Imagine from historical data, that student scores of a final exam can be viewed as approximately normal with a mean of 70 and a sd of 10. Suppose an A grade is considered to be 90 or higher. Now imagine a SRS of 100 students is selected from the group of 2000 students, where we then compute the sample mean of these 100 students.

maybe showing the graph would

step-by-step explanation:

-387129 iq

3,750 deer

step-by-step explanation:

1,500 is 15 times larger than 100

lets make 250 15 times larger.

3750 deer

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;