In: Statistics and Probability
QUESTION PART A: Assume that a sample is used to estimate a
population mean μμ. Find the 80% confidence interval for a sample
of size 882 with a mean of 51.3 and a standard deviation of 17.1.
Enter your answer as a tri-linear inequality accurate to one
decimal place (because the sample statistics are reported accurate
to one decimal place).
_____< μ <______
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
QUESTION PART B: Giving a test to a group of students, the
grades and gender are summarized below
A | B | C | Total | |
Male | 8 | 14 | 16 | 38 |
Female | 3 | 19 | 15 | 37 |
Total | 11 | 33 | 31 | 75 |
Let pp represent the percentage of all male students who would
receive a grade of A on this test. Use a 98% confidence interval to
estimate p to three decimal places.
Enter your answer as a tri-linear inequality using decimals (not
percents).
_____ < p <_____
A)
sample mean 'x̄= | 51.30 |
sample size n= | 882.00 |
std deviation σ= | 17.100 |
std errror ='σx=σ/√n= | 0.5758 |
for 80 % CI value of z= | 1.282 | |
margin of error E=z*std error = | 0.74 | |
lower bound=sample mean-E= | 50.562 | |
Upper bound=sample mean+E= | 52.038 |
80% confidence interval for the sample : 50.6 < μ < 52.0
B)
sample success x = | 8 | |
sample size n= | 38 | |
sample proportion p̂ =x/n= | 0.2105 | |
std error se= √(p*(1-p)/n) = | 0.0661 | |
for 98 % CI value of z= | 2.326 | |
margin of error E=z*std error = | 0.1538 | |
lower bound=p̂ -E = | 0.0567 | |
Upper bound=p̂ +E = | 0.3643 |
98% confidence interval to estimate p = 0.0567 < p < 0.3643