z value based probability problem

Question 1

Convert x = 70 to z-score if Normal Distribution has mean = 50
and Standard Deviation = 10.
Answer

0.5

1.0

1.5

2.0

Question 2

Using the Appendix table for standard normal distribution find the area under the curve below z = -1.25
Answer

0.1432

0.3461

0.4574

0.1056

Question 3

Find the are under standard normal distributon curve above z = 2.00
Answer

0.4572

0.0228

0.1462

0.5431

Question 4

Use standard normal distribution table (Appendix Table II)
to find the probability that z is between -1.5 and 1.5:
P(-1.5 < z < 1.5)
Answer

0.9332

0.4268

0.8664

0.0559

Question 5

For Normal distribution with mean 50 and standard deviation 10
find probability that x will be below 35.
Answer

0.8893

0.2101

0.1020

0.0668

Question 6

Household Income has Normal Distribution with average 44,000
and Standard Deviation = 20,000. Find the probability that
Household Income is GREATER than 56,000.
Answer

0.1245

0.2743

0.4184

0.6105

Question 7

Number of students who graduate College every year is Normal Distribution
with mean = 400 and standard deviation 50. Find probability that this year
between 300 and 500 students will graduate College.

Convert each number to z value and use Appendix tables B and C.
Answer

0.52

0.65

0.95

0.81

Question 8

Sample size is 64, sample mean is 50.
Assuming the population standard deviation is 16,
construct 95.44% confidence interval for population mean.
Factor z?/2=2
Answer

from 46 to 54

from 40 to 60

from 50 to 64

from 35 to 65

Question 9

For sample mean x = 80, sample size n = 36 and sample standard deviation s = 24
find 90% confidence interval for population mean.
This is the case when population standard deviation is not known,
you should use formula on page 328 with t-value from Appendix Table IV.
Tip: For confidence level 90% ? = 1 - 0.90 = 0.10, ?/2 = 0.10/2 = 0.05
In Table IV use column t0.05 and line with df = n - 1 = 36 - 1 = 35.
Answer

from 65.48 to 95.86

from 75.44 to 82.16

from 73.24 to 86.76

from 70.18 to 88.65