Question

A population of unknown shape has a mean of 75. You select a sample of 20. The standard deviation of the sample is 5. Compute the probability the sample mean Between 76 and 77.

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A normal population has a mean of 77 and a standard deviation of
5. You select a sample of 48.
Compute the probability that the sample mean is: (Round
your z values to 2 decimal places and final answers to 4
decimal places.)
A. less than 76
Probability:
B. Between 76 and 78
Probability:
C. Between 78 and 79
Probability:
D. Greater than 79
Probability:

The mean of a population is 75 and the standard deviation is 14.
The shape of the population is unknown. Determine the probability
of each of the following occurring from this population.
a.A random sample of size 34 yielding a sample
mean of 80 or more
b.A random sample of size 120 yielding a sample
mean of between 72 and 78
c.A random sample of size 220 yielding a sample
mean of less than 75.3

1. To estimate the mean of a population with unknown
distribution shape and unknown standard deviation, we take a random
sample of size 64. The sample mean is 22.3 and the sample standard
deviation is 8.8. If we wish to compute a 92% confidence interval
for the population mean, what will be the t multiplier? (Hint: Use
either a Probability Distribution Graph or the Calculator from
Minitab.)

The mean of a population is 76 and the standard deviation is 13.
The shape of the population is unknown. Determine the probability
of each of the following occurring from this population.
a. A random sample of size 36 yielding a sample
mean of 78 or more
b. A random sample of size 120 yielding a sample
mean of between 75 and 79
c. A random sample of size 219 yielding a sample
mean of less than 76.7
(Round all...

A normal population has a mean of 78 and a standard deviation of
9. You select a sample of 57. Use Appendix B.1 for the
z-values.
Compute the probability that the sample mean is: (Round
the z-values to 2 decimal places and
the final answers to 4 decimal
places.)
a. Less than 77.
Probability
b. Between 77 and 79.
Probability
c. Between 79 and 81.
Probability
d. Greater than 81.
Probability

A normal population has a mean of 77 and a standard deviation of
8. You select a sample of 36. Use Appendix B.1 for the z-values.
Compute the probability that the sample mean is: (Round the
z-values to 2 decimal places and the final answers to 4 decimal
places.) a. Less than 74. Probability b. Between 74 and 80.
Probability c. Between 80 and 81. Probability d. Greater than 81.
Probability

A normal population has a mean of 61 and a standard deviation of
4. You select a sample of 38.
Compute the probability that the sample mean is: (Round
your z values to 2 decimal places and final answers to 4
decimal places.)
Less than 60.
Between 60 and 62.
Between 62 and 63.
Greater than 63.

A normal population has a mean of 89 and a standard deviation of
8. You select a sample of 35. Use Appendix B.1 for the z-values.
Compute the probability that the sample mean is: (Round the
z-values to 2 decimal places and the final answers to 4 decimal
places.)
a. Less than 87.
Probability
b. Between 87 and 91
Probability
c. Between 91 and 92.
Probability
d. Greater than 92.
Probability

A population has a mean of 75 and a standard deviation of 32.
Suppose a random sample size of 80 will be taken.
1. What are the expected value and the standard deviation of the
sample mean x ̅?
2. Describe the probability distribution to x ̅. Draw a graph of
this probability distribution of x ̅ with its mean and standard
deviation.
3. What is the probability that the sample mean is greater than
85? What is the probability...

A population, with an unknown distribution, has a mean of 80 and
a standard deviation of 7. For a sample of 49, the probability that
the sample mean will be larger than 82 is
Group of answer choices
About .516
About 0.0228
About 0.9772
About 0.484

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