can I have solutions, please
- A random sample of 144 observations has a mean of 20, a median
of 21, and a mode of 22. The population standard deviation is known
to equal 4.8. The 95.44% confidence interval for the population
mean is
a. 15.2 to 24.8
b. 19.200 to 20.800
c. 19.216 to 20.784
d. 21.2 to 22.8
- When the level of confidence decreases, the margin of error
- stays the same
- becomes smaller
- becomes larger
- becomes smaller or larger, depending on the sample size
- A random sample of 64 students at a university showed an
average age of 25 years and a sample standard deviation of 2 years.
The 98% confidence interval for the true average age of all
students in the university is a. 20.5 to 26.5
b. 24.4 to 25.6
c. 23.0 to 27.0
d. 20.0 to 30.0
- A random sample of 49 statistics examinations was taken. The
average score, in the sample, was 84 with a variance of 12.25. The
95% confidence interval for the average examination score of the
population of the examinations is
a. 76.00 to 84.00
b. 77.40 to 86.60
c. 83.00 to 85.00
d. 68.00 to 100.00
- The sample size needed to provide a margin of error of 2 or
less with a .95 probability when the population standard deviation
equals 11 is
- 10
- 11.
- 116
- 117
- It is known that the population variance equals 484. With a
0.95 probability, the sample size that needs to be taken if the
desired margin of error is 5 or less is
- 25
- 74
- 189
- 75
- When constructing a confidence interval for the population mean
and the standard deviation of the sample is used, the degrees of
freedom for the t distribution equals
- n-1
- n
- 29
- 30
- The following random sample from a population whose values were
normally distributed was collected. 10
8 11
11
The 95% confidence
interval for μ is a. 8.52 to 10.98
b. 7.75 to 12.25
c. 9.75 to 10.75
d. 8.00 to 10.00
- The following random sample from a population whose values were
normally distributed was collected.
10
12
18
16
The 80% confidence
interval for μ is a. 12.054 to 15.946
b. 10.108 to 17.892
c. 10.321 to 17.679
d. 11.009 to 16.991
- Which of the following best describes the form of the sampling
distribution of the sample proportion?
- When standardized, it is exactly the standard normal
distribution.
- When standardized, it is the t distribution.
- It is approximately normal as long as n ≥ 30.
- It is approximately normal as long as np ≥ 5 and n(1p) ≥
5.