1. Which of the following statements is correct? The mean of the sampling distribution of the means is less than the population mean. b. The mean of the sampling distribution of the means is greater than the population mean. c. The means of the samples drawn from a population are always equal to the population mean. d. The means of the samples drawn from a population may be equal, greater than or less than the population a. mean. 2. A certain population has a mean of 15.4 and a standard deviation of 5.6. if random samples of size 5 is taken from this population, which of the following statement is correct? a. The mean of the sampling distribution of the sample means is equal to 15.4. b. The mean of the sampling distribution of the sample means is less than 15.4. c. The standard deviation of the sampling distribution of the sample means is 5.6. d. The standard deviation of the sampling distribution of the sample means is 15.4. 3. How many possible of size n=3 can be drawn a population of size 12 a. 36 b. 1728 c. 144 d. 220

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13. It is the difference between the sample mean and the population mean
A. Parameters
B. Statistics
C. Sampling error
D. Random Sampling
14. The standard error of the mean is also known as
A. Population standard deviation
B. Standard deviation of sampling distribution of sample means
C. Variance of sampling distribution of sample means
D. Sample standard deviation
15. Which of the following statement is INCORRECT?
A. A probability value corresponds to an area under the normal curve.
B. In the Table of Areas Under the Normal curve, the numbers in the extreme left and across the top are z-
scores.
C. The numbers in the body of the table are called areas or probabilities
D. The z-scores to the left of mean are positive values.
Transcribed Image Text:13. It is the difference between the sample mean and the population mean A. Parameters B. Statistics C. Sampling error D. Random Sampling 14. The standard error of the mean is also known as A. Population standard deviation B. Standard deviation of sampling distribution of sample means C. Variance of sampling distribution of sample means D. Sample standard deviation 15. Which of the following statement is INCORRECT? A. A probability value corresponds to an area under the normal curve. B. In the Table of Areas Under the Normal curve, the numbers in the extreme left and across the top are z- scores. C. The numbers in the body of the table are called areas or probabilities D. The z-scores to the left of mean are positive values.
Multiple Choice: Write the letter of the correct answer on the space provided before the number. If
you think that the correct answer is not among the choices, write E. Any form of erasures means
wrong.
1. Which of the following statements is correct?
The mean of the sampling distribution of the means is less than the population mean.
b. The mean of the sampling distribution of the means is greater than the population mean.
The means of the samples drawn from a population are always equal to the population mean.
The means of the samples drawn from a population may be equal, greater than or less than the population
a.
c.
d.
mean.
2. A certain population has a mean of 15.4 and a standard deviation of 5.6. if random samples of size 5 is taken from
this population, which of the following statement is correct?
a.
The mean of the sampling distribution of the sample means is equal to 15.4.
b. The mean of the sampling distribution of the sample means is less than 15.4.
c. The standard deviation of the sampling distribution of the sample means is 5.6.
d.
The standard deviation of the sampling distribution of the sample means is 15.4.
3.
How many possible of size n=3 can be drawn a population of size 12
а. 36
b. 1728
с. 144
d. 220
4.
What is the shape of the sampling distribution of the means if random samples of size n become larger?
a. Left skewed
b. right skewed
c. normal
d. rectangular
5. If the variance of the population is 1, what is the variance of the sampling distribution of the means of size 5 drawn
from this population?
а. 2
b. 4.47
c. 1.41
d. 10
6. Which sample size give a smaller standard error of the mean?
b. 20
d. 35
a. 12
c. 25
7. What is the finite population correction factor if the size of the population is 200 and sample size is 25
c. 0.938
a. 0.979
b. 0.879
d. 0.856
For numbers 8-10, refer to the problem below. (2 points each)
The average precipitation for the first 7 months of the year is 19.32 inches with standard deviation of 2.4 inches.
Assume that the average precipitation is normally distributed.
What is the probability that a randomly selected year will have precipitation greater than 18 inches for the 7 months?
a. 0,7088
8.
b. 0.8523
c. 0.4562
d. 0.1258
What is the average precipitation of 5 randomly selected years for the first 7 months?
a. 19.32 inches
9.
b. 22.4 inches
c. 20.52 inches
d. 15.56 inches
10. What is the probability of 5 randomly selected years will have an average precipitation greater than 18 inches for
the first 7 months?
a. 0.8907
b. 0.2587
c. 0.4156
d. 0.2879
11. These are descriptive measures computed from a population.
A. Parameters
C. Sampling error
B. Statistics
D. Random Sampling
12. These are descriptive measures computed from a sample.
A. Parameters
C. Sampling error
B. Statistics
D. Random Sampling
Transcribed Image Text:Multiple Choice: Write the letter of the correct answer on the space provided before the number. If you think that the correct answer is not among the choices, write E. Any form of erasures means wrong. 1. Which of the following statements is correct? The mean of the sampling distribution of the means is less than the population mean. b. The mean of the sampling distribution of the means is greater than the population mean. The means of the samples drawn from a population are always equal to the population mean. The means of the samples drawn from a population may be equal, greater than or less than the population a. c. d. mean. 2. A certain population has a mean of 15.4 and a standard deviation of 5.6. if random samples of size 5 is taken from this population, which of the following statement is correct? a. The mean of the sampling distribution of the sample means is equal to 15.4. b. The mean of the sampling distribution of the sample means is less than 15.4. c. The standard deviation of the sampling distribution of the sample means is 5.6. d. The standard deviation of the sampling distribution of the sample means is 15.4. 3. How many possible of size n=3 can be drawn a population of size 12 а. 36 b. 1728 с. 144 d. 220 4. What is the shape of the sampling distribution of the means if random samples of size n become larger? a. Left skewed b. right skewed c. normal d. rectangular 5. If the variance of the population is 1, what is the variance of the sampling distribution of the means of size 5 drawn from this population? а. 2 b. 4.47 c. 1.41 d. 10 6. Which sample size give a smaller standard error of the mean? b. 20 d. 35 a. 12 c. 25 7. What is the finite population correction factor if the size of the population is 200 and sample size is 25 c. 0.938 a. 0.979 b. 0.879 d. 0.856 For numbers 8-10, refer to the problem below. (2 points each) The average precipitation for the first 7 months of the year is 19.32 inches with standard deviation of 2.4 inches. Assume that the average precipitation is normally distributed. What is the probability that a randomly selected year will have precipitation greater than 18 inches for the 7 months? a. 0,7088 8. b. 0.8523 c. 0.4562 d. 0.1258 What is the average precipitation of 5 randomly selected years for the first 7 months? a. 19.32 inches 9. b. 22.4 inches c. 20.52 inches d. 15.56 inches 10. What is the probability of 5 randomly selected years will have an average precipitation greater than 18 inches for the first 7 months? a. 0.8907 b. 0.2587 c. 0.4156 d. 0.2879 11. These are descriptive measures computed from a population. A. Parameters C. Sampling error B. Statistics D. Random Sampling 12. These are descriptive measures computed from a sample. A. Parameters C. Sampling error B. Statistics D. Random Sampling
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