Difference between a sample mean and the population mean

Reference no: EM1318068

1. Since a normal curve is symmetrical, we know that ________ of the cases for scores on any variable lie between the mean and plus or minus ONE standard deviation.

a. 33.3%
b. 50%
c. 65%
d. 95%

2. Since a normal curve is symmetrical, we know that _________ of the cases for scores on any variable lie between the mean and plus or minus TWO (2) standard deviations.

a. 33.3%
b. 50%
c. 65%
d. 95%

3. To estimate the mean of the population from sample information, we need to calculate the standard deviation of the distribution of the sample means around the population mean. This is done by dividing the standard deviation of our sample by the square root of N, and is called the:

a. Central limit
b. Integral calculus
c. Standard error
d. Z score

4. What is it called when all the items in a population have a chance of being selected in a sample?

a. probability sampling
b. z-score
c. sampling error
d. non-probability sampling

5. What is it called when all the items in a population have the same or an equal chance of being selected in a sample?

a. nonprobability sampling
b. random sampling
c. judgement sampling
d. cluster sampling
none of the above

6. What is the difference between a sample mean and the population mean called?

a. standard error of the mean
b. sampling error
c. interval estimate
d. point estimate
none of the above

7. Suppose we select every 5th invoice in a file. What type of sampling is this?

a. random
b. cluster
c. stratified
d. systematic
e. none of the above

Reference no: EM1318068

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