Exam 3 review

Question 1

A sample selected so that each item or person in the population has the same probability or chance of being included

Answer 1

Simple random sampling

Question 2

A random starting point is selected, and then every kth member of the population is selected. Used when it’s difficult to assign random numbers.

Answer 2

Systematic random sampling

Question 3

A sample where the population is divided into subgroups called strata, and a sample is randomly selected from each stratum

Answer 3

Stratified random sampling

Question 4

When a population is divided into cluster using naturally occurring geographic or other boundaries. Then, clusters are randomly selected and sample is collected by randomly selecting from each cluster.

Answer 4

Cluster sampling

Question 5

The probability distribution of all possible sample means of a given sample size

Answer 5

Sampling distribution of the sample mean

Question 6

Theorem that states all samples of a particular size are selected from any population, the sampling distribution of the sample mean is approximately a normal distribution

Answer 6

Central Limit Theorem

Question 7

The statistic, computed from sample information, that estimates a population parameter

Answer 7

Point estimate

Question 8

A range of values constructed from sample data so that the population parameter is likely to occur within that range at a specified probability. The specified probability is called the level of confidence

Answer 8

Confidence interval

Question 9

The fraction, ratio, or percent indicating the part of the sample or the population having a particular trait of interest

Answer 9

Proportion

Question 10

The margin of error adjustment needed for finite population

Answer 10

finite-population adjustment
Square root of N-n/N-1

Question 11

1. It is often not feasible to study the entire population because it is impossible to observe all the items in the population.
   True or False

Answer 11

True

Question 12

2. In stratified random sampling, a population is divided into strata using naturally occurring geographic or other boundaries. Then strata are randomly selected and a random sample is collected from each strata.
   True or False\

Answer 12

False

Question 13

3. If 40 samples of size 21 were selected from a population of 22,493, we would expect the mean of the sample means and the population mean to be close but not exactly equal.
   true or false

Answer 13

True

Question 14

4. In the sampling distribution of the sample means, the standard error of the mean will vary according to the size of the sample. As the sample size n gets larger, the variability of the sampling distribution of the means gets larger.
   True or false

Answer 14

False

Question 15

5. A point estimate is a single value used to estimate a population parameter.
   True or false

Answer 15

True

Question 16

6. The 95 percent confidence interval states that 95 percent of the sample means of a specified sample size selected from a population will lie within plus and minus 1.96 standard deviations of the hypothesized population mean.
   True or false

Answer 16

True

Question 17

7. The standard error of the mean measures the dispersion of the sampling distribution of the sample mean.
   True or False

Answer 17

True

Question 18

8. To determine the size of a sample, the standard deviation of the population must be estimated by either taking a pilot survey or by approximating it based on knowledge of the population.
   True or False

Answer 18

True

Question 19

9. The finite population correction factor is applied when the population size is known.
   True or False

Answer 19

True

Question 20

10. The population variation as measured by the standard deviation has little or no effect in determining the size of a sample selected from the population.

Answer 20

False