BADM2233 BusinessAnalytics SmartBook CH3
1. The population consists of a portion of the overall group being studied.: -
False
2. An is a conclusion about the characteristics of a population based on the sample
characteristics: inference
3. Just as a parameter is a characteristic of a population, a is a charac-
teristic of a sample.: statistic
4. To ensure that you have an adequate representation of every group in the sample, use which
of the following?: stratified random sampling
5. When sampling analyst purposefully selects portions of the population that are likely to
provide answers that are in line with the analyst's beliefs or hypothesis, it is called which of the
following biases?: selection bias
6. A is a group of phenomena that have something in common.: popula- tion
7. A distribution is a statistical property that describes the possible values of random
variables and the likelihood that a random variable will be within a given range.: probability
8. A is simply a subset of a population.: sample
9. What does an analyst use to make inferences about a population?: a sample statistic
10.The sample arithmetic is the sum of all data points divided by the number of
observations.: mean
11.When every observation in the population has an equal chance of being selected in the
sample, it is called which of the following?: simple random sampling
12. describes the thickness of the tails of a distribution, specifying whether values are
more clustered in the peak of a distribution or in the tails: kurtosis
13. bias is the partiality (or bias) that results when respondents differ from non-
respondents.: Nonresponse
14.A distribution shows all possible values for a variable and how often they could
1/2
1. The population consists of a portion of the overall group being studied.: -
False
2. An is a conclusion about the characteristics of a population based on the sample
characteristics: inference
3. Just as a parameter is a characteristic of a population, a is a charac-
teristic of a sample.: statistic
4. To ensure that you have an adequate representation of every group in the sample, use which
of the following?: stratified random sampling
5. When sampling analyst purposefully selects portions of the population that are likely to
provide answers that are in line with the analyst's beliefs or hypothesis, it is called which of the
following biases?: selection bias
6. A is a group of phenomena that have something in common.: popula- tion
7. A distribution is a statistical property that describes the possible values of random
variables and the likelihood that a random variable will be within a given range.: probability
8. A is simply a subset of a population.: sample
9. What does an analyst use to make inferences about a population?: a sample statistic
10.The sample arithmetic is the sum of all data points divided by the number of
observations.: mean
11.When every observation in the population has an equal chance of being selected in the
sample, it is called which of the following?: simple random sampling
12. describes the thickness of the tails of a distribution, specifying whether values are
more clustered in the peak of a distribution or in the tails: kurtosis
13. bias is the partiality (or bias) that results when respondents differ from non-
respondents.: Nonresponse
14.A distribution shows all possible values for a variable and how often they could
1/2
