Sampling Experiment Quiz

PDF page 55: average also called mean; a number that describes the central tendency of the data blinding not telling participants which treatment a subject is receiving categorical variable variables that take on values that are names or labels cluster sampling a method for selecting a random sample and dividing the population into groups (clusters); use simple random sampling to select a set of clusters; every individual in the chosen clusters is included in the sample continuous random variable a random variable (RV) whose outcomes are measured; the height of trees in the forest is a continuous RV

PDF page 52: In this lab, you will be asked to pick several random samples of restaurants. In each case, describe your procedure briefly, including how you might have used the random number generator, and then list the restaurants in the sample you obtained. NOTE The following section contains restaurants stratified by city into columns and grouped horizontally by entree cost (clusters).

PDF page 52: In this lab, you will be asked to pick several random samples of restaurants. In each case, describe your procedure briefly, including how you might have used the random number generator, and then list the restaurants in the sample you obtained. NOTE The following section contains restaurants stratified by city into columns and grouped horizontally by entree cost (clusters).

PDF page 56: sampling with replacement once a member of the population is selected for inclusion in a sample, that member is returned to the population for the selection of the next individual sampling without replacement a member of the population may be chosen for inclusion in a sample only once; if chosen, the member is not returned to the population before the next selection simple random sampling a straightforward method for selecting a random sample; give each member of the population a number Use a random number generator to select a set of labels. These randomly selected labels identify the members of your sample

PDF page 56: stratified sampling a method for selecting a random sample used to ensure that subgroups of the population are represented adequately; divide the population into groups (strata). Use simple random sampling to identify a proportionate number of individuals from each stratum

PDF page 56: survey a study in which data is collected as reported by individuals. systematic sampling a method for selecting a random sample; list the members of the population Use simple random sampling to select a starting point in the population. Let k = (number of individuals in the population)/(number of individuals needed in the sample). Choose every kth individual in the list starting with the one that was randomly selected. If necessary, return to the beginning of the population list to complete your sample

PDF page 52: Pick a simple random sample of 15 restaurants.

PDF page 53: Pick a stratified sample, by city, of 20 restaurants. Use 25 percent of the restaurants from each stratum. Round to the nearest whole number.

PDF page 53: Pick a stratified sample, by city, of 20 restaurants. Use 25 percent of the restaurants from each stratum. Round to the nearest whole number.

PDF page 53: Pick a stratified sample, by entree cost, of 21 restaurants. Use 25 percent of the restaurants from each stratum. Round

PDF page 54: Pick a cluster sample of restaurants from two cities. The number of restaurants will vary.

PDF page 55: control group a group in a randomized experiment that receives an inactive treatment but is otherwise managed exactly as the other groups convenience sampling a nonrandom method of selecting a sample; this method selects individuals that are easily accessible and may result in biased data cumulative relative frequency the term applies to an ordered set of observations from smallest to largest. The cumulative relative frequency is the sum of the relative frequencies for all values that are less than or equal to the given value

PDF page 52: • The student will demonstrate the simple random, systematic, stratified, and cluster sampling techniques.