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8. Identify the type of sampling (stratified, cluster, systematie) in each setting (a) A researcher polls every 15th person exiting an airplane on customer satisfactiorn. (b) A big business was interested in spending patterns of its store credit card holders. Because spending habits may vary by age group, customers were classified in one of 7 age brackets and a random sample from each bracket was taken. (c) Students in a nursing program are predominately female. To ensure representation of all gender groups in a study, a random sample from each gender group is taken. (d) A researcher was interested in hazing on college campuses. Students were divided into groups based on Greek membership. A random sample of fraternities and sororities was taken. Every student in the selected groups was surveyed about hazing. 9. A randomized experiment measured weight gain (in grams) of makes rats under six diets varying by source of protein (beef, cereal, pork) and level of protein (low, high). Ten rats were assigned to each diet. (a) What kind of study was performed? (Single factor, multi-factor, or block) (b) Identify the response in the study. (c) Identify the factor(s) and block if present. (d) Identify the factor levels. (e) Identify the treatments. (f) Identify the experimental units and state how many if known. (g) Outline the design. 10. Wind turbines are notorious bird killers. In the name of green energy, a study was conducted to reduce harm to these flying beasts. It is thought that blade color can either attract or detract insects, in turn attracting or detracting birds and bats. The study was conducted to determine if blade color influenced fatality counts. Four different wind farms around the country took part in the study and location of the farm may have an impact on bird availability. At each farm, wind turbines were randomly assigned to have blades of white, purple, or yellow. At the end of the study, number of bird strikes were recorded. (a) What kind of study was performed? (Single factor, multi-factor, block) (b) Identify the response in the study. (c) Identify the factor(s) and block if present. (d) Identify the factor levels. (e) Identify the treatments. (f) Identify the experimental units and state how many if known. (8) Outline the design.
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8)

a)It is Sytematic Sampling (under the category Probability Sampling Technique). In this case all elements of target population are put in a list and then every Nth element is chosen to make a sample.

b)It is Stratified Sampling (under the category Probability Sampling Technique). In this a target population is divided into identified subgroups. Now sample from each subgroup is taken

c)It is Stratified Sampling (under the category Probability Sampling Technique). In this a target population is divided into identified subgroups. Now sample from each subgroup is taken

d) It is Cluster Sampling (under the category Probability Sampling Technique). In this case existing subgroups of population are identified. After identification, some of these subgroups are randomly selected. In these subgroups every member makes element of a sample.

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