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Examen

Statistics- Sampling Techniques Review Questions with Correct Answers Already Passed

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Statistics- Sampling Techniques Review Questions with Correct Answers Already Passed Random samples - Answers are selected by using chance methods or random numbers. ex random samples - Answers Number each object in the population; Place the numbered card in a box and mix them; Select as many card as needed to form the sample. Systematic samples - Answers Numbering each object in the population; Selecting every Kth value. ex Systematic samples - Answers suppose there are 2000 students in an elementary school and a sample of 50 students is needed. Solution: give a number to each student. then find k=2000/50=40 and every 40th student would be selected. Choose randomly the 1st student from 1 through 40. Stratified samples - Answers are selected by Divide the population into groups (X { typically: race, age, gender, religion, education}) Obtain a random or systematic sample of each X; Put together the samples obtained in the previous step for your ________. ex stratified samples - Answers There are 500 students in a private school in which 350 are male and 150 are female. We need 11 students from each. Solution males k=350/11=31.81 approximately 31 round down. Then randomly choose 1 from 31. then count from that number 31 times till you get 11 students. same goes for females. Cluster samples - Answers are selected by Divide the population into sections "often geographical"; Obtain a random or systematic sample of each; Put together the samples obtained in the previous step for your ________. ex cluster samples - Answers assume town A has 500 families. In this town there are 20% low income families, 50% middle income families, and 30% upper-income families. We need 30 families from each cluster. Solution .20(500)=100 low income .5(500)=250 middle income .3(500)=150 upper income. sample - Answers part of a population Random, systematic, stratified, cluster - Answers Name and define the four basic sampling methods. stratisfied - Answers Classify each sample as random, systematic, stratified, or cluster. Mail carriers of a large city are divided into four groups according to gender male or female and according to whether they walk or ride on their routes. Then 10 are selected from each group and interviewed to determine whether they have been bitten by a dog in the last year. (1-3) cluster - Answers Classify each sample as random, systematic, stratified, or cluster. In a large school district, all teachers from two buildings are interviewed to determine whether they believe the students have less homework to do now than in previous years. systematic - Answers Classify each sample as random, systematic, stratified, or cluster. Every seventh customer entering a shopping mall is asked to select her or his favorite store. random - Answers Classify each sample as random, systematic, stratified, or cluster. Nursing supervisors are selected using random numbers to determine annual salaries. systematic - Answers Classify each sample as random, systematic, stratified, or cluster.

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Publié le
6 novembre 2024
Nombre de pages
3
Écrit en
2024/2025
Type
Examen
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Statistics- Sampling Techniques Review Questions with Correct Answers Already Passed



Random samples - Answers are selected by using

chance methods or random numbers.

ex random samples - Answers Number each object in the population; Place the numbered card in a box
and mix

them; Select as many card as needed to form the

sample.

Systematic samples - Answers Numbering each object in the population; Selecting every Kth value.

ex Systematic samples - Answers suppose there are 2000 students in an elementary school and a sample
of 50 students is needed.

Solution: give a number to each student. then find k=2000/50=40 and every 40th student would be
selected. Choose randomly the 1st student from 1 through 40.

Stratified samples - Answers are selected by Divide the population into groups (X {

typically: race, age, gender, religion, education}) Obtain a random or systematic sample of each

X; Put together the samples obtained in the previous

step for your ________.

ex stratified samples - Answers There are 500 students in a private school in which 350 are male and 150
are female. We need 11 students from each. Solution males k=350/11=31.81 approximately 31 round
down. Then randomly choose 1 from 31. then count from that number 31 times till you get 11 students.
same goes for females.

Cluster samples - Answers are selected by Divide the population into sections "often

geographical"; Obtain a random or systematic sample of each; Put together the samples obtained in the

previous step for your ________.

ex cluster samples - Answers assume town A has 500 families. In this town there are 20% low income
families, 50% middle income families, and 30% upper-income families. We need 30 families from each
cluster.

Solution .20(500)=100 low income .5(500)=250 middle income .3(500)=150 upper income.

sample - Answers part of a population

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