d. A researcher polls people as they walk by on the street. e. A survey assessing customer satisfaction with a product might establish clusters based on place of purchase, then choose a number of those clusters at random. f. A survey about timekeeping might divide the population by time zone, then take 100 random samples per zone.
d. A researcher polls people as they walk by on the street. e. A survey assessing customer satisfaction with a product might establish clusters based on place of purchase, then choose a number of those clusters at random. f. A survey about timekeeping might divide the population by time zone, then take 100 random samples per zone.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
P3
Answer d e f g
Answers only

Transcribed Image Text:ce LET'S DO IT!
1. Review the concepts related to types of sampling
techniques.
2. Read carefully each statement below.
3. Classify each sample and determine the type of
sampling technique. Write your ANSWER in your answer
sheets.
a. A test of the effectiveness of a new curriculum
could begin by dividing an area by school district, then
choosing a school or set number of schools at random and
sampling students from each.
b. At a birthday party, teams for a game are
chosen by putting everyone's name into a jar, and then
choosing the names at random for each team.
_c. A market survey by a company interested in
branching into a new market might choose a population of
people using similar products, stratify it by brand, and sampling
from each stratum.
d. A researcher polls people as they walk by on
the street.
e. A survey assessing customer satisfaction with a
product might establish clusters based on place of purchase,
then choose a number of those clusters at random.
f. A survey about timekeeping might divide the
population by time zone, then take 100 random samples per
zone.
g. Suppose our desired sample size is n=300, and
we wish to ensure that the distribution of subjects' ages in the
sample is similar to that in the population. We know from census
data that approximately 30% of the population are under age
20; 40% are between 20 and 49; and 30% are 50
years of age and older. We would then sample n=90 persons
under age 20, n=120 between the ages of 20 and 49 and n=90
who are 50 years of age and older.
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