A majority of Pew Research Center surveys are conducted among the U.S. general public by telephone using a sampling method known as random digit dialing or “RDD.” This method ensures that all telephone numbers in the U.S – whether landline or cellphone – have a known chance of being included. As a result, samples based on RDD should be unbiased, and a margin of sampling error and a confidence level can be computed for them. Is this a random sample? How do you know?
A majority of Pew Research Center surveys are conducted among the U.S. general public by telephone using a sampling method known as random digit dialing or “RDD.” This method ensures that all telephone numbers in the U.S – whether landline or cellphone – have a known chance of being included. As a result, samples based on RDD should be unbiased, and a margin of sampling error and a confidence level can be computed for them. Is this a random sample? How do you know?
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 3E
Related questions
Question
d.In order to be confident that the sample represents the population without bias, we must have a random sample. Read the following excerpt from the Pew Research methodology for this College Days
“A majority of Pew Research Center surveys are conducted among the U.S. general public by telephone using a sampling method known as random digit dialing or “RDD.” This method ensures that all telephone numbers in the U.S – whether landline or cellphone – have a known chance of being included. As a result, samples based on RDD should be unbiased, and a margin of sampling error and a confidence level can be computed for them.
Is this a random sample? How do you know?
![Introduction:
Our goal in statistical inference is to infer something about a population from a
sample. For example, suppose that researchers want to estimate the proportion of
the population of U.S. adults that support the death penalty. It is too expensive
and difficult to survey every U.S. adult. So researchers will poll a random sample
of U.S. adults and use the sample proportion to draw a conclusion about the
population proportion.
In this activity we will learn about one type of statistical inference called a
confidence interval. We construct a confidence interval when our goal is to
estimate
a population proportion.
College Days, Reconsidered
% who say doing each of the following while they were
undergraduates would have better prepared them to get
the job they wanted
Gaining more
work experience
50
Studying harder
38
Looking for
work sooner
30
Choosing a
different major
29
Note: Based on those with atleasta bachelor's degree (n=790).
Voluntary responses of "Maybe" notincluded.
PEW RESEARCH CENTER
Q228-d
Example: Constructing a confidence interval
from a poll.
The Pew Research Center asked college
graduates what they could have done, while
still in school, to be better prepared for their
dream job.
We will use the results of this poll to estimate
the proportion of the population of all college
graduates who wished they had studied
harder.
In the report, the researchers state that the
poll had a margin of error of 4.3 percentage
points at the 95% confidence level.
Source: http://www.pewresearch.org/methodology/u-s-survey-research/sampling/](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fefb984aa-c516-4d61-94b2-6d7c6c66ad0c%2F96b28bb0-a324-4a42-84f8-4ba121452f84%2F1s13edr_processed.png&w=3840&q=75)
Transcribed Image Text:Introduction:
Our goal in statistical inference is to infer something about a population from a
sample. For example, suppose that researchers want to estimate the proportion of
the population of U.S. adults that support the death penalty. It is too expensive
and difficult to survey every U.S. adult. So researchers will poll a random sample
of U.S. adults and use the sample proportion to draw a conclusion about the
population proportion.
In this activity we will learn about one type of statistical inference called a
confidence interval. We construct a confidence interval when our goal is to
estimate
a population proportion.
College Days, Reconsidered
% who say doing each of the following while they were
undergraduates would have better prepared them to get
the job they wanted
Gaining more
work experience
50
Studying harder
38
Looking for
work sooner
30
Choosing a
different major
29
Note: Based on those with atleasta bachelor's degree (n=790).
Voluntary responses of "Maybe" notincluded.
PEW RESEARCH CENTER
Q228-d
Example: Constructing a confidence interval
from a poll.
The Pew Research Center asked college
graduates what they could have done, while
still in school, to be better prepared for their
dream job.
We will use the results of this poll to estimate
the proportion of the population of all college
graduates who wished they had studied
harder.
In the report, the researchers state that the
poll had a margin of error of 4.3 percentage
points at the 95% confidence level.
Source: http://www.pewresearch.org/methodology/u-s-survey-research/sampling/
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