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Lesson 10.1.2
Central Limit Theorem for Sample Means
INTRODUCTION
Exploring Sampling Distributions
In lesson 10.1.1 you found random samples from a population of 400 real acorn we
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Lesson 7.2.1
Introduction to Confidence Intervals
INTRODUCTION
The Pew Research Center conducts phone surveys to gather the opinions of American adults on a variety of
political issues. One such question is whether or not American
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Lesson 10.2.2
Confidence Intervals for a Population Mean
INTRODUCTION
What is the mean commute time for college students at your college? Is it longer than a half hour? Is it l
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Lesson 7.1.2
The Central Limit Theorem for Sample Proportions
INTRODUCTION
Gallup surveyed people in over 100 countries in December 2010 and found that 42% of adults in
the world believe that global warming is a serious threat to t
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Lesson 9.1.2
Exploring the Sampling Distribution of Differences in Two Proportions
INTRODUCTION
In two recent years, polls were conducted to determine the changing proportions of America
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Lesson 8.3.1
Hypothesis Tests for Population Proportions
INTRODUCTION TO PART 1
The Hypothesis Testing Process
In Lesson 8.2.1 we learned that hypothesis testing involves using
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Lesson 10.1.1
Sampling Distributions of Sample Means
INTRODUCTION
In Modules 79, you used sampling distributions of sample proportions to estimate or test a claim about a
populat
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Lesson 10.3.2
Hypothesis Tests for Paired Samples
INTRODUCTION
The process for testing claims about paired differences is the same as the process for testing claims about a
population
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Lesson 8.1.1
Intervals for a Population Proportion and the Normal Distribution
The Estimated Standard Error of Sample Proportions
In Module 7, we found 95% confidence intervals f
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Lesson 7.1.3
Finding Areas under Sampling Distributions
INTRODUCTION
Recall from the last lesson that Gallup surveyed adults in over 100 countries about global warming. The
Gallup poll reported that 73% of Latin Americans (people i
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Lesson 8.3.2
Additional Hypothesis Tests for Population Proportions
INTRODUCTION
Hypothesis Testing
Asthma Incidence among Youth
The Statistical Abstract of the United States1 r
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Lesson 8.1.2
Constructing Confidence Intervals for a Population Proportion
INTRODUCTION
Fun alternatives to dice games sometimes use special pig dice. Just looking at a pig die make
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Lesson 7.1.1
Distributions of Sample Proportions
INTRODUCTION
The population proportion of all blue M&Ms is an example of a parameter. The proportion of blue M&Ms in a
sample is an example of a statistic. Statistics are often used
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Lesson 9.1.1
Sampling Distribution of Differences of Two Proportions
INTRODUCTION
The GPS software company, TeleNav, recently commissioned a study on proportions of people who text w
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Lesson 10.3.1
Hypothesis Tests for Population Means
INTRODUCTION
Hypothesis Testing for a Population Mean
As we have seen, there are two basic forms of statistical inference: co
Sampling Distributions of Sample Means and Sample Proportions
Applied Statistics Dr. Rachel Hall
Tips. The techniques for nding the distribution of a sample mean and nding
the distribution of a sample proportion are quite similar, although the formulas ar
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Lesson 10.4.1
Inference from Independent Samples
INTRODUCTION
Suppose you want to estimate the difference between the mean commute time of students and the mean
commute time of faculty a
Statway
TM
A statistics pathway for college students
Module 1:
Statistical Studies and Overview of the Data Analysis Process
Module 2:
Summarizing Data Graphically and Numerically
Module 3:
Reasoning About Bivariate Numerical DataLinear
Relationships
Modu
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Lesson 8.2.1
Testing a Hypothesis
INTRODUCTION
The two basic types of statistical inference are (1) estimating a population parameter and (b) testing a claim
about a population pa
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Lesson 8.2.2
Introduction to Hypothesis Testing
INTRODUCTION
In the last lesson we completed the first step in a hypothesis test, determining the hypotheses. In this
lesson we
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Lesson 7.2.2
Using Sampling Distributions to Reason on Population Claims
Suppose you meet a man named Ned who claims to be able to predict the outcome of coin flips better
than random guessing.
1
If Ned is really just guessing, abo