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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 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 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 8.3.1
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
STATWAY STUDENT HANDOUT
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 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 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 7.1.1
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
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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
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 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