Chapter 11
Inference from Two Samples
11.1 Review
Chapters 7 and 8 both involved methods for dealing with a sample from a single population. We
worked with confidence interval estimating a population parameter, for example, . We then
looked at hypothesis
Nonparametric Statistics
Chapter 15
In previous chapters we were dealing with parametric methods. Many of them required normally
distributed populations.
For example, population proportion, population mean,etc.
Parametric test have requirements about the
Multiple Regression
In the previous section, we talked about simple linear regression. Variable y, depend on only
one explanatory variable, x. Using the following equation:
for sample data
for population
In this section, we will look at the multiple regre
Section 10-4
Variation and Prediction Intervals
In this section we present a method for constructing a prediction interval, which is an interval
estimate of a predicted value of y.
Previously, we worked with the regression equation where represents the pr
Chapter 8 (Review)
Hypothesis Testing
Overview: The main objective of this chapter is to develop the ability to conduct hypothesis tests
for claims made about a population proportion, a population mean, or a population standard
deviation .
Definitions:
I
Chapter 7
Quick review on confidence interval
Definition: A confidence interval (CI) is a range of values used to estimate the true value of a
population parameter.
Confidence interval for estimating a population proportion P
Where
Confidence interval for
13.4 Two- Way ANOVA
In this section well see how to look at two factors at a time. We will also look at the interaction
between the two factors.
For example
How accurately can you throw a dart?
We had the same example in section 12.2, but this time we hav
12.3 McNemars Test for Matched Pairs
The methods in section 11.3 for analyzing two-way tables are based on independent data. For
2X2 tables consisting of frequency counts that result from matched pairs, the frequency counts
within each matched pair are no
12.2 Contingency Tables
In this section, we will look at two-way frequency tables, which include frequency counts for
categorical data arranged in a table with at least two rows and at least two columns.
We present a method for conducting a hypothesis tes
Chapter 12
Goodness-of-Fit and Contingency Tables
12.1 Goodness-Of-Fit test
So far we introduced statistical methods that can be used to test hypothesis regarding a
population parameter, but now we are interested I testing a hypothesis regarding the entir
11.4 Comparing Variation in Two Samples
This section presents the F test for comparing two population variances (or standard
deviations). We introduce the F distribution that is used for the F test.
F- Test is not a symmetric. The graph is skewed to the r
Inferences About Two Means: (Independent Samples)
In this section we present methods for using sample data from two independent samples to test
hypothesis and to construct confidence interval of the difference between two population means.
There are two p
Inference from Dependent Samples, or Matched pairs
In this section we are going to perform hypothesis test and construct a confidence interval for
paired variables.
How much will an LSAT prep course raise scores? Are boys better at computer games than the
Art/Wst 110
Key Words and Ideas for Quiz One
Langlois
Quiz covers: Material covered in lecture as below. There will be between 20 questions, multiple
choice and fill in the blank, including some questions that refer to selected images (artworks and
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