Section 8.1
Estimating Population Means
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Objectives
o Determine the best point estimates for population
parameters.
o Calculate margins
Lesson 8.3
Section 8.3 outlines the procedure for testing the population proportion. Z scores and the proportion
formulas are used in these tests. You can review the proportion symbols and formulas on page 469. Read through the
procedure box on pp. 469-70
Lesson 8.1
Section 8.1 is an introduction to statistical testing. You will have two ideas or hypotheses when doing a statistical test.
One of these ideas is the null hypothesis. This hypothesis is that nothing has changed. If the population mean was 8.6
f
Lesson 7.1
In this chapter we begin looking at ESTIMATION of population parameters using sample statistics.
So how do we estimate the population mean using the sample mean as a point estimate?
In 7.1, we assume is known, and we take a simple random sample
8.3 Testing a Proportion p
Statistics
Shirkey
1. Establish the null and alternate hypothesis Ho: p = k; H1: p <, >, or k
2. Determine a level of significance
3. Sketch and label the curve
4. Calculate the observed test statistic
z=
5. Determine the P-val
Statistics 9.1 Notes
Shirkey
Scatter Diagram: graph with (x,y) pairs plotted. x is called the explanatory variable, y the response variable.
See fig. 9-1 p. 531.
The main idea here is to try to find the equation of the line that best fits the data, and us
Lesson 8.2
Section 8.2 describes the procedure for testing the population mean.
When is known (p. 426) (from a preliminary study): observed test statistic is
We did this type of problem in the previous section.
Usually, is not known.
When is unknown (p. 4
Lesson 3.3
Section 3.3 explains the use of percentiles and the box-and-whisker plot.
Percentiles (p. 122) are used to show what percentage of the data values are at or below the value in question. You have
probably been given a test score in a percentile
Lesson 6.4
In previous sections of chapter 6, we used population means and population standard deviations without really saying
much about it. Population measures such as these are called parameters. The parameters of a population are often not
known. We
8.1 Introduction to Statistical Tests
Statistics - Shirkey
In the previous chapter, we used confidence intervals to estimate parameters. Now, we perform hypothesis
tests to help us make informed decisions about population parameters.
Steps to performing t
Lesson 9.1
Section 9.1 covers scatter diagrams and linear correlation.
Scatter Diagram: graph with (x,y) pairs plotted. x is called the explanatory variable, y the response variable.
See fig. 9-1 p. 531.
The main idea here is to try to find the equation o