The reasons given by workers for quitting their job ,
wages and quit rates arerelated. A random sample of 15 companies found their
employees who quit) and the average hourly, wage (in dollars
quit rate (percent of
) . Below is an analysis of the data
Unit 3 Review Problems (7, 17, 27) ' Name
7. were, rate Biologists studying the effects of acid rain on
wildlife collected data from 163 streams in the Adiron
dack Mountains. They recorded the pH (acidity) of the
water and the BCI, a tneasure of biologica
A Relative Cumulative Frequency Graph
Annotations look like this
Definitions will be highlighted and placed at the end of the slide show
Definition: The pth percentile of a
distribution is the value such that p
percent of the observations fall at or
below
Chapter 8 Day 1
LINEAR REGRESSION
Fat Versus Protein: An Example
The following is a scatterplot of total fat versus
protein for 30 items on the Burger King menu:
The Linear Model
The correlation in this example is 0.83. It says
There seems to be a linea
A. P. STATISTICS
Unit 3: CHAPTERS 7, 8, 9, & 10: Scatterplots, Association, Correlation, and
Regression; Regression Wisdom; Re-expressing data
Learning Targets :
Interpret a scatterplot.
Find and interpret the least squares regression line.
Interpret resi
UNIT 3 (CHAPTERS 7, 8, 9, & 10)
Chapter 7
2. Association. Suppose you were to collect data for each pair of variables. You want to make a scatterplot.
Which variable would you use as the explanatory variable and which as the response variable? What
likely
Chapter 11- Day 1
UNDERSTANDING RANDOMNESS
Why Be Random?
u What is it about chance outcomes being random that
makes random selection seem fair? Two things:
1.
Nobody can guess the outcome before it happens.
2.
When we want things to be fair, usually some
Essentially correct (E) if the response provides the
following three components:
1. Indicates use of a normal distribution and
clearly identifies the correct parameter values
(showing correct components of a z-score
calculation is sufficient).
2. Uses the
Unit 3 Regression more practice
1. The summary statistics below reflect the runs scored and hits for every Major League Baseball player in
2006.
mean
Std. dev.
Home Runs
6.66
9.64
r = 0.824
Runs Scored
31.32
32.71
a. Find the equation of the linear regres
24 Karat Gold Sheet
Single Population
t test/interval for means
Hypothesis:
H 0 : = parameter
paired t test/interval
Hypothesis:
H 0 : diff = 0
(definedifference)
1. Independent data from an SRS
2. Norm
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