Drive (miles)
20
28
54
76
36
88
6
25
40
42
55
71
76
78
4
20
25
29
33
36
36
36
63
73
73
76
80
33
54
63
76
80
80
94
6
State
OR
NY
NV
PA
TX
SC
MI
CA
IL
IL
OH
MI
NY
CA
NY
IL
GA
TX
TX
MI
IL
OR
MI
FL
SC
NY
FL
SC
FL
PA
PA
NV
SC
KY
OR
Shoe Size
7
7
11
11
7
6
10
8
Week 2 Stats Lecture
September 8, 2016
Correlation is used to determine whether or not a relationship exists. (We will study only linear
relationships.) Regression is determining the equation that relates one variable to another.
Regressions look to quant
Stats Lecture Week 4
Chart output for histogram
Check label box to avoid error
Format data series Gap Width
Stem and Leaf
1- Whatever number then use other side to put remaining #
Descriptive Stats
Sort by gender
Then select data, data analysis
Descriptiv
Drive (miles)
71
42
54
63
76
80
20
73
4
80
28
55
6
88
25
80
42
63
80
36
36
36
6
54
33
76
40
94
76
36
29
71
78
36
25
State
MI
IL
FL
PA
NY
CA
MI
FL
MI
PA
NY
OH
SC
MI
CA
PA
FL
OR
NV
MI
CA
TX
OR
NY
SC
PA
IL
KY
MI
OR
TX
MI
CA
TX
GA
Shoe Size
8
8
9
8
9
8
5
12
9
1
MATH 221 Statistics for Decision Making
Week 2 iLab
Name:_
Statistical Concepts that you will learn after completing this iLab:
Using Excel for Statistics
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Week 2 iLab Instructio
1
MATH 221 Statistics for Decision Making
Week 2 iLab
Name:_Ashley Spikes_
Statistical Concepts that you will learn after completing this iLab:
Using Excel for Statistics
Graphics
Shapes of Distributions
Descriptive Statistics
Empirical Rule
Week 2 i
Week 1
Stats Lecture 090116 & Chapters 1-2
Page 12
Lecture
Different types of charts
This line graph shows the trend in expenses and can allow employees to make more informed
decisions about their expenses. This graph can also help the manager make more i
MATH 221 Statistics for Decision Making
Week 4 iLab
Name: _Ashley Spikes_
MATH221
Statistical Concepts:
Probability
Binomial Probability Distribution
Calculating Binomial Probabilities
Open a new Excel worksheet.
1. Open spreadsheet
2. In cell A1 type
Math 221
Quiz Review for Weeks 3 and 4
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
State whether the variable is discrete or continuous.
The # of keys on each student's key chain.
The answer is: discrete, because it is a number that is countable and can be
listed
Math 221
Quiz Review for Weeks 3 and 4
1.
2.
3.
4.
5.
6.
State whether the variable is discrete or continuous.
The # of keys on each student's key chain.
The answer is: discrete, because it is a number that is countable and can be
listed as points on a nu
Math 221
Quiz Review for Weeks 5 and 6
1.
Find the area under the standard normal curve between z = 1.6 and z = 2.6.
2.
A business wants to estimate the true mean annual income of its customers. It
randomly samples 220 of its customers. The mean annual in
are There 2 pages in this exam:
Page: 1 2
1. Question: (TCO 6) In the standard normal distribution, the standard deviation is always
Your Answer: 0 1 ( Ch 5: By definition, the standard deviation = 1. ) CORRECT 2 none
of these Points Received: 5 of 5
2. Q
Final Exam
Review Questions
You should work each of the following on your own, then
review the solutions guide. DO NOT look at the solutions guide
first.
1. Explain the difference between a population and a sample. In
which of these is it important to dis
Statistics Lab Week 4
Name:
MATH221
Statistical Concepts:
Probability
Binomial Probability Distribution
Calculating Binomial Probabilities
Open a new MINITAB worksheet.
We are interested in a binomial experiment with 10 trials. First, we will make the
Statistics Lab #6
Name:
Statistical Concepts:
Data Simulation
Discrete Probability Distribution
Confidence Intervals
Calculations for a set of variables
Open the class survey results that were entered into the MINITAB worksheet.
We want to calculate
Graphing Data with EXCEL
2012 James Geffert
Graphs are pictures of the world of economic and statistical information. They allow us to
visualize relationships that would otherwise remain hidden in a welter of numbers or lost in
wordy explanations. EXCEL
Normal Distribution
x
z=
x=
=
=
z=
1600
1820
120
-1.83
x = z +
z
x
-0.67
120
1820
1739.12
xbar
t or z
s or sigma
n
LC
HC
0.124
1.999
0.206
5
-0.06
0.31
z
s
E
n
1.96
0.5
0.2
24.01
xbar
sigma or s
mu
n
z or t
0.24
0.01
0.25
36
-6.00
Confidence Intervals
P(
Grouped Data Probability 2009 James A. Geffert
Based on Sevilla & Somers Topic 18, exploration 3
We are given a table showing the population of the United States by age.
(Not actual data. See the textbook problem for actual data.)
Remember, to find out ho
Demonstration of Measures of Central Tendency and Dispersion 2008 James A. Geffert
In this spreadsheet I'm going to address measures of central tendency and measures of
dispersion. We'll also consider graphing data in the various levels of measurement I d
Regression and Correlation
Selected Topics
James Geffert 2004
Welcome to the second part of the lecture notes, wherein we'll continue our exploration
of regression and correlation.
Consider the table of values below. It shows a sample of data collected a
Fuel consumption in a city (Millions of cubic feet of natural gas - MMcf per week)
is related to average hourly temperature in degrees Fahrenheit per week as follows.
Week
1
2
3
4
5
6
7
8
Average
MMcf
Hourly
Weekly
Temp FuelCons
28.0
12.4
28.0
11.7
32.5
1
Math 221
Week 6 Lab
Part 1. Normal Distributions and Birth Weights in America
2a. 99.88% 2b. 43.83% 2c. 4.66% 2d 2.75% 3a. 37 to 39 weeks/ more than 8.73 pounds 3b. 42 weeks and over/9.09 pounds 4. 32 to 35 weeks/41.40% b. 37 to 39 weeks/82.61% c. 42 week