STAT200
WEB
Chapter 9
Topics: sections 9.1-9.3
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
Table IV Appendix C - z-score
Table V Appendix C - t-distribution
We will be using many concepts
STAT200
WEB
Chapter 8
Topics: sections 8.1-8.3
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
Table IV Appendix C - z-score
Table V Appendix C - t-distribution
We will be using many concepts
STAT200
WEB
Chapter 3
Topics: sections 3.1-3.2 & 3.5
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
Many of these concepts, though simple, will be used through-out the remaining chapters.
Mean
Some Formulas
Recognize that formulas can carry into later chapters - and you will be asked on exams for formulas.
Be sure to use this listing for exams (cut/paste).
Chp 3
Mean
Population = X / N
AND
Sample = x / n
Variance
Population 2 = (X - )2 / N AND
Stat200
Exam1 Chapters 1-3
Name: Emily Sheahan
Sept 14, 2016
Select the best possible answer. Those with an asterisk (*) are worth 4 points per, rest are 3 points per.
Some questions require formula & work, ALL parts of question must be correct to get ful
STAT200
WEB
Chapter 5
Topics: sections 5.1-5.4
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
Table I of Appendix C
Many of these concepts, though simple, will be used through-out the remaini
STAT200
WEB
Chapter 6
Topics: sections 6.1-6.4
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
Table IV Appendix C(area under the curve)
Many of these concepts, though simple, will be used thr
STAT200
WEB
Chapter 1
Topics: sections 1.1-1.5 & 1.7
Pay attention to:
definitions (typically in green shaded boxes)
chart section 1.5 page 12
summation notation section 1.7
Many of these concepts, though simple, will be used through-out the remaining
STAT200
WEB
Chapter 13
Topics: sections 13.1-13.2 and 13.4
Pay attention to:
definitions (typically in green shaded boxes)
formulas (typically in yellow shaded boxes)
We will be using many concepts from previous chapters.
Linear Regression
Is a straight
Chapter 3
Sec. 3.3
Mutually Exclusive Events and the
Addition Rule
1
Mutually Exclusive Events
Two events A and B are mutually exclusive if A
and B cannot occur at the same time.
Mathematically: A and B are M.E. if P(A and B) = 0
2
Example
Experiment: Dra
Chapter 3
Sec. 3.2
Conditional Probability and the
Multiplication Rule
1
Conditional Probability
Conditional Probability: the probability of an
event occurring, given that another event has
already occurred.
Symbolically: the probability of A, given tha
Section 8.1
Testing the Difference Between
Means and
(Independent Samples
and Known)
1
Section 8.1 Objectives
Determine whether two samples are independent or
dependent
Perform a two-sample z-test for the difference
between two means 1 and 2 using large
Chapter 7
Sec. 7.4
Hypothesis Testing for the Population
Proportion Z-test
1
Question?
that manufactures light bulbs knows that
A company
some of the bulbs that come off the assembly line will
be defective. The company cannot take the time to
test every b
Sec. 5.4
Sampling Distributions and the
Central Limit Theorem
Sec. 5.4
1
Sampling Distributions
A
Sampling Distribution is the probability
distribution formed when all possible samples
of size are taken from the population
Sampling Distribution of
Is th
Chapter 6
Sec. 6.1
Confidence Intervals for the
Population Mean
1
Question?
What is the average (mean) number of text
messages sent per day by Behrend students?
Although the actual mean does exist, we may
not be able to find it.
We can estimate the act
Lesson 1: Gathering Data
Due August 29, 2016
18 points
Answer the following questions showing all work. If you use Minitab Express
include the appropriate output (copy + paste) along with an explanation.
Output without explanation will not receive full cr
Lesson 2: Turning Data into Information
Due September 5, 2016
17 points
Answer the following questions showing all work. If you use Minitab Express
include the appropriate output (copy + paste) along with an explanation.
Output without explanation will no
Lesson 5: Probability Distributions
Due Monday, September 26
17 points
Answer the following questions showing all work. Full credit will not be given
to answers without work shown. If you use Minitab Express include the
appropriate output (copy + paste) a
Lesson 4: Probability with Two Variables
Due Monday, September 19
15 points
Answer the following questions showing all work. Full credit will not be given to answers
without work shown. If you use Minitab Express include the appropriate output (copy +
pas
Lesson 3: Probability with One Variable
Due September 12, 2016
14 points
Answer the following questions showing all work. If you use Minitab Express
include the appropriate output (copy + paste) along with an explanation.
Output without explanation will n
Sampling
No data sets used for this activity
Non-response bias refers to a bias that occurs if people with a particular opinion or trait tend to refuse
to answer certain survey questions (or possibly refuse to participate in the survey at all).
Response b
Displaying Data
Data Set used for this activity: Class Survey
1 Suppose a medical researcher compares the average blood pressures of
women who take oral contraceptives to the blood pressures of women
who do not.
a. Is blood pressure a categorical variable
Lab Activity 6 - Confidence Intervals Proportion and One Mean
1.
The term sampling frame refers to the group that actually had a chance to get into the sample. Ideally,
this is the same as the population of interest, but sometimes it isnt. In the followin
Lab Activity 9
One-Way Analysis of Variance (ANOVA)
Data Set: Hot Dog
One-way analysis of variance is a method for comparing several population means, when the data are
from independent samples. It a test that examines the relationship between a quantitat
Lab Activity 11 - Simple Linear Regression
1. (xx points)
Facts about correlation.
a.
b.
c.
d.
e.
Answer the following questions about correlation (r).
What is the strongest the correlation can ever be? 1.0
If there is no relationship, r is equal to 0
The
Lab Activity 7 - Hypothesis Testing Proportion and One Mean
Data Set Needed: Class Survey
NOTE: for those using SPSS you will need to do hand calculations in parts 1 and 2.
P-value Guidelines when using Standard Normal Table (i.e. the Z-table):
Keep this
Quiz 1
1.
Decide if the sample is representative (or not) of the population for the
question of interest. Question: Average age of people in Salt Lake City.
Sample: 10 people picked randomly from all people living in Salt Lake City.
Population: All people
1.
Which one of the following variables is not categorical?
A) Age of a person.
B) Gender of a person: male or female.
C) Choice on a test item: true or false.
D) Marital status of a person (single, married, divorced, other)
Feedback: Age is the only vari