Stat 121 Review for Final
See Learning Suite for information
on the Final Exam, Exam Review
sessions and Extra Credit
opportunities
Identifying procedures
One-sample procedures
One-sample Z for propo
ESTIMATION USING CONFIDENCE INTERVALS:
THE FOUR-STEP PROCESS
STATE: What is the problem or research question that
requires estimating a parameter?
PLAN:
Choose correct procedure (e.g. one sample Z
co
dTERRA International
Process Analysis Report
Josh Hunter, Jordan Stevens, Austin Bradford, Elliott Knox
Introduction and Overview
Introduction. dTERRA International was founded in 2008 with the missio
Glossary for Exam 2
alternative hypothesis: A statement about the value of a parameter that is either less than,
greater than, or not equal to a hypothesized number or another parameter; the hypothesi
Procedure
One
sample z
for means
Type of
data
Quantitative
Onesample t
for means
Quantitative
A matched
pairs t-test
for means
CQ
Explanator
y variable
has two
levels
Twosample t
for means
CQ
Explanat
Glossary for Exam 1
block: A group of experimental units sharing some common characteristic. In a randomized
complete block design, random allocation of treatments is carried out separately within eac
Credit Quiz 09: Examining Distributions with Numerical Measures Part 2
Score: 6/10 (60%)
1. Refer to the following boxplot for questions 13:
Which of the following statements is true about the boxplot
Credit Quiz 08: Describing Distributions of Quantitative Variables Part1
Score: 8/10 (80%)
1. What is the symbol for the sample mean?
x-wzt
p is the symbol for the population mean.
M is the symbol for
Credit Quiz 10: Introduction to Probability
Score: 10/10 (100%)
1. Choose the probability that best matches the following statement: "This event is very unlikely, but it will occur
once in a while in
Credit Quiz 07: Exploratory Data Analysis-Graphs for Quantitative Variables
Score: 10/10 (100%)
1. Which graph is not used to display quantitative data?
Histogram
v/ Pie chart
Histograms and stemplots
Quiz 06: Design of Experiments
1.
Score: 9/10 (90%)
An experiment that doesn't incorporate randomization is NOT a valid experiment.
True
False
1
1/1
2.
The following situation applies to Questions 3-4
Credit Quiz 05: Producing Data - Experiments
1.
Score: 10/10 (100%)
The following situation applies to Questions 1-5:
Because more questions about statistics have been added to the state exam, a schoo
Credit Quiz 04: Cautions about sample surveys
1.
Score: 9/10 (90%)
Consider the following two survey questions:
Question 1: How satisfied are you with your current job: very satisfied, somewhat satisf
Credit Quiz 01: Syllabus quiz
1.
Score: 15/15 (100%)
True or False: There is no deadline for iClicker, CMU eBook, and LaunchPad eBook
registrations.
True
False
False. Refer to the syllabus for the dea
Credit Quiz 03: Producing Data- Sampling
Score: 10/10 (100%)
Instructions
1.
The college of humanities in a large university was accused of discrimination in their
faculty hiring. Twenty records of th
1.
What is the purpose of statistics?
To mislead others.
To find the right answer.
To convert data into useful information.
CMU eBook page 5: "what statistics is all about is converting data into usef
Sections 5.7 and 6.8
Inference for Paired Data
Statistics 201
1
Overview
5.7: Confidence Intervals for Paired Data
6.8 Paired Sample t-tests
Using Excel
More Practice
2
5.7: Confidence Intervals for P
Section 2.1
Basic Probability
Statistics 201
1
Overview
Sets and Events
Combining Events
Probability
2
Sets and Events
Definitions
Experiment: A process that results in an outcome that cannot be
predi
Section 2.3, part 1
Conditional Probability and Independence
Statistics 201
1
Overview
Conditional Probability
Independence
2
Conditional Probability
Conditional Probability
Sometimes we obtain additi
Section 2.4, part 1
Random Variables, Discrete
Statistics 201
Winter 2017
1
Overview
Random Variables
Discrete Random Variables
2
Random Variables
Definition
A Random Variable assigns a numerical valu
Section 1.2
Numerical Summaries
Statistics 201
1
Overview
Summary Statistics for Numerical Data
Mean
Variance & Standard Deviation
Median
Quartiles
Summary Statistics for Categorical Data
Statistics v
Section 2.3, part 2
Law of Total Probability and Bayes Rule
Statistics 201
1
Overview
Law of Total Probability
Bayes Rule
Application to Reliability Analysis
2
Law of Total Probability
Rearrange Condi
Introduction to Experimental Design and
Factorial Experiments
Chapter 9
Statistics 201
1
Overview
Introduction and Definitions
Aspects of a Well-Designed Experiment
More Definitions: Balanced and Comp
Section 7.1
Correlation
Statistics 201
1
Scatterplot
Bivariate Data
Two quantitative measurements on same unit
Thegoal is to determine the relationship between variables or
to predict one variable f
Section 7.3 (and part of 7.4)
Uncertainties in the Least-Squares Coefficients
Statistics 201
1
Assumptions in Linear Regression
Assumption in Linear Regression
L Linear relationship between x and y
I
Section 4.3
The Poisson Distribution
Statistics 201
1
Overview
Poisson Distribution
Practice
2
Poisson Distribution
Poisson Distribution
Simeon-Denis Poisson (17811840) derived a distribution that
ap
Section 4.5
The Normal Distriution
Statistics 201
1
Overview
Definition
68-95-99.7 Approximation
Z-scores
Using the Normal Table
Computing Probabilities
Computing Percentiles
Practice
2
Definition
Nor
Section 6.12 and 6.2
Fixed-Level Testing and Drawing Conclusions from Hypothesis
Tests
Statistics 201
1
Overview
Significance Level & Critical Point
Type I and Type II Errors
Fail to reject H0 instead
Sections 4.1-4.2
The Bernoulli and Binomial Distributions
Statistics 201
1
Overview
Commonly Used Distributions
Bernoulli Distribution
Binomial Distribution
2
Commonly Used Distributions
Introduction
Section 9.3
Two-Factor Experiments and Two-Factor ANOVA
Statistics 201
1
Example 9.17 in textbook:
Evaluate a redesign of a vertical furnace that uses chemical vapor
deposition of silicon nitride to d