Chapter 13
Linear Correlation
and Regression Analysis
From: Indexed
The Plan
Review Correlation
concepts
Discuss how to analyze
data and interpret
results
Repeat with Regression
2 Quantitative Variables - Correlation
REVIEW: Linear Correlation
A corre
Chapter 5
Discrete Probability Distributions
Lets start with Random Variables
A random variable is simply a variable (x)
whose value depends on the outcome of a
chance operation
Lets say you want to roll 2 dice and the # dots
showing
The random variabl
Review: Quantitative Data
Analyses so far
One population tests
2 populations test
=?
1 = 2
p=?
known not known
Dependent
Paired
Blocked (2trts)
paired t-test
Independent
Unpaired
CRD (2trts)
2 sample t-test
z-test
t-test
These are all
Quantitative
data a
Chapter 2: Descriptive Analysis
and Presentation of SingleVariable Data
In Chapter 1 we discussed
basics of collecting data
Now what?
Descriptive Statistics
Overview
A) Summary Graphs
B) Measures of Central
Tendency
C) Measures of Dispersion
D) Me
Chapter 1:
Statistics
Chapter 1 Goals
Overview of the field of statistics
Introduce several basic vocabulary words used in
studying statistics: population, variable, statistic
Learn basic process of sampling data
What is Statistics?
The Science of Col
Chapter 3
Descriptive Analysis and Presentation
of Bivariate Data
Boating and Manatees
Florida Manatees
Large, slow moving mammals that live in
Florida waterways
Controversy between environmentalists and
boat operators
Manatee deaths continue despite c
Chapter 10
Inferences Involving 2 Populations
Previously
We focused on 1-sample tests
We took 1 sample from 1 population and
compared a sample statistic to Some
Value of interest
Examples:
Does the Population mean = 10 cm?
Does the Population Proport
Introduction to Statistical Inferences
Chapter 8
Topics
1) Inference: Point Estimates and Interval
Estimates
2) Confidence Intervals
3) Hypotheses
4) 1st statistical test of
Inference
Sample Data used to Estimate True Population Values
Remember the
Chapter 6
Normal Probability Distributions
Remember:
Random Variables single outcome
determined by chance
Quantitative
Discrete
Chapter 5
Continuous
Chapter 6
Chapter 6:
Continuous Random Variable
a quantitative, continuous variable
outcome determined by
Chapter 5
Discrete Probability Distributions
Lets start with Random Variables
A random variable is simply a variable (x)
whose value depends on the outcome of a
chance operation
Lets say you want to roll 2 dice and the # dots
showing
The random variabl
Chapter 4: Probability
Chapter 4: Probability
language of uncertainty:
the proportion of outcomes
the fraction of times
the risk of something
the chance of an event
the likelihood of some occurrence
history
Probability
Probability uses population
Hypothesis Testing
So far:
Ho: = some value
assume known
Statistical Test: z-test
Chapter 9
Inferences Involving One
Population
Today
1. Confidence Interval for when is NOT
known
2. Hypothesis test: = some value when
is NOT known
3. Confidence Interva
Chapter 4: Probability
Chapter 4: Probability
language of uncertainty:
the proportion of outcomes
the fraction of times
the risk of something
the chance of an event
the likelihood of some occurrence
history
Probability
Probability uses population
Chapter 12
ANOVA
Analysis of Variance
So Far:
Statistical tests have all been about
COMPARISONS
1 population tests: Does the Parameter =
some value?
2 population tests: Does Population A =
Population B?
Conceptually for a 2 sample t-test
We asked if t
Chapter 7
Sample Variability
Finally getting to the exciting stuff
So far
-collecting data
-simple descriptions of sample data
-basic concepts of probability
Now: final steps to turn data into useful
information making population
statements based on sampl
OLD EXAM QUESTIONS CHAPTER 12 KEY
1.
T or F For ANOVA, you only do a means comparisons test if you reject the null hypothesis.
2.
You use Tukeys test to determine which means are significantly different from each other.
Below are the results
Trt2
Trt3
Trt
Biometrics 301
Fall 2014 COLLEGE PARK
Dr. Chris Hakenkamp
Email: [email protected]
Office location: 0469 Animal Sciences
Office Hours: 10-12:15 on Tuesdays & Thursdays. Because of my limited on-campus
time, please feel free to email me questions at any da
Chapter 5 OLD exam Problems
KEY
1. P(1/4) for x = 1, 2, 3, 4 is an example of a probability _(1 word)
2.
What is the level of probability (in percent) required for some event outcome to be
considered rare or unusual?_
3. What population parameters do you
Chapter 7 Old Exam Problems
1. Assume you take every possible sample of size 4 from a normally distributed
population with a mean of 10. Answer the following questions: sigma = 3
a. T or F samples will have mean values that vary from the true population m
Chapter 6 OLD Exam Problems KEY
May include questions from chapters 5 for comparisons
1. T or F For the standard normal distribution, the mean will always equal 0 and the standard
deviation will be 1.
2. What population parameters do you need to know to e
Chapter 6 OLD Exam Problems
May include questions from chapters 5 for comparisons
1 T or F For the standard normal distribution, the mean will always equal 0 and the standard
deviation will be 1.
2. What population parameters do you need to know to estima
Chapter1
TopicsCovered
1.
Statistics: definition and why study it.
2. Descriptive vs. inferential statistics
3. 8 important terms
4. n vs N
5. Variable Types
6. A Good sample
7. What is random?
8. Convenience sample
9. Experiment vs. Survey
10. Corbicula
Chapter 1 Old Exam Questions
1.
In a sample of 100 drivers on the new Intercounty Connector Highway, the average car speed was
found to be 59 mph.
a.
The variable measured was (circle one): qualitative or quantitative
b.
The study was a/n (circle one): ex
Chapter 1 Old Exam Questions
KEY
1.
In a sample of 100 drivers on the new Intercounty Connector Highway, the average car speed was
found to be 59 mph.
a.
The variable measured was (circle one): qualitative or quantitative
b.
The study was a/n (circle one)
Chapter 2 Practice Questions
Equations:
1.
Please answer the questions below for the following:
3| 3 5 9
4| 0 6 6 8
5| 2 9
6|1
7|
8|
9| 4
where 6|1 = 61
a.
If these data were graphed as a frequency histogram grouped in classes by tens (e.g., 30s, 40s, etc
Answers to Review Card Questions for Chapters 2
Chapter 2
2.1 Median
2.2 dispersion or variability
2.3 never
2.4 True
2.5 0
2.6 higher than
2.7 a) an observation in the data set in which 2 items were purchased
b) frequency of the value 3 in the data set 9