Discussion 1
Biom301 Winter 2017
The goal of todays discussion will be to begin the process of thinking about Populations how they are
sampled, what is sampled and what questions can be asked. As a pa
Exam 2 Practice Questions
f
1. CIor
Binomial distributions willalways be unimodal and symmetric when p = .5
2.
[email protected] lf two outcomes are independent, you also know that they are mutually exclusive.
For
Discussion 2
Biom301 2017
The goal of todays discussion is to sample statistics that show something interesting about the measures
of center and spread of your data. Work in the same groups as last we
Exam 2 Spring 2017
Name:
Section, or TA Name or Day and Time of Discussion:
The University of Maryland Honor Code will be strictly enforced. Anyone suspected of cheating will be prosecuted
to the full
Exam 2 Spring 2017
Name:
Section, or TA Name, or Day and Time of Discussion:
The University of Maryland Honor Code will be strictly enforced. Anyone suspected of cheating will be prosecuted
to the ful
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 Vari
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
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
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) Measure
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 o
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 environmentalist
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 th
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
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 q
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
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 occurr
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:
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 occurr
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 =
Populati
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
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 differe
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
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
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 wil
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.
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. W
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. Con