Biom 301 Old Exam Questions: Chapter 9
1. To test the null hypothesis that the mean waist size for males under 40 years equals 34
inches versus the hypothesis that the mean differs from 34, the following data were
collected: 33, 33, 30, 34, 34, 40, 35, 35

Biom 301 Old Exam Questions: Chapter 9
1. To test the null hypothesis that the mean waist size for males under 40 years equals 34
inches versus the hypothesis that the mean differs from 34, the following data were
collected: 33, 33, 30, 34, 34, 40, 35, 35

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 Int

Practice Test
PART I: Knowing the Definitions
g. Find P(B and C).
h. Find P(B or C).
i. Find P(A and C).
j. Find P(A or C).
k. Find P(A|B).
l. Find P(B|C).
m. Find P(A|C).
n. Are events A and B mutually exclusive? Explain.
o. Are events B and C mutually e

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

Discussion Exercise for Chapter 5
Winter 2012
Name: Sadhvi Saxena
Section: 0103
A. Binomial Distribution Sampling Exercises
Below are 2 sampling exercises examining whether or not sample data follow a binomial
distribution. The goal is to demonstrate when

Newborns are preadapted to face the
developmental tasks of learning about the world and
forming relationships within it
5 important characteristics of newborn
competencies:
Depend on prewired abilities
Often meet

Infant
Social and Emotional
Development
Must differentiate and recognize that people
are specific and constant
Newborns are prewired to be social
Signal psychological and
physiological needs
Detect contingencies in
environment
Attracted to social
stimuli

Worksheet # 3 . Chem 231 Spring 2013
7. Estimate Keq for the following reactions and use curved arrows to show e-flow.
pKas of H-I and H3O+ are -10 and -1.7, respectively. Which is the stronger acid?
For the second reaction, start by adding unshared e-pai

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 Int

available 3/14/13
Worksheet # 7 chem 231 Mar. 25, 2013
1.
Provide names or structures as needed.
al lyl benzyl ether
phenyl vi nyl sulf ide
chlor of orm
str ucture and common name of
OC H3
2-methyl-2-propanethiol
SH
C2H5O
CH3
H
OH
st ructur e and name of

Chapter 13
LinearCorrelation
andRegressionAnalysis
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 correlat

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
Probability
Probability uses population info to m

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
z test
2=?
chi square test
Quanti

Chapter 14
Nonparametric Tests
Previously: Parametric Tests
All previous tests have been parametric
tests this includes Chapter 11 Chi
Square Tests on Qualitative data why?
THEY ASSUME SOME UNDERLYING
DISTRIBUTION
t-distribution
z-distribution
Chi Squ

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 ttest
We asked if the di

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 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 find the sum
total spots showing on to

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 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

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) Measures o

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

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 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

Discussion on Chapter 7 material
Winter 2013
Name:
Section:
Understanding Sample Variability and the Central Limit Theorem
Part 1. Sampling Distribution of Sample Means
This week we are thinking about the sampling distribution of sample means NOT the dist

Chapter 9 Discussion
Winter 2013
Name:
Section:
You have been introduced to analyzing data to test different types of hypotheses. Today, we will
generate data for you to analyze yourself. For all the following tests, ASSUME your class is a
good sample tha

Exam 1 Winter 2012
Name:
Section:
The University of Maryland Honor Code will be strictly enforced. Anyone suspected of cheating
will be prosecuted to the fullest extent possible. You may answer in pen or pencil but
regrades (other than mistakes in additio