STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 22
1. You roll the die 60 times & get the following:
Value
1
2
3
Observed
4
6
17
Expected
10
10
10
4
16
10
5
8
10
6
9
10
a) Write Null and alternative hypothesis
b) Calculate the value of test stat
STAT 3332 Statistics for Life Sciences
Fall 2013
Test 4 (Test Form A)
Note: 20 points will be deducted if ID or Test Form is not bubbled correctly on the scantron.
Select the best answer and record it on the scantron form. No credit will be given if an a
Chapter 3: Histogram
In the last two chapters, we learnt about collecting data
the rst aspect of statistics.
Next, we move to the second aspect organization,
summarization, and analysis of data.
A histogram is a graph to represent quantitative (numeric)
1 What is Statistics?
Experiment
Sample
Collecting data
Presenting data
Summary statistics
Probability
Inferential Statistics drawing conclusions about the population using sample data
2 Controlled Experiment
Treatment group and control group
Assigning su
STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 1
Circle First letter of last name on top right corner.
NAME: (Last, First)_
If name is not written in above format and clearly one point will be deducted.
Underline correct answer or show all your
STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 2
Circle First letter of last name on top right corner.
NAME: (Last, First)_
If name is not written in above format and clearly one point will be deducted.
Underline correct answer or show all your
STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 3
Circle First letter of last name on top right corner.
NAME: (Last, First)_
If name is not written in above format and clearly one point will be deducted.
Underline correct answer or show all your
STAT 3332.001 Statistics for Life Sciences
STAT 3332.003 Statistics for Life Sciences
Professor S. Foley
Term Spring 2016
T R 1:00 PM 2:15 PM ECSS 2.410
Class Sessions
T R 2:30 PM 3:45 PM CN 1.120
Course
marlettappraisal.pd
f
Professors Contact Informatio
Chapters 11 & 12: Residuals, R.M.S. Error, and the
Regression Line
Recall the regression line equation:
SD
y = y + rxy SDy (x x ) = y .
x
SD
Here rxy SDy is the slope of the regression line.
x
Slope gives the amount of change in y values for one unit
chan
Chapters 13 and 14: Chances (Probability)
Probability refers to the study of randomness & uncertainty.
Consider the following statements:
What is the chance that an experimental chemotherapy regimen will be
eective?
An outbreak of malaria in a recently oo
Chapter 10: Regression
Issue: If two variables are related, can we predict one variable using the
other, and how good is our prediction?
There is an injured bear in the forest that needs to be moved! We
need an idea of his weight but have no scale.
Past s
STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 4
Circle First letter of last name on top right corner.
NAME: (Last, First)_
If name is not written in above format and clearly one point will be deducted.
Underline correct answer or show all your
Chapter 15: The Binomial Formula & Distribution
One basic process we commonly encounter is one that has two possible
(mutually exclusive) outcomes.
E.g., head/tail, pass/fail, infected/not infected, positive/negative,
defective/non-defective.
Generic name
STAT 3332 (Statistics for Life Sciences)
Spring 2016 Quiz 5
Circle First letter of last name on top right corner.
NAME: (Last, First)_
If name is not written in above format and clearly one point will be deducted.
Underline correct answer or show all your
What is Statistics?
Statistics is a eld of study concerned with
1. Collection of data
2. Organization, summarization, and analysis of data
3. Drawing inferences about a big population by observing only a
part of it
Statistics is needed in almost all areas
Chapter 5: The Normal Approximation for Data
I
I
Many histograms of data can be modeled using the normal
distribution. It is the most important distribution in Statistics.
Look at the list of variables that are generally modeled using
normal distribution
STAT 3332 (Statistics for Life Sciences)
Fall 2014 Test 1 (Test Form A)
NOTE: Select the best answer and record it on the scantron form. No credit will be given if
an answer is not recorded properly on the scantron form. There are 25 questions each
questi
STAT 3332 Statistics for Life Sciences - Fall 2014
Quiz 1
NOTE: Select the best answer and record it on the scantron form. No credit will be given if an
answer is not recorded properly on the scantron form. Each question is worth 10 points.
Question 1: Th
STAT 3332 (Statistics for Life Sciences)
Fall 2014 Test 3 (Test Form A)
NOTE: Select the best answer and record it on the scantron form. No credit will be given if
an answer is not recorded properly on the scantron form. There are 25 questions each
questi
Chapter 3: Histogram
I
In the last two chapters, we learnt about collecting data
the rst aspect of statistics.
I
Next, we move to the second aspect organization,
summarization, and analysis of data.
I
A histogram is a graph to represent quantitative (num
Chapter 10: Regression
Issue: If two variables are related, can we predict one variable
using the other, and how good is our prediction?
There is an injured bear in the forest that needs to be moved!
We need an idea of his weight but have no scale.
Past s
Chapters 11 & 12: Residuals, R.M.S. Error, and the
Regression Line
Recall the regression line equation:
y = a + bx = y
SD
b = r SDy and a = y b x .
x
Here b is the slope of the regression line and a is its intercept.
Slope gives the amount of change in y
What is Statistics?
I
Statistics is a eld of study concerned with
1. Collection of data
2. Organization, summarization, and analysis of data
3. Drawing inferences about a big population by observing only a
part of it
I
I
I
I
Statistics is needed in almost
Chapters 13 and 14: Chances (Probability)
Upto now we have focused on data and the question
What is the message in this data?
We now need to address the questions like:
If this data is a sample from a large population, how well the message in
data apply t
Correlation
Sometimes two or more measurements of randomly chosen
subjects are related to each other.
Information about the value of one variable represents the
information about another.
For e.g.: For each subject in a data set we have data on two
quanti
Chapter 15: The Binomial Formula & Distribution
I
I
I
I
One basic process we commonly encounter is one that has two possible
(mutually exclusive) outcomes.
E.g., head/tail, pass/fail, infected/not infected, positive/negative,
defective/non-defective.
Gene