Gabrielle Miller
Psych 240
Lab: Wednesday 02LM
27679934
240 Final Exam r: R exam over Chapters I - IX, XI.
YOU MUST SHOW YOUR R WORK AND THE R OUTPUT FOR THAT QUESTION. This
includes showing figures. Simply getting a correct answer is not enough. FOR ALL
Homework 8 solution
We have to assume: random sample random selection and independence, population standard deviation is given,
sample large, we dont have to assume normality
We have to assume: random sample random selection and independence, population s
Biochem 523, Fall 2010, (Garman and Heuck)
Exam 3a (100 points)
17Nov 2010
Name: _
Student ID: _
Please make sure your exam has 6 pages.
Please keep your eyes on your own paper and your answers covered. Please make sure your answers are clear and
legible.
Biochem 523, Fall 2010, (Garman and Heuck)
Exam 3a (100 points)
17Nov 2010
Name: _
Student ID: _
Please make sure your exam has 6 pages.
Please keep your eyes on your own paper and your answers covered. Please make sure your answers are clear and
legible.
Gabrielle Miller
27679934
Psychology 240-02
Fall, 2014
Take home R exam # 1
1. Use the following vectors to create a data frame named annie with the columns
ordered alphabetically by name.
peter = c(1,2,3,4,5, 6)
ian = c(3,5,7,9,3,4)
alyssa = c(2,4,6,8,2,
Homework 2
3.102 . The following data represent the credit scores of 22 randomly selected loan applicants.
494
728
468
533
747
639
430
690
604
422
356
805
749
600
797
702
628
625
617
647
772
572
Prepare a box-and-whisker plot. Are these data skewed in any
e)Whatisthedifferencebetweenestimationandprediction.
Question5
Arandomsampleof250juniorsmajoringinpsychologyorcommunicationatalargeuniversityisselected.These
studentsareaskedwhetherornottheyarehappywiththeirmajors.Thefollowingtablegivestheresultsofthe
su
Homework 1
1.38 The number of restaurants in each of five small towns is 4, 12, 8, 10, and 5, respectively. Let y denote the number
of restaurants in a small town. Find:
a. y
b. (y)2
c. y2
2.6 Thirty adults were asked which of the following conveniences t
Homework 8 due Tuesday, Nov 26
8.13The standard deviation for a population is = 15.3. A sample of 36 observations selected from this population
gave a mean equal to 74.8.
a. Make a 90% confidence interval for .
b.Construct a 95% confidence interval for .
Homework 5
5.14The H2 Hummer limousine has eight tires on it. A fleet of 1300 H2 limos was fit with a batch of tires that
mistakenly passed quality testing. The following table lists the frequency distribution of the number of defective
tires on the 1300
Chapter 2.
Organizing and graphing data.
Graphing data is the first and often most
important step in data analysis
The following handout discuss common
graphs for qualitative and quantitative
variables.
1
Example 1
In 1969 the war in Vietnam was at its he
Chapter 1.
1.1.What is statistics?
The field of statistics is evolving and growing
in ways few imagined even 15 years ago.
The field of statistics has been around for
centuries, yet its significance to society and
the economy is possibly greater today tha
Page 1
Additional Homework 1 due Monday , Sept 26 (section 1) And Wednesday , Sept 28 (section 2)
Standard
Deviation
Sales
totals
76.24
327.34
149.48
255.13
10985
11685
7861
9624
a)
Sales volume comparison: Based on the data above we can see that
salesper
Sampling and sampling distributions.
Chapter 7
Parameters are numerical descriptive measures for
populations (fixed, often unknown values)
For instance: For the normal distribution: the
parameters are location and shape , described by
and .
For the binom
Chapter 3.1, 3.2
Numerical descriptive measures
Graphs provide a global/qualitative description of
a sample, but they are imprecise for use in
statistical inferences.
We use numerical measures which can be
calculated for either a sample (these measures
ar
3.4 USE OF STANDARD DEVIATION
Empirical Rule
For a bell shaped distribution approximately
1. 68% of the observations lie within one standard
deviation of the mean
2. 95% of the observations lie within two standard
deviations of the mean
3. 99.7% of the ob
Table IV
C19
Standard Normal Distribution Table
Table IV Standard Normal Distribution Table
The entries in this table give the
cumulative area under the standard
normal curve to the left of z with the
values of z equal to 0 or negative.
z
z
z
0
.00
.01
.0
Chapter 6. The Normal Probability
Distribution
A continuous random variable is usually associated with
measurement, and can take on any value in some interval.
(Think of a discrete random variable whose range of values
becomes denser and denser.)
Examples
Chapter 5.1-5.3
THE RANDOM VARIABLES AND THEIR
PROBABILITY DISTRIBUTIONS
Each year, the Centers for Disease Control and
Prevention recommend a flu shot for certain
groups of people who are classified as at risk
for serious complications from the most
comm
Exercise
Suppose that prevalence rate for a disease is
0.005.
A diagnostic test has been developed which has a
false positive rate of 0.01 and false negative
rate of 0.02.
a)
b)
A person is selected at random and is given the
test What is the probability
CH 7.6 POPULATION AND SAMPLE
PROPORTIONs
Many surveys and experiments are
conducted in order to estimate a population
proportion, the true fraction of individuals or
objects that exhibit a specific characteristic.
For example: pollsters routinely estima
Chapter 4
Remember the objective:
Population
Probability
Probability (part 1)
Probability
Sample
Describethe
sampledata
Computemeasuresof
variability
1
1. Probability and statistics are both related to a
sample and a population.
2. Probability: certain p
Chapter (8.1-8.2 )
Confidence interval for a population
mean.
Statistical inference-drawing conclusions about population
parameters from an analysis of the sample data.
Types of inference:
1. estimation of parameter(s) -obtain an estimate of the unknown
t
a
c
h
i
s
a
b
o
u
n
d
a
r
y
Suppose that the birth weights of 100 babies are recorded
Recall: The total area under the histogram is 1.
Chapter 6.1 The Normal Probability Distribution
6.1 A continuous random variable is usually associated with
measurement,
Measures of central tendency (ungrouped
data)
Chapter 3.1, 3.2
Numerical descriptive measures
Graphs provide a global/qualitative description of
a sample, but they are imprecise for use in
statistical inferences.
We use numerical measures which can be
cal
Example 1
Consider the following two events for a randomly selected
adult:
Y = this adult has shopped on the Internet at least once
N = this adult has never shopped on the Internet
Are events Y and N mutually exclusive?
Chapter 4.5- 4.9 Probability , part
GMAT305Statistics01
Group
Project
By Tatiana Filipovich
Anwar Wallace
A late employee can cause an effect to productivity in
the workplace.
Late employees, especially those who come in late
often, impact multiple areas of the business, including
other emp
Chapter 2.
Organizing and graphing data.
Graphing data is the first and often most
important step in data analysis
The following handout discuss common graphs
for qualitative and quantitative variables.
*
Example 1
In 1969 the war in Vietnam was at its he
Supplemental Study Questions for the Final Exam (to be
combined with all previous study questions)
4*.1. Give short, concise definitions of the following:
a. Rent seeking behavior Refers to the use of resources
(generally by firms but could also be by con
Answers to Quiz 3 Study Questions
3.1. Give short, concise definitions of the following:
a. profit The difference between Total Revenue and Total Cost (shortrun or long-run as the case may be).
b. normal profit Refers to the zero profit that is earned whe
Answers to Quiz 4 Study Questions
4.1. Give short, concise definitions of the following:
a. general equilibrium The entire model of the micro-economy is at
general equilibrium at
(i) quantities of final goods and labor hours for each consumer,
(ii) quant