BSTAT 3321-001
Spring - 2016
Printed Name _
MIDTERM 1 EXAM
Do not open exam until told to do so.
When you are finished with the test, turn in both your cheat sheet and this test. Be sure to
put your NAME on both documents.
You may use a calculator, but yo
BSTAT 3321 Final Exam Review
Chapter 16 Regression (about 6 questions):
1) Know your vocabulary such as
- Independent and dependent variable
- intercept and slope
- testing the slope
- Coefficient of determination
- Assumptions (LINE)
- Predict value of y
BSTAT 3321 Extra Credit Quiz
1. A professor of linguistics refutes the claim that the average student spends 3 hours studying for
the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test
the claim?
a.
c.
H0: = 3 vs. H
Quiz
1. Random samples of size 49 are taken from an infinite population whose mean is 300 and standard
deviation is 21. The mean and standard error of the sample mean, respectively, are:
a. 300 and 21
c. 300 and 0.43
b. 300 and 3
d. None of these choices.
id
variable
measure observationInd Factor Levels
NumLevels
1 age
Young, Middbuyers
education lless than c
3
2 Origin of CaForeign vercars
types of carSUV, Pickup
3
3 cost
Low, Middletrips
weather con
rainy, foggy
4
4 sales
> , < , or =LCD panelsbrands
A,
id
variable
1 age
2 mpg
3 cost
4 sales
5 price
6 height
id
66
Dfnum
2
var
height
DfDen
15
measure
years
miles
dollars
dollars
dollars
inches
mea
inches
dfTotal
17
observation Factor
Levels
NumLevels
buyers
education leless than co
3
cars
types of car SUV,
Multiple regression model building: transformation, bootstrapping, influence, multicollinearity, model building
Transformation-Dependent variable: dependent variable not satisfy the normality and equal variance assumption,
possible transformation include
Can you conclude that the proportion of LCD panels in the following categories
(> , < , or = to last year price) differs among the brands
(A, B, or C)?
You took independent random samples
from each level of brands
You are given that the chi-square test st
(professor Mark Eakin)
Radom sampling will eliminate bias and reduce error. Sample mean not equal population mean, tend be error.
Stand Error / n probability lower any unlikely number and above % always wrong
stand error of population
stand error of sampl
A recent survey shows that the probability of a college student drinking alcohol is 0.6. Further, given that the
student is over 21 years old, the probability of drinking alcohol is 0.8. It is also known that 30% of the college
students are over 21 years
Basic Statistical Tools
Practice Problem
Probability Calculators
Discrete Probability Calculator
Continuous Probability Calculator
Probability Calculators
Single Mean and Single Variance (Standard Deviation)
Single Mean and Single Va
Confidence Limits for
Inferential Statistics[As compared to Descriptive Statistics]
Understanding the following picture will help you
understand most of the statistical structures we study in
this course!
1
Inferential Statistics [As compared to Descriptive Statistics]
There
The Statistical Tables
The tables that you will need in this course
and DSCI 3710 are available as a single PDF file
on the DSCI 2710 website (shown on the next
slide)
Save and print this file (at home, not in the
UNT computer lab)
Bring the appropriat
The Blackboard Textbook
The hard-copy textbook has a card inside the cover
containing an access code
This code will allow you to obtain access to the
Cengage material inside Blackboard.
With this account, you can
view the Blackboard textbook
have acc
Excel Data Sets
If a textbook example or exercise has an
accompanying data set, there will be link in
the Blackboard eBook to this data set
After clicking on the link, save the data set on
your hard drive
This will be illustrated in the next three slid
Basic Statistical Tools
Practice Problem
Probability Calculators
Discrete Probability Calculator
Continuous Probability Calculator
Probability Calculators
Single Mean and Single Variance (Standard Deviation)
Single Mean and Single Va
Confidence Limits for
Chapter 9 Learning Objectives (LOs)
LO 9.1 Define the null hypothesis and the alternative
hypothesis.
LO 9.2 Distinguish between Type I and Type II
errors.
LO 9.3 Conduct a hypothesis test using the p-value
approach.
LO 9.4 Conduct a hypothesis test using
Plot a time series plot
for my monthly
electric bills
Monthly Electric Bills
Month
J
F
M
A
M
J
J
A
S
O
N
D
J
F
M
A
M
J
J
A
S
O
N
D
Bill
123.65
156.28
161.88
165.49
176.79
186.47
194.02
195.21
182.01
176.36
167.31
166.07
138.68
152.16
164.99
187.28
193.66
Inferential Statistics[As compared to Descriptive Statistics]
Understanding the following picture will help you
understand most of the statistical structures we study in
this course!
1
Inferential Statistics [As compared to Descriptive Statistics]
There
Probability Evil but Necessary!
How would you estimate the probability
your automobile gets you home tonight?
How would you estimate the probability
you actually have drugs in your system
given a drug test is positive?
How would you estimate the probab
Discrete Probability Distributions
1
Given a discrete random variable, X , where the discrete probability distribution for X is
given on right, calculate E(X)
a.
2.000
b.
0.200
c.
2.100
d.
1.890
2
Given a discrete random variable, X , where the discrete p
1
BSTAT 3321 Test 1 Spr 2014
NAME:_
Show all work. Do not use laptops or cell phones [place on floor, pocket, or purse]. You are allowed to
have 2 formula sheets and a calculator (not a cell phone). You have a maximum of 1 hour and 20
minutes to complete
Identify the following variables as [Numerical : Continuous OR Discrete] or [Categorical: Nominal OR Ordinal], AND give examples of at least 2 values for that variable. Example: Time to complete this test Answer: Numerical, continuous
(1.48 hours, 1.12 ho