Fall 2009
ISDS 2000 Exam 3
Instructions
The exam consists of 30 multiple-choice questions.
Please read carefully each question.
1
Fall 2009
1) The outcome of hypothesis testing is used to inform a decision relative to the null
hypothesis. The following st
ISDS 2000 Exam 2
Instructions
The exam consists of 30 multiple-choice questions.
Please read carefully each question.
Please use your scantron sheet to answer the questions.
Extra blank sheets of paper are available in the event you run out of space.
Agre
ISDS 2000 SAMPLE TEST 1
1.
The process of using sample statistics to draw conclusions
about the population parameters is called
a. statistical reference
b. scientific method
c. sampling
2.
calculating a sample mean
estimating a population parameter
all of
ISDS 2000 SAMPLE TEST 1
1.
The process of using sample statistics to draw conclusions
about the population parameters is called
a. statistical reference
b. scientific method
c. sampling
2.
calculating a sample mean
estimating a population parameter
all of
ISDS2001SyllabusFall2014
ISDS 2001 STATISTICAL METHODS AND BUSINESS ANALYTICS II
Instructor:
Best contact:
ISDS Office:
Joni Matherne Catanzaro
Instructor of Information Systems and Decision Sciences (ISDS)
Email [email protected]
2230 BEC, Phone: 225-578-2501
TEST 3 STUDY GUIDE CHAPTER 8 1. 2. Understand that there are two types of estimates. Know how to calculate an interval estimate for the population mean when is known. Know how to calculate an interval estimate for the population mean when is unknow
Sample Test: Business Statistics Semester 2, 2004
PLEASE NOTE: THIS IS A GUIDE ONLY.
NO ANSWERS AVAILABLE.
1.
According to the empirical rule, if the data form a "bell-shaped"
normal distribution, _ percent of the observations will be
contained within 2 s
ISDS 2000 SAMPLE TEST 1 1. The process of using sample statistics to draw conclusions about the population parameters is called a. b. c. d. e. 2. statistical reference scientific method sampling descriptive statistics none of the above E. (inferenti
CHAPTER 7 Homework
CONTINUOUS PROBABILITY DISTRIBUTIONS
SECTION EXERCISES
7.1 d/p/e Discrete probability distributions can be expressed as histograms where the height of the
vertical bars is the probability for the various values that the random variable
ISDS 2000 SAMPLE TEST 3
According to Eric Schlosser, author of the best-selling book, Fast-Food Nation, 90%
of American children between the ages of three and nine visit a fast food restaurant
at least once per week. To show that ISDS 2001 students differ
II. Chapter 2: Tabular and Graphical Methods
(Organizing and Visualizing Data)
Objectives:
1.
Recognize which summaries are used for numeric
data or for qualitative data.
2. Construct a frequency table, bar graph and pie
chart for qualitative data.
3. Con
I. Chapter 1: Introduction
A. The Relevance of Statistics (1.1)
1.
Statistics Avoidance and Misconception:
Statistics deals with outrageous
formulae and tedious calculations that
have no use in real life.
2.
Statistics provides a means of using
numbers to
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ISDS 2000: INTRODUCTION TO BUSINESS STATISTICS
Fall 2014
Instructor:
Mr Asim Shrestha
Office: 2400 C Business Education Complex, [email protected]
Office Hrs: MW 2:30-4:00, other times by appointment
Course Objective:
In this course you will learn ho
ISDS 2000 - TEST 2 STUDY GUIDE
1.
2.
3.
4.
5.
6.
7.
Understand the reason for taking a sample as opposed to a census.
Know the definition of probability and non-probability sample.
Recognize that probability sampling is necessary when making statistical i
ISDS 2001 Sample Test 1
Additional Hypothesis Testing
Problems
Directions: Read each
question carefully. Provide
the correct answer and
include all work where
applicable.
Problem 1: The average length of a
work week for the population of
U.S. workers is
Confidence Interval Estimation
Confidence Interval Estimate for the population Mean ():
is Known Use Z-table
is Unknown Use t-table
Level of Confidence
In practice is unknown
In practice is unknown
If the population standard deviation is unknown we can
FORMULA SHEET EXAM #1
ISDS 2000, Sections 01 & 02
Instructor: R. Cope, Fall 2016
Width of Class =
L arg est Smallest
# Classes
; Relative Frequency =
frequency
n
where n = sample size
For Populations:
N
=
X
2
(x
)
2=
N
i
i 1
N
= 2
For Samples:
n
X=
X
i 1
FORMULAE SHEET EXAM #2
ISDS 2000 Sections 01 & 02
Instructor: R. Cope, Fall 2016
CHAPTER 7: SAMPLING DISTRIBUTIONS:
X
X
Z
x
=
n
n = total sample size
p p
z
p
p
p (1 p )
n
Finite Correction Factor
N n
N1
Control Limits = Expected Value +/- (3 * Standard
ISDS 2000 SAMPLE TEST 2
1.
Which of the following is an element of inferential statistical
problems?
a.
b.
c.
d.
e.
2.
Suppose I administer a survey to students who show up for class
and ask the question, Have you ever cheated on an exam?
Which of the fol
Chapter 14: Multiple Linear Regression
I. Introduction
A. In Chapter 13, we considered simple linear
regression. In particular, we had one
explanatory/independent variable (X) for
purposes of predicting one
response/dependent variable (Y).
B. In real life
ISDS 2000 FORMULAE SHEET TEST 2
CHAPTER 7: SAMPLING DISTRIBUTIONS:
X
Z
x
X
=
n
n = total sample size
(1 )
p
n
p
z
p
CHAPTER 9: HYPOTHESIS TESTING:
Z
=
X o
n
t =
X o
s
n
df = n - 1
p 0
z
0 (1 0)
n
Revised22314
Page1
ISDS 2000 SAMPLE TEST 3
According to Eric Schlosser, author of the best-selling book, Fast-Food Nation, 90%
of American children between the ages of three and nine visit a fast food restaurant
at least once per week. To show that ISDS 2001 students differ
c.
Chapter 3: Numerical Descriptive
Measures
Objectives:
1. Calculate and describe the characteristics of
the measures of center.
2. Calculate and describe the characteristics of
the measures of dispersion/variation.
3. Describe data in terms of center, v
CHAPTER 6: CONTINUOUS
PROBABILITY DISTRIBUTIONS
Objectives:
1. Be able to identify the characteristics
of a normal distribution.
2. Understand that a standard normal
distribution is one having a mean of 0
and a standard deviation of 1.
3. Understand how t
CHAPTER 6: CONTINUOUS
PROBABILITY DISTRIBUTIONS
Objectives:
1. Be able to identify the characteristics
of a normal distribution.
2. Understand that a standard normal
distribution is one having a mean of 0
and a standard deviation of 1.
3. Understand how t
FINAL EXAM Study Guide
DESCRIPTIVE STATISTICS (Test 1) approx 9 questions
1.
2.
3.
4.
5.
6.
7.
8.
Know the difference between descriptive statistics and inferential statistics.
Know the difference between population parameter and sample statistic.
Recogni
Exam 3 Answers
Instructions
The exam consists of 30 multiple-choice questions.
Please read carefully each question.
1
1) The outcome of hypothesis testing is used to inform a decision relative to the null
hypothesis. The following statements are likely de
ISDS 2000 SAMPLE TEST 1
1.
The process of using sample statistics to draw conclusions
about the population parameters is called
a. statistical reference
b. scientific method
c. sampling
2.
calculating a sample mean
estimating a population parameter
all of