What is data?
Elements: the entities on which the data re collected
Variables: the characteristics of interest. This is not to be confused with a random variable that we will
discuss in Ch. 4 and 5.
Observations: the measurement collected on each variable
7.4 7.5
Finite set number of population
Infinite sample is the entire population of the U.S. or any country
Point estimator: statistical numbers on the sample that try and represent the population
The standard deviation of x bar will be less than the stan
Sample statisticsmeasures that are computed from a sample. These are referred to as sample
statistics
Population parametersmeasurements from a population
Point estimateinference made about a population based on a sample. For example, a sample
mean is a p
What is data?
Elements: the entities on which the data re collected
Variables: the characteristics of interest. This is not to be confused with a random variable that we will
discuss in Ch. 4 and 5.
Observations: the measurement collected on each variable
Module 4 and 5 Lecture Notes Final Exam
Chapter 10 Lecture Notes
Inferences about the Difference Between Two Population Means when the population
standard deviations are known
Background Information: Population Samples
For this concept, we are attempting
Chapter 1 Lecture Notes
Introduction Notes
Section 1.1 Applications in Business and Economics
Accounting: accounting firms use statistical sampling procedures when conducting audits
Economics: use statistical information in making forecasts about the futu
Chapter 4 Lecture Notes
Introduction to Probability
Probability: a numerical value that measures the likelihood that an uncertain event occurs. This
value is between 0 and 1 with 0 being no chance an even will occur and 1 being certainty of an
event
Proba
Chapter 3 Working with Financial Statements
1.
Activities of a firm which require the spending of cash are known as:
A. sources of
cash.
B. uses of
cash.
C. cash
collections.
D. cash
receipts.
2.
E. cash on
hand.
The sources and uses of cash over a stated
1 Green Roof Motels has more cash on hand than its operations require.
. Thus, the firm has decided to pay out some of its earnings in the form of
cash to its shareholders. What are these payments to shareholders
called?
A. dividen
ds
B. stock
payments
C.
Chapter 7 Pretest
1.
Question 1
Whenthepopulationhasanormaldistribution,thesamplingdistributionofxisnormallydistributedfor
anysamplesize.
True
False
10 points
Question 2
1.
As the sample size increases, so too does the standard error of the mean.
True
Fal
Chapter 1
Property a thing that can be owned
2
Property Types
Mobility dimension
Real property land and its permanent structures
Personal property (chattel) all other property
Physicality dimension
Tangible physical things
Land, buildings
Intangible non-p
Chapter 2
To construct a pie chart using Excel's Chart Tools, choose _ as the chart type.
Data that provide labels or names for groupings of like items are known as
Question 3
0 out of 10 points
To construct a bar chart using Excel's Chart Tools, choose
Financial Management of the Firm
What is a firm?
- Business organization, Company
- Collection of assets to be used in production
Types of Business Organization
Sole Proprietorship business owned by one person
Partnership unincorporated business with mult
Statistics
1.3 Sources of Data
Existing Sources
o Internal company records- almost any department
o Business database services- Dow Jones & Co
o Government agencies- US dept of labor
o Industry associations- Travel industry association of America
o Speci
Chapter 5.1-5.3
Discrete Probability Distributions
Section 5.1 Random Variable
A random variable- a numerical description of the outcome of a random experiment
In effect, a random variable summarizes the results of a random experiment in terms of
numeri
Exam 1
Chapter 1
1.1 Applications in Business
Accounting, economics, finance, marketing, production, information systems
1.2 Data
Data: the facts and figures that are collected, analyzed, and summarized for presentation
and interpretation
o Total #: elem
Lets continue with Chapter 3, Descriptive Statistics: Numerical
Measures.
In this video, we will cover Section 3.3 Measures of Distribution Shape,
Relative location, and detecting outliers
1. The first concept to discuss is distribution shape, also known
Lets complete our work in Chapter 3, Descriptive Statistics: Numerical
Measures by reviewing Section 3.5. We will not be covering Section
3.6, which are creative alternatives to graphically display your data.
Section 3.6 is a fun area, so I would suggest
Section 2.1. Summarizing Data for a Categorical Variable.
Some early definitions:
Frequency Distribution: tabular summary of data showing the number of
observations in each of several non-overlapping categories or classes.
Where these data fall between th
Exam 3
Chapter 10 overview
Comparisons Involving Means, Experimental Designs and Analysis of Variance
In Chapter 10, we continue the discussion of statistical inference by showing how interval
estimates and hypothesis tests can be conducted for two popul
QMB Exam 1
Chapter 1
Data sources
o `If data is not readily available, then you may have to do:
Observational studies. Observe and record what is happening.
Experiment. This is an observational study under controlled conditions.
Surveys.
The above hav
Section 1.2
Data
What is data?
Since statistics is the communication with
numbers, what are the numbers?
Data are the numbersthe facts and figures
that are collected, analyzed and summarized
for presentation and interpretation. Not all
data start out as
QMB 3200
Chapter 1
Introduction
Chapter 1 Learning Objectives
Section 1.1Applications in Business and Economics.
Obtain an appreciation for the breadth of statistical applications in business and economics.
Section 1.2Data.
Understand the meaning of t
Descriptive Statistics
Tabular and Graphical
Displays
Chapter Two
Overview
Chapter Two Learning Objectives
Learn how to construct and interpret graphical presentations for
qualitative data such as:
frequency and relative frequency distributions, bar gra
Experimental Design and
Analysis of Variance
(ANOVA)
Sections 10.4 and 10.5
An Introduction to Experimental Design
and Analysis of Variance
Statistical studies can be classified as being either
experimental or observational.
In an experimental study, on
Inferences about the difference
between two population means:
and unknown.
Section 10.2
Interval Estimation of 1 - 2:
1 and 2 Unknown
When 1 and 2 are unknown, we will:
use the sample standard deviations s1 and s2 as estimates
of 1 and 2 , and
replace
Inferences About the
Difference Between Two
Population Proportions
Section 11.1
Inferences About the Difference
Between
Two Population Proportions
Interval Estimation of p1 - p2
Hypothesis Tests About p1 - p2
Inferences About the Difference
Between
Two
Testing the Equality of
Population Proportions for
Three or More Populations
Section 11.2
Tests are conducted using a Chi
Square () test statistic
What
is Chi-Square ()?
The chi-square test is a statistical test that can be used to determine whether
obs