audit:
auditor or auditee
third-party audit you
tax auditing (both profitabe and nonprofitable organization) (3)
1. sales tax: a review to ensure the bookkeeping is in place (profitable&non-profitable)
ex: a store selling product will be charged by tax
Go
management accounting
role for accounting:
help decisions for both internal and external
External users:
type of decisions: should I invest/lend?
information needs:
1. differ across users, can't feed everybodys need
2. not cost effective
3. confidentialit
Exam: 75 questions 15 TF 60MC
Scantron
Monday Tuesday Wednesday
Accounting information system:
How do i recoed how much i bought?
Depends on the size of business, decides detail and how cpmplex
Simple eole, comples, walmart
Economic event change the value
Statistical Science 1024
Chapter 10
Introducing Probability
Chapter Overview
Probability
Probability models and rules
Finite and discrete probability models
Continuous probability models
Random variables
The idea of probability
Long-run Frequencies:
Statistical Science 1024
Chapter 18
Inference about a Population Mean
Chapter Overview
Conditions for inference about a mean
t distribution
The one-sample t confidence interval
Matched pairs t procedure
Robustness of t procedure
Known Standard Deviat
Statistical Science 1024
Chapter 5
Regression
Chapter Overview
Regression Line
Least-square regression and its properties
Residuals and Residual plots
Influential observations
Cautions about correlation and regression
Association and causation
Revie
Statistical Science 1024
Chapter 11
Sampling Distributions
Chapter Overview
Parameters and statistics
Statistical estimations and Law of Large Numbers
Sampling distributions, i.e. sample average
The Central limit theorem
Parameters and Statistics
The
Statistical Science 1024
Chapter 21
Comparing Two Proportions
Chapter Overview
Two-sample problems: proportions
The sampling distribution of a difference between
proportions
Large-sample confidence intervals for comparing
proportions
Accurate confiden
Statistical Science 1024
Chapter 12
General Rules of Probability
Chapter Overview
General addition rule
Independence and multiplication rule
Conditional probability
General multiplication rule
Tree diagram
Basic probability rules
Everything in this
Statistical Science 1024
Chapter 15
Tests of Significance: The Basics
Chapter Overview
The reasoning of test of significance
Stating hypotheses
p-value and statistical significance
Tests for a population mean
Note: We will assume the simple conditions
Statistical Science 1024
Chapter 16
Inference in Practice
Chapter Overview
Conditions for inference in practice
Cautions about confidence intervals
Cautions about significance tests
Sample size for confidence intervals
The power of a statistical test
Statistical Science 1024
Chapter 20
Inference about a Population Proportion
Chapter Overview
The sample proportion
Large-sample confidence intervals for a population
Accurate confidence intervals for a proportion
Choosing the sample size
Significance
Statistical Science 1024
Chapter 14
Confidence Intervals: The Basics
Chapter Overview
The reasoning of statistical estimation
Margin of error and confidence interval
Confidence intervals for population mean
How confidence intervals behave
Statistical
Statistical Science 1024
Chapter 6
Two-Way Tables
Chapter Overview
Two-way table
Marginal distribution
Conditional distribution
Simpsons paradox
Two way table
Describe relationship between two categorical
variables
Use the counts or percentage or pr
Statistical Science 1024
FINAL REVIEW
First Half
Ch1: Picturing distributions with graphs
Ch2: Describing distributions with numbers
Ch3: The Normal distribution
Ch4: Scatterplots and Correlation
Ch5: Regression
Ch6: Two-way Tables
Ch8: Producing data: sa
Statistical Science 1024
Chapter 19
Two-Sample Problems
Chapter Overview
Two-sample problems
Comparing two sample means
Two-sample t procedure
Robustness
Some other remarks
Two sample problem
Matched pairs samples is covered in previous chapters. Th
Statistical Science 1024
Chapter 12
General Rules of Probability
Two events are disjoint if they
have no outcomes in common
Events A
and B are
disjoint.
and can never happen together.
Events A and
B are NOT
disjoint.
If you flip a coin once, it may turn o
Statistical Science 1024
Chapter 4
Scatterplots and Correlation
In many studies, the goal is to show that changes in or more explanatory
Variables cause changes in a response variable
Example: number of beers consumed and the percent of alcohol in the
blo
Statistical Science 1024
Chapter 3
The Normal Distribution
Sometimes the overall pattern of a large number
of observations is so regular that we can
describe it by a smooth curve
Example Data: Heights of 3000 Criminals
distribution
of heights of
3000
cr
Statistical Science 1024
Chapter 6
Two-Way Tables
Categorical Variables
2
Review: Categorical Variables place individuals into one of several
groups or categories.
The values of a categorical variable are labels for the different
categories.
The distribut
Statistical Science 1024
Chapter 10
Introducing Probability
Why studying probability?
You randomly sampled 1000 people to
estimate the percentage of people who will
vote for Trump.
I also randomly sampled 1000 people to
estimate the percentage of people
Statistical Science 1024
Chapter 5
Regression
Origin of the Term Regression
Francis Galton, 1886,
Regression towards
mediocrity in hereditary
stature. Journal of the
Anthropological Institute,
15: 246 263
See JSTOR under UWO
library databases
Regression
Statistical Science 1024
Chapter 9
Producing Data: Experiments
Confounding: A Common Problem with
Observational Studies
Example
want to compare pay levels between two types
of jobs: inside workers and outside workers
the inside workers evaluated turn ou
Statistical Science 1024
Chapter 2
Describing Distributions with Numbers
Henry Cavendish (1731 1810)
British scientist
carried out wide-ranging
scientific studies that
included
chemistry
electricity
physics
astronomy
Cavendish Laboratory for
physics at
Statistical Science 1024
Chapter 8
Producing Data: Sampling
Surveys
take a sample from a larger population
interview or obtain responses from every
unit in the sample
based on the sample results make
inferences about the larger population
Population, S
Observational study
Observational studysurvey
How to ensure that your sample represents
the population wellhow to reduce bias
Randomization(SRS)
Stratifying
Even with randomization, one still needs to
keep in mind possible problems caused by
Underco
Statistical Science 1024
Chapter 1
Picturing Distributions with Graphs
Figure 1.1
A spreadsheet displaying data from the American Community Survey, for Example 1.1.
Individuals and Variables
Any set of data contains information about some group of individ
Statistical Science 1024
Chapter 4
Scatterplots and Correlation
Chapter Overview
Explanatory and response variables
Scatterplots and interpretation
Categorical variable in scatterplots
Correlation and its properties
Explanatory and Response Variable