Statistics
Chapter 2 Methods for Describing Sets of Data Part 1
Chap 2-1
Data
Chap 2-2
Data Types
Data
Qualitative (Categorical)
Examples:
Quantitative (Numerical)
Marital Status Political Party Eye Color (Defined categories)
Discrete
Examples:
Contin
1
MID-TERM EXAM # 2(Practice)
Prof. Deoki N. Sharma
211 Statistics 1
Name: _
Net ID#
Date: _
NOTE: PLEASE READ CAREFULLY, SHOW KEY STEPS IN YOUR WORK.
1. A surgical technique is performed on seven patients. You are told there is a
70% chance of success. F
Chapter 6
Statistics 285
Sample Problems
6.12
Corporate sustainability of CPA firms. Corporate sustainability refers to
business practices designed around social and environmental
considerations, Refer to the ability behaviors of CPA corporations, Exercis
Sample Problems
Chapter 4
4.14
4.14 Explain why each of the following is or is
not a valid probability distribution for a
discrete random variable x.
4.14 Solution
4.17
Consider the probability distribution shown here:
a. Calculate the , 2 and .
b. Grap
8.2
Population 1
Population 2
8.2 Solution
8.8
8.8 Solution
8.15
Homework assistance for accounting students. How much assistance should
accounting professors provide students for completing homework? Is too
much assistance counterproductive? These were s
Chapter 7
Sample Problems
Statistics 285
7.5
List the four possible results of the
combinations of decisions and true states of
nature for a test of hypothesis.
7.5 Solution
7.6
We reject the null hypothesis when the test
statistic falls in the rejection
Syllabus Stat 285 Spring 2010A A. Course: 960:285:02, Statistics for Business- Section 02 B. Prerequisites: 01:640:115 or equivalent. Credit not given for more than one of 01:960:201, 211, 285, and 401. C. Meeting Times: Monday/Thursdays 12:00-1:20 PM D.
Statistics
Chapter 4 Random Variables and Probability Distributions Sampling Distributions Sections 4.10-4.11
Chap 7-1
Chapter Goals
After completing this chapter, you should be able to:
Define the concept of sampling error Determine the mean and standa
Statistics
Chapter 4 Random Variables and Probability Distributions - Continuous Sections 4.5-4.8
Chap 6-1
Probability Distributions
Probability Distributions Discrete Probability Distributions Binomial Poisson Hypergeometric Continuous Probability Distri
Statistics
Chapter 4 Random Variables and Probability Distributions Discrete Sections 4.1-4.4
Chap 5-1
Introduction to Probability Distributions
Random Variable Represents a possible numerical value from a random event Takes on different values based on c
Statistics:
Chapter 3 Probability
Chap 4-1
Important Terms
Probability the chance that an uncertain event will occur (always between 0 and 1) Experiment a process of obtaining outcomes for uncertain events, e Experimental Outcome the most basic outcome po
Statistics:
Chapter 2 Methods for Describing Sets of Data Part 2
Chap 3-1
Shape of a Distribution
Describes how data is distributed Symmetric or skewed Symmetric Right-Skewed
Left-Skewed
Mean < Median
(Longer tail extends to left)
Mean = Median
Median <
7. Employees at a construction and mining company claim that the mean salary of the
companys mechanical engineers is less than that of the one of its competitors, which is
$68,000. A random sample of 30 of the companys mechanical engineers has a mean
sala