Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Course Guideline for Exam - Business Statistics | BUS 271, Exams of Business Statistics

Material Type: Exam; Class: Business Statistics I; Subject: Business; University: Jefferson State Community College; Term: Unknown 2008;

Typology: Exams

Pre 2010

Uploaded on 08/16/2009

koofers-user-0gt
koofers-user-0gt 🇺🇸

5

(1)

10 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Date Adopted:
Date Reviewed: January 2008
Date Revised: January 2008
BUS 271 – Business Statistics I
I. BUS 271 – Business Statistics I – 3 Semester Hours
II. Course Description
This is an introductory study of basic statistical concepts applied to economic and business problems.
Topics include the collection, classification, and presentation of data, statistical description and
analysis of data, measures of central tendency and dispersion, elementary probability, sampling,
estimation, and introduction to hypothesis testing.
III. Prerequisite
Math 112
IV. Textbook
Textbook: Statistical Techniques Business and Economics (Current Edition)
Publisher: McGraw
Authors: Lind
V. Course Objectives
1. The student will develop an understanding of the term statistics.
2. The student will understand why and how descriptive statistics used.
3. The student will understand the role probability plays in statistics.
4. The student will learn the concept of probability distribution.
5. The student will be able to appreciate the importance of sampling.
6. The student will learn how results from samples can be used to provide estimates of
population characteristics such as population mean, the population variance and the
population proportion.
7. The student will learn how to formulate and test hypotheses about a population mean and
a population proportion.
VI. Course Outline of Topics
1. The student will develop an understanding of the term statistics. The student will:
a) define statistics.
b) define and distinguish between a population and a sample.
c) work mathematical problems involving:
1) fractions
2) equations
3) inequalities
4) subscriptions
5) summations
6) factorial
2. The student will understand why and how descriptive statistics are used.
The student will:
a) define the term data.
b) define and classify variables as either discrete or continuous.
c) define and classify variables as either quantitative or qualitative.
3. The student will construct and interpret tabular summarization procedures for quantitative
data such as:
a) frequency and relative frequency distributions.
b) cumulative frequency and cumulative relative frequency distributions.
pf3

Partial preview of the text

Download Course Guideline for Exam - Business Statistics | BUS 271 and more Exams Business Statistics in PDF only on Docsity!

Date Adopted: Date Reviewed: January 2008 Date Revised: January 2008 BUS 271 – Business Statistics I I. BUS 271 – Business Statistics I – 3 Semester Hours II. Course Description This is an introductory study of basic statistical concepts applied to economic and business problems. Topics include the collection, classification, and presentation of data, statistical description and analysis of data, measures of central tendency and dispersion, elementary probability, sampling, estimation, and introduction to hypothesis testing. III. Prerequisite Math 112 IV. Textbook Textbook: Statistical Techniques Business and Economics (Current Edition) Publisher: McGraw Authors: Lind V. Course Objectives

  1. The student will develop an understanding of the term statistics.
  2. The student will understand why and how descriptive statistics used.
  3. The student will understand the role probability plays in statistics.
  4. The student will learn the concept of probability distribution.
  5. The student will be able to appreciate the importance of sampling.
  6. The student will learn how results from samples can be used to provide estimates of population characteristics such as population mean, the population variance and the population proportion.
  7. The student will learn how to formulate and test hypotheses about a population mean and a population proportion. VI. Course Outline of Topics
  8. The student will develop an understanding of the term statistics. The student will: a) define statistics. b) define and distinguish between a population and a sample. c) work mathematical problems involving:
  1. fractions
  2. equations
  3. inequalities
  4. subscriptions
  5. summations
  6. factorial
  1. The student will understand why and how descriptive statistics are used. The student will: a) define the term data. b) define and classify variables as either discrete or continuous. c) define and classify variables as either quantitative or qualitative.
  2. The student will construct and interpret tabular summarization procedures for quantitative data such as: a) frequency and relative frequency distributions. b) cumulative frequency and cumulative relative frequency distributions.
  1. define and compute measures of location: a. mean b. median c. mode
  2. compute measures of dispersion: a. range b. variance c. standard deviation
  1. The student will understand the role of probability plays in statistics.
  2. The student will be able to define probability.
  3. The student will be able to measure probability of discrete and continuous variables. The student will: a) be able to name and apply the laws of probability as they relate to variables.
  4. The student will learn the concepts of a probability distribution. The student will: a) be able to solve problems using the binomial distribution. b) be able to solve problems using the normal distribution. c) compute and interpret expected value. d) revise initial (prior) probability estimates based on new information. e) use the normal distribution as an approximation of the binomial probabilities.
  5. The student will be able to appreciate the importance of sampling. The student will: a) define sampling. b) define random sampling. c) define and differentiate between a parameter and a statistic. d) be able to relate the concept of a sampling distribution to a statistic. e) calculate the sample mean and sample proportion.
  6. The student will learn how results from samples can be used to provide estimates of population characteristics such as the population mean, the population variance and the population proportion. The student will: a) define statistical inference. b) define point estimator and confidence interval. c) calculate a point estimate and construct a confidence internal for the following parameters: 1) mean 2) population d) be able to determine the size of a simple random sample necessary to estimate a population mean and/or a population proportion with a specified level of precision. e) be able to use the “t” distribution in constructing an interval estimate of a population mean.
  7. The student will learn how to formulate and test hypotheses about a population mean and a population proportion. The student will: a) be able to summarize the steps in hypotheses testing. b) define Type I and Type II errors. c) be able to determine the probability of making Type I and Type II errors. d) be able to calculate (test) and to evaluate hypotheses about: 1) mean 2) proportions 3) variances (one-trial and two-trial tests)