Audience

Business managers, business analysts, and researchers who need to be familiar with methods of data collection and analysis

Prerequisites

Basic math and algebra

Course Aim

To introduce the learner to effective sampling, sample proportions, sample means, confidence interval for a population proportion, and confidence interval for a mean

Learning Objectives

Identify different types of sampling. Define sampling bias. Identify types of sampling bias. Identify sampling distributions. Explain the sampling distribution of sample proportions. Explain the sampling distribution of sample means. Estimate the margin of error for a survey. Understand what confidence intervals signify. Determine the sample size required to estimate a population proportion with desired precision. Calculate margin of error and estimate sample sizes for desired precision. Calculate a confidence interval for a large sample. Calculate the sample size for a mean. Calculate confidence intervals for small sized samples using the t-distribution. Construct a small sample confidence interval.

Topics Covered

Sampling Defined - Methods of sampling - Bias in sampling - Hands-on: Identifying bias Sampling Distributions - How to find a sampling distribution - Distribution of sample proportions - Distribution of sample means - DecisionPath: Conducting a survey Confidence Interval for a Proportion - Margin of error for a sample population - How to interpret confidence intervals - Sample size for a proportion - Hands-on: Determining sample size Confidence Interval for a Mean - Large sample confidence interval - Sample size for a mean - The t-distribution - Small sample confidence interval

| About Eno.com | Security&Privacy | Contact Us |
Copyright © 1998-2001 E&A Inc.. All rights reserved.