Confidence intervals and sample sizes estimations

Learn confidence intervals and determining sample sizes in statistics
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112 students enrolled
Instructed by Luc Zio Academics / Social Science
$50
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  • Lectures 30
  • Contents Video: 2 hours
    Other: 13 mins
  • Skill Level Intermediate Level
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 1/2014 English

Course Description

Calculating confidence intervals and determining sample sizes is an important topic of statistical inference. This is one of the most practical areas of statistics that allows the student to learn the concepts and apply them to real world situations.

This course explains the concepts in an easy to understand way. This is reinforced with fully solved and explained problems to highlight all the important details the student needs to pay attention to. In addition, the student will have the opportunity to take selected quizzes that serve as check points to determine if each concept is well understood.

The course includes tables of the standard normal distribution, the Student t distribution and the Chi square distribution. In addition, you will be given the opportunity to take a final test to check your understanding of the overall material.

It may take between two weeks to a month to finish this material depending on how much time is devoted to the course as well as the student prior preparation. It is important to realize that this course prerequisite is the knowledge of the Normal distribution. The student can achieve that requirement by taking my course "Learn the Normal or Gaussian distribution" first.

This topic of confidence intervals and determining sample sizes is a required section for students learning statistics. The material is also very useful to professionals in many fields who want to apply statistical concepts in their daily work.

What are the requirements?

  • Understanding of the Normal distribution is Required
  • Please the course entitled: "Learn the Normal or Gaussian distribution"

What am I going to get from this course?

  • By the end of the course, you will understand the concepts of confidence intervals and determining sample sizes
  • By the end of the course, you will understand how to interpret confidence intervals
  • By the end of the course, you will be able to calculate confidence intervals about the population mean
  • By the end of the course, you will be able to calculate confidence intervals about the population proportion
  • By the end of the course, you will be able to calculate confidence intervals about the population variance
  • By the end of the course, you will be able to calculate confidence intervals about the population standard deviation
  • By the end of the course, you will be able to calculate sample sizes when estimating a population mean or proportion

What is the target audience?

  • College students taking an introductory statistics course
  • Business professionals interested in statistical applications
  • Anyone interested in understanding confidence intervals and calculating sample sizes

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

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Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: What we will learn
08:03

Information about the course: Confidence intervals and Determining Sample Sizes

Section 2: Course documents
1 page

Table of the standard normal table with the negative Z values

1 page

This table shows the Z the values corresponding to a given area to the left of those values.

Table of Student t distribution
1 page
5 pages

Table of the chi square distribution part 1.

5 pages

This test covers essential sections of the course and is designed to check for mastery of the course content.

Section 3: Confidence interval concepts
03:42

This lectures covers basic concepts related to point estimations and their desired properties

03:37

This lecture talks about the basic concepts of confidence intervals or interval estimates and explains confidence levels. It also provides a thorough explanation of what the confidence levels mean and how to interpret them.

05:47

This flowchart helps to determine when we can use the normal distribution or the Student t distribution for constructing the confidence intervals for the population means.

Section 4: Confidence interval for the population mean using the Normal distribution
04:44

In this video, we talk about the effect of sample size and confidence level on the width of the confidence interval. We also talk about the effect of increasing or decreasing the margin of error on the confidence interval.

03:20

In this lecture we cover the confidence interval for the population mean when the sample size is large or when the sample size is small and the population standard deviation is known. In those two cases, we use the normal distribution in the calculation of the confidence interval critical values.

04:22

In this lecture, we show how to obtain the critical values (Z sub alpha over 2) that are used for computing the confidence intervals.

06:46

In this video, we show examples about computing the confidence interval for the population mean when the sample size selected is large. In this case, we use the critical value based on the normal distribution.
We also show a special case where we are computing the confidence interval for the population mean when the sample size is small but the we are sampling from a population that is normally distributed with mean U and known standard deviation sigma. In that case also, we use the critical value based on the normal distribution.

2 questions

In this quiz, you will compute a confidence interval for the population when the selected sample size is large

1 question

In this quiz, we you are asked to calculate a confidence interval of the population mean.

Section 5: Confidence interval about the population mean using the Student t distribution
05:45

In this lecture, we talk about the confidence interval for the population mean when the sample size is small (n < 30), the population standard is small and we are sampling from a population that is normally or approximately normally distributed. We talk about the Student t distribution and shows how it looks like compare to the normal distribution.

04:13

In this lecture, we show how the confidence interval for the population mean when the sample size is small and the population standard deviation sigma is unknown is calculated.

07:33

In this lecture, we illustrate how to compute confidence intervals using the Student t distribution. Practical examples are given to reinforce the understanding of the Student t distribution.

1 question

The purpose of this quiz is calculate a confidence interval for the population mean when the sample size is small, the population standard deviation is unknown and the population is assumed to be approximately normally distributed.

1 question

In this quiz, you will compute a confidence interval for the population mean when the sample size is small.

1 question

In this quiz, you are asked to calculate a confidence interval about the population mean.

1 question

Quiz about using the student t distribution to ompute confidence intervals

Section 6: Confidence Interval about a population proportion or percent p
03:03

In this lecture, we talk about how to estimate a population proportion p with the sample proportion. We discuss the conditions that must be met for construction a confidence interval about the population proportion

02:42

In this lecture we discuss the formula for the confidence interval for the population proportion or percent p.

07:45

In this lecture, we show practical examples for computing the confidence interval of the population proportion or percent.

1 question

In this quiz, you are asked to compute a confidence interval of the population proportion

1 question

In this quiz, you are asked to compute a confidence interval of a population proportion

1 question

In this quiz, you are asked to compute a confidence interval of the population proportion

Section 7: Determining sample sizes when estimating a population mean
03:25

In this lecture, we talk about the formula for determining the sample size when the purpose of the study is to estimate a population mean.

07:26

In this video, we show practical examples about how to find sample sizes when the purpose is to estimate a population mean.

1 question

In this quiz, we will calculate the sample size needed when the purpose of the study is to estimate a population mean.

1 question

In this quiz, you will compute the sample size needed when the purpose of the study is to estimate a population mean.

1 question

In this quiz, you will calculate the sample size needed to estimate a population mean

1 question

In this quiz, you are asked to calculate the sample size needed when estimating a population mean

Section 8: Determining sample sizes when estimating a population proportion
04:30

In this lecture, we discuss the formula for determining sample sizes when we want to estimate a population proportion.

05:00

In this lecture, we show practical examples about determining sample sizes when we are estimating a population proportion.

1 question

The purpose of this quiz is to determine the sample size needed to estimate a population proportion.

1 question

In this quiz, we need to calculate the sample size needed to estimate a population proportion

1 question

In this quiz, you will calculate the required sample size needed when we are estimating a population proportion

1 question

In this quiz, you are asked to determine the sample size needed when we are estimating a population proportion.

Section 9: Confidence interval for the population variance and standard deviation
02:44

In this lecture, we talk about the chi square distribution. In the end, we cover the point estimates about the population variance and standard deviation.

01:25

In this lecture, we discuss the properties of the chi-square distribution.

05:05

In this lecture, we show to read the critical values of the chi square distribution for the confidence interval of the population variance and standard deviation. These tables values (critical values) are essential in the calculation of the confidence interval for the population mean and standard deviation.

01:35

In this lecture, we talk about the formulas for calculating the confidence interval for a population variance and standard deviation using the chi square distribution.

03:03

In this lecture,we use a real world problem to show how to compute a confidence interval about the population variance.

03:46

In this lecture, we are using a real world example to illustrate how we compute the confidence interval for the population standard deviation.

1 question

In this quiz, you will calculate the confidence interval of a population variance

1 question

In this quiz, you will calculate a confidence interval of a population standard deviation

1 question

In this quiz, you are asked to compute a confidence interval of the population standard deviation

Section 10: Conclusion and final remarks
Concluding remarks and what is next
06:25

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Instructor Biography

Luc Zio, Adjunct faculty of Math and Statistics

I  have over 18 years of work experience in the field of statistics as an Applied Statistician. For the last  twelve years, I have also  been teaching undergraduate college level statistics courses at St Petersburg College.  As an Applied Statistician, I have developed over the years a strong interest in using EXCEL as a statistical tool with my classes in order to give to the students real world hands-on experience with Statistics.

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