Media Summary: Worked out example of constructing a confidence interval. Description of how a confidence interval is built. Description of a confidence interval to students with only a probability background.

Ma 381 Statistical Application Part - Detailed Analysis & Overview

Worked out example of constructing a confidence interval. Description of how a confidence interval is built. Description of a confidence interval to students with only a probability background. Examples of constructing confidence intervals. Minitab simulation of a confidence interval. Worked out examples of constructing confidence intervals.

How to determine the sample size when building a confidence interval for a population mean. A lecture on the definition and properties of a probability density function f(x) associated with a continuous random variable X. Definition of the central limit theorem and two examples of its use. Definition of covariance and several examples of computing covariance. The definition of a cumulative distribution function F(x) for a continuous random variable X. This video includes a short example of ... Examples of problems and solutions working with continuous random variables. The solutions are worked out with the ...

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MA 381: Statistical Application, Part 4: Example Of Constructing a Confidence Interval
MA 381: Statistical Application, Part 3: How a Confidence Interval is Constructed
MA 381: Statistical Application, Confidence Interval, Part 1
MA 381: Statistical Application, Part 6: More Examples of Constructing Confidence Intervals
MA 381: Statistical Application, Part 2: Minitab Simulation of a Confidence Interval
MA 381: Statistical Application, Part 5: Confidence Interval Construction Examples
MA 381: Statistical Application, Part 7: Determining Sample Size For a Confidence Interval
MA 381: Probability Distribution Chart
MA 381: Section 6.1: Continuous Random Variable - Probability Density Function (PDF)
MA 381: Section 11.5: Central Limit Theorem, Part 1
MA 381: Section 10.2: Covariance
MA 381: Section 6.1: Continuous Random Variable - Cumulative Distribution Function (CDF)
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MA 381: Statistical Application, Part 4: Example Of Constructing a Confidence Interval

MA 381: Statistical Application, Part 4: Example Of Constructing a Confidence Interval

Worked out example of constructing a confidence interval.

MA 381: Statistical Application, Part 3: How a Confidence Interval is Constructed

MA 381: Statistical Application, Part 3: How a Confidence Interval is Constructed

Description of how a confidence interval is built.

MA 381: Statistical Application, Confidence Interval, Part 1

MA 381: Statistical Application, Confidence Interval, Part 1

Description of a confidence interval to students with only a probability background.

MA 381: Statistical Application, Part 6: More Examples of Constructing Confidence Intervals

MA 381: Statistical Application, Part 6: More Examples of Constructing Confidence Intervals

Examples of constructing confidence intervals.

MA 381: Statistical Application, Part 2: Minitab Simulation of a Confidence Interval

MA 381: Statistical Application, Part 2: Minitab Simulation of a Confidence Interval

Minitab simulation of a confidence interval.

MA 381: Statistical Application, Part 5: Confidence Interval Construction Examples

MA 381: Statistical Application, Part 5: Confidence Interval Construction Examples

Worked out examples of constructing confidence intervals.

MA 381: Statistical Application, Part 7: Determining Sample Size For a Confidence Interval

MA 381: Statistical Application, Part 7: Determining Sample Size For a Confidence Interval

How to determine the sample size when building a confidence interval for a population mean.

MA 381: Probability Distribution Chart

MA 381: Probability Distribution Chart

A description of a chart provided for

MA 381: Section 6.1: Continuous Random Variable - Probability Density Function (PDF)

MA 381: Section 6.1: Continuous Random Variable - Probability Density Function (PDF)

A lecture on the definition and properties of a probability density function f(x) associated with a continuous random variable X.

MA 381: Section 11.5: Central Limit Theorem, Part 1

MA 381: Section 11.5: Central Limit Theorem, Part 1

Definition of the central limit theorem and two examples of its use.

MA 381: Section 10.2: Covariance

MA 381: Section 10.2: Covariance

Definition of covariance and several examples of computing covariance.

MA 381: Section 6.1: Continuous Random Variable - Cumulative Distribution Function (CDF)

MA 381: Section 6.1: Continuous Random Variable - Cumulative Distribution Function (CDF)

The definition of a cumulative distribution function F(x) for a continuous random variable X. This video includes a short example of ...

MA 381: Continuous Random Variable Sample Problems

MA 381: Continuous Random Variable Sample Problems

Examples of problems and solutions working with continuous random variables. The solutions are worked out with the ...