Strategic Intervention Material (SIM) for Senior High School

Strategic Intervention Material in Statistics and Probability

MODULE 1 Confidence Interval Estimates for the Population Mean

General Learning Competency:
Computes for the confidence interval estimate based on the appropriate form of the estimator for the population mean.

Specific Objectives:
At the end of the lesson, you are expected to:
1. Define confidence level 2. Define confidence interval 3. Compute confidence interval estimate

Introduction: 
When we describe population values, we want to be confident about our estimates. Other than the poin estimate, we can use a range of values. This range of values is called interval estimate. You will learn more about estimates in this lesson.

This material helps you to understand confidence interval estimates for the population mean.

We will discuss confidence level and confidence interval. We will also apply the normal curve concepts in computing the confidence interval estimates.

TEACH YOURSELF 
 Just like what the saying goes, “AN APPLE A DAY, MAKES THE DOCTOR AWAY.”

Making notes and information about the topic will help you understand better the lesson.

TAKE NOTE: • An interval estimate, also called a confidence interval, is a range of values where most likely the true value will fall. This parameter may or may not contain the true parameter value.

• Hence, a confidence interval estimate is a range of values wherein one has a certain percentage of confidence that the true value will likely fall.

• In determining an interval estimate, a degree of confidence (expresses as a percentage such as 95%) that the interval contains the true and then calculate a confidence interval from each sample, these confidence intervals are constructed wide enough so that 95% of them contain the true population parameter and 5% do not. The value 95% is also known as the confidence level.

Strategic Intervention Material in Statistics and Probability 

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