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Lesson 11 of 15

Confidence Interval for a Population mean, with an Unknown Population Variance

If the population variance is not known, then we do the following change to the above confidence interval formula:

  1. Substitute the population variance (s) with the sample variance (s)
  2. Us t-distribution instead of normal distribution (explained in the following pages)

We use t-distribution because the use of sample variance introduces extra uncertainty as s varies from sample to sample.

ci1
ci1

Example

We take a sample of 16 stocks from a large population with a mean return of 5.2% and a standard deviation of 1.2%. The population standard deviation is not known.

Calculate the 95% confidence interval for the population mean.

The confidence interval will be:

ci2
ci2

The value of t is observed from the t-table.

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Confidence Interval for a Population mean, with a known Population Variance

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Confidence Interval for a Population Mean, when the Distribution is Non-normal

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Sampling and Estimation

15 lessons

Lessons

1
Simple Random Sampling and Sampling Distribution
2
Sampling Error
3
Stratified Random Sampling
4
Time Series and Cross Sectional Data
5
Central Limit Theorem
6
Standard Error of the Sample Mean
7
Parameter Estimation
8
Point Estimates
9
Confidence Interval Estimates
10
Confidence Interval for a Population mean, with a known Population Variance
11
Confidence Interval for a Population mean, with an Unknown Population Variance
12
Confidence Interval for a Population Mean, when the Distribution is Non-normal
13
Student’s t Distribution
14
How to Read Student’s t Table
15
Biases in Sampling

Quizzes

Sampling and Estimation
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