Class Notes (1,100,000)

CA (620,000)

Queen's (10,000)

SOC (1,000)

SOCY 211 (60)

Bill Nelson (10)

Lecture 6

# SOCY 211 Lecture Notes - Lecture 6: Central Limit Theorem, Confidence Interval, Standard Deviation

by OC199788

School

Queen's UniversityDepartment

Social Sci, Edu and Soc Work - SociologyCourse Code

SOCY 211Professor

Bill NelsonLecture

6This

**preview**shows pages 1-2. to view the full**6 pages of the document.** SOCY 211 – Lecture 6

Module 5 Key ideas:

Sampling disstribution

Is the distribution of the sample mean.

A hypothetical distribution

Central limit theorem & Standard error

If we know the standard deviation of the sampling distribution, we

could use the normal distribution to represent the sample.

However, we can only estimate this, because it does not take the

uncertainty of standard deviation. Therefore, we use the t-

distribution.

If two people take different samples, they will have different

results, meaning they also have different population distributions.

The

μ

cannot change when choosing different samples

σ

is the standard deviation

If we know the standard deviation of the population distribution,

we can find the standard deviation of the sampling distribution.

Only pages 1-2 are available for preview. Some parts have been intentionally blurred.

Normal distribution:

T-distribution:

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