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Lesson 835 of 1524

Confidence Intervals

Information that is known about the distribution (for example, known standard deviation),

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Information that is known about the distribution (for example, known standard deviation), The pdf is symmetrical about its mean of zero

It approaches the standard normal distribution as n get larger There is a "family" of t-distributions: each representative of the family is completely defined by the number of degrees of freedom, which depends upon the application for which the t is being used

Normal Distribution — a continuous random variable (RV) with pdf f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 , where μ is the mean of the distribution and σ is…. Standard Deviation — a number that is equal to the square root of the variance and measures how far data values are from their mean; notation: s for sample standard deviation and σ for population…. family — completely defined by the number of degrees of freedom, which depends upon the application for which the t is being used. pdf — symmetrical about its mean of zero.

Worked example

What does “Normal Distribution” mean in Confidence Intervals?

  1. 1Use the wording this chapter gives for Normal Distribution.
  2. 2The book says: a continuous random variable (RV) with pdf f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 , where μ is the mean of the distribution and σ is….
  3. 3Do not use the meaning of Standard Deviation. That term means a number that is equal to the square root of the variance and measures how far data values are from their mean; notation: s for sample standard deviation and σ for population….

Result: a continuous random variable (RV) with pdf f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 , where μ is the mean of the distribution and σ is…

Why. That is the meaning this chapter gives for Normal Distribution.

Do not swap Normal Distribution and Standard Deviation. Normal Distribution means a continuous random variable (RV) with pdf f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 f ( x ) = 1 σ 2 π e - ( x - μ ) 2 / 2 σ 2 , where μ is the mean of the distribution and σ is…. Standard Deviation means a number that is equal to the square root of the variance and measures how far data values are from their mean; notation: s for sample standard deviation and σ for population….

Practice margin

This chapter

A fresh set from this chapter only. Choose 10 or 20. Multiple choice and fill-in, with no repeat inside the set.