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# Descriptive Statistics

Most First Year Statistics units start with Descriptive Statistics

Describing the data may be  in terms of pictures, numerical measures and probability.
We distinguish between populations and samples, Box plots (5 number summary calculations), Stem and Leaf plots, and Measures of Central Tendency and Variation.

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# Formula for Descriptive Statistics

Central Tendency and Variation have numerical measures that are coupled together. Mean and Standard Deviation are one, and Median and Interquartile Range are another.
Each couple are used when we have looked at the distribution.
We can transform are data adding and multiplying by numbers, this affects our measures.

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# Normal Distributions

Normal distribution is a continuous distribution and one of the most commonly used one.  It will be come more important when we study Tests of Significance or Hypothesis Testing.
We will calculate a probability of being greater than or less than a number and the score or the number where so many percent is greater than or less than where you are given the percentage or probability.

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# Central Limit Theorem

This is a very important theorem and will help with Normality assumptions.

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# Sampling Distribution of the Sample Mean

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# Confidence Interval

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# t scores and t tables

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# Flowchart for when to use z or t

This is a common problem in statistics units, you will need to pay attention to the population distribution, sample size and which standard deviation, population or sample.

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