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 I can identify the shape of a data distribution using statistics or charts.  I can make inferences about the population from the shape of a sample.

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Presentation on theme: " I can identify the shape of a data distribution using statistics or charts.  I can make inferences about the population from the shape of a sample."— Presentation transcript:

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2  I can identify the shape of a data distribution using statistics or charts.  I can make inferences about the population from the shape of a sample.

3  You have 4 minutes to roll a pair of dice as many times as possible. Make sure to keep track of the sums that you roll!

4 Mean: the average of a set of data Add all of the values up and divide by the total number

5 Standard Deviation: A measure of variation from the mean Remember, is the mean.

6 Spread of a data set: The “width” of a data set  Range  Quartiles  Interquartile Range

7 Graphing data on a Histogram The Independent Variable (what you are changing) goes on the x-axis The Dependent Variable (the result of your experiment) goes on the y-axis

8  Use your personal data to create a graph  One at a time, come to the computer and enter your data into the spreadsheet

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10  What does it look like?  Why is it called a bell curve?  What does “normal” mean?  What makes a set of data “normal”?

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12  What does it look like?  Why is it called a bell curve?  What does “normal” mean?  What makes a set of data “normal”?

13 Is your data normally distributed?

14 Mean = 490 Standard Deviation = 100

15  Is the data normally distributed?  Does the sample size have an effect on the normality of the data?

16  I can identify the shape of a data distribution using statistics or charts.  I can make inferences about the population from the shape of a sample.

17 Value on the DiceProbabilit y 21/36 32/36 43/36 54/36 65/36 76/36 85/36 94/36 103/36 112/36 121/36

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