 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 transcript:

 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.

 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!

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

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

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

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

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

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

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

Is your data normally distributed?

Mean = 490 Standard Deviation = 100

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

 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.

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