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Common Core Math I Unit 1 Day 1 One-Variable Statistics

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Presentation on theme: "Common Core Math I Unit 1 Day 1 One-Variable Statistics"— Presentation transcript:

1 Common Core Math I Unit 1 Day 1 One-Variable Statistics

2 Two Main Uses of Statistics
TO DESCRIBE (Data Analysis) TO PREDICT (Statistical Inference)

3 Definitions Data: A collection of information in context.
Population: A set of individuals that we wish to describe and/or make predictions about. Individual: Member of a population. Variable: Characteristic recorded about each individual in a data set.

4 Types of Variables Categorical Variable: A variable that records qualities or characteristics of an individual, such as gender or eye color. Quantitative Variable: A variable that measures a characteristic of an individual, such as height, weight, or age. In this unit, we will focus on quantitative data.

5 What type is it? Categorical Quantitative
Go over the Collect student data worksheet and discuss which type of variable each one is.

6 Categorical or Quantitative Data?
Birth month Number of siblings Height in inches Average amount of time (in minutes) of your ride to school. Number of pets Year & model of the car you drive Age of your youngest parent Predicted letter grade of your first Math 1 test.

7 1. Brand of vehicle purchased by a customer 2. Price of a CD 3
1. Brand of vehicle purchased by a customer 2. Price of a CD 3. Number of students in a class of 30 who prefer peanut M&Ms over plain M&Ms 4. Phone number of all the students enrolled in school. 5. The height of a 1 year old child. 6. Number of students in a class of 35 who turn in a term paper before the due date. 7. Gender of the next baby born at a particular hospital. 8. Amount of fluid (oz) dispensed by a machine used to fill bottles with soda. 9. Thickness of the gelatin coating of a Vitamin C capsule 10. Brand of computer purchased by a customer 11. State of birth for someone born in the United States. 12. Price of a textbook 13. The phone numbers of everyone in this class. 14. Actual weight of coffee in a one pound can. 15. The length of a rattlesnake.

8 Describing Data Two ways to describe data: Graphically Numerically

9 Describing Data Graphically
Dotplot Histogram Boxplot

10 Describing Data Numerically
Measures of Center – mean, median Measures of Spread – range, interquartile range, standard deviation

11 What is the typical value?
Measures of Center What is the typical value? Note: Students do NOT need to copy down these definitions at this point – more with these will come later in the unit.

12 Measures of Spread How much do values typically vary from the center?
Range Interquartile Range (IQR) Standard Deviation


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