unit 3 lesson 1 (4.1) numerical methods for describing data 4.1: describing the center of a data set

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Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

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Page 1: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Unit 3 Lesson 1(4.1)

Numerical Methods for Describing Data4.1: Describing the Center of a Data Set

Page 2: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

60% of the sample was satisfied with their cell phone service.

6.0159ˆ p

What values are used to describe categorical data?Suppose that each person in a sample of 15 cell phone users is asked if he or she is satisfied with the cell phone service.

Here are the responses:Y N Y Y Y N N Y Y N Y Y Y N N

What would be the possible responses?

Find the sample proportion of the people who answered “yes”:

Pronounced p-hatThe population proportion is

denoted by the letter p.

Page 3: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Population Parameter -

• Fixed value about a population• Typically unknown

Suppose we want to know the MEAN length of all the fish in Lake Lewisville . . .

Is this a value that is known?

Can we find it out?

At any given point in time,

how many values are

there for the mean length of fish in the

lake?

Page 4: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Sample Statistic -• Value calculated from a

sample

Suppose we want to know the MEAN length of all the fish in Lake Lewisville.

What can we do to estimate this unknown population characteristic?

Page 5: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Measures of Central TendencyMedian - the middle value of the data;

it divides the observations in half

To find: list the observations in numerical order

even is if values middle two the of average

odd is is value middle single median sample

n

n

Where n = sample size

Page 6: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we catch a sample of 5 fish from the lake. The lengths of the fish (in inches) are listed below. Find the median length of fish.

3 4 5 8 10

The numbers are in order & n is odd – so

find the middle observation.

The median length of fish is 5 inches.

Page 7: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we caught a sample of 6 fish from the lake. The median length is …

3 4 5 6 8 10

The numbers are in order & n is even – so find the middle two observations.

The median length is 5.5

inches.

Now, average these two values.

5.5

Page 8: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Measures of Central TendencyMean is the arithmetic average.

–Use m to represent a population mean

–Use x to represent a sample mean

Formula:

S is the capital Greek letter sigma – it means to sum the values that

follow

Population Parameter

Sample Statistic

m is the lower case Greek letter mu

Page 9: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we caught a sample of 6 fish from the lake. Find the mean length of the fish.

3 4 5 6 8 10

To find the mean length of fish - add the observations and divide

by n.

61086543

Page 10: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

What happens to the median & mean if the length of 10 inches was 15 inches?

3 4 5 6 8 15

The median is . . .

5.5

The mean is . . .

61586543

6.833

What happened?

Page 11: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

What happens to the median & mean if the 15 inches was 20?

3 4 5 6 8 20

The median is . . .

5.5

The mean is . . .

62086542

7.667

What happened?

Page 12: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Some statistics that are not affected by extreme values . . .

Is the median affected by extreme values?

Is the mean affected by extreme values?

NO

YES

Page 13: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we caught a sample of 20 fish with the following lengths. Create a histogram for the lengths of fish. (Use a class width of 1.)

Mean =Median =

3 5 6 10 6 7 7 8 4 5 6 4 7 5 9 9 8 7 6 8

6.5

Calculate the mean and median.

6.5

Look at the placement of the mean and median in this symmetrical distribution.

Page 14: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we caught a sample of 20 fish with the following lengths. Create a histogram for the lengths of fish. (Use a class width 1.)

Mean =Median =5.5

6.8

Calculate the mean and median.Look at the placement of the

mean and median in this skewed distribution.

3 5 6 10 15 7 3 3 4 5 6 4 12 5 3 4 8 13 11 9

Page 15: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Suppose we caught a sample of 20 fish with the following lengths. Create a histogram for the lengths of fish. (Use a class width of 1.)

Mean =Median =

8.57.75

Calculate the mean and median.Look at the placement of the

mean and median in this skewed distribution.

3 5 6 10 10 7 10 8 9 5 6 4 9 10 9 9 10 7 10 8

Page 16: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Recap:• In a symmetrical distribution, the mean and

median are equal.• In a skewed distribution, the mean is pulled

in the direction of the skewness.

• In a symmetrical distribution, you should report the mean!

• In a skewed distribution, the median should be reported as the measure of center!

Page 17: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Summary

p = Population Proportion (parameter)

= Sample Proportion (statistic) = Population Mean (parameter) = Sample Mean (statistic)When describing center…

Measure of CenterSymmetric MeanSkewed Median

Page 18: Unit 3 Lesson 1 (4.1) Numerical Methods for Describing Data 4.1: Describing the Center of a Data Set

Homework

• Pg.110:

#4.1, 4.2ab, 4.3, 4.14