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. . . PENNIES for the AGES . . . Without looking, dig into the collection and grab FOUR PENNIES. Note the dates, return the pennies, and re-mix the collection. Calculate the AVERAGE AGE of your four pennies, based on the mint dates. For example, if the penny dates are 1994, 1968, 2006, and 1999, the average (mean) age is: (10+46+8+15)/(4) = 79/4 = 19.75 ≈ 20 years. Note the horizontal and vertical scales on the grid here and then record that (rounded) average age using a properly scaled X. Thursday, January 30, 2014 MAT 312

Transcript of Thursday, January 30, 2014MAT 312. Thursday, January 30, 2014MAT 312.

Page 1: Thursday, January 30, 2014MAT 312. Thursday, January 30, 2014MAT 312.

MAT 312

. . . PENNIES for the AGES. . .

Without looking, dig into the collection and grab FOUR PENNIES. Note the dates, return the pennies, and re-mix the collection.

Calculate the AVERAGE AGE of your four pennies, based on the mint dates. For example, if the penny dates are 1994, 1968, 2006, and 1999, the average (mean) age is:

(10+46+8+15)/(4) = 79/4 = 19.75 ≈ 20 years.

Note the horizontal and vertical scales on the grid here and then record that (rounded) average age using a properly scaled X. Thursday, January 30, 2014

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Prob & Stat (MAT 312)Dr. Day Thursday January 30,

2014 Grab 4 Pennies at Random and Calculate/Plot Their Average

(Mean) Age

Collect Assignment #2 and Return Assignment #1

Debrief Population 600 Activity Highlights from “Questions?” Discuss Results

Prob & Stat: School Connections Comments on National Test Items and Results CCSSM for Statistics and Probability

Representing Data: Visual/Numerical Displays/Summaries

Assignment for Next TimeThursday, January 30, 2014

MAT 312

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School Curriculum Connections

NAEP Items and Results

Common Core State Standards for Mathematics Statistics and Probability

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Population 600 Debrief

Results Comparison: One Example (9 groups; columns are %)

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A B C D E F G H J Actual

Perfect Square

0 0 3.3 0 6.7 0 0 3.3 13.3 24 4%

3-digit #

96.7 80 93.

383.3

93.3 70 80 83.

383.3 50183.5%

Digit: 4

26.7

43.3

43.3 30 30 20 26.

723.3 40 195 32.5%

Digit: 9

26.7

26.7 20 10 26.

723.3

26.7

23.3

16.7 114 19%

Even #

43.3 50 50 56.

726.7 60 30 46.

7 50 300 50%

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Population 600: Emerging Question

and Concerns

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• Is there an easier way to find the amount of numbers in census sample for “contains the digit 4” and “contains the digit 9”?

• What is an easy way to do the cluster method? How do you choose a method?

• Are convenience samples ever to be considered reliable? What are they used for?

• We are just curious as to how many simple random samples you would need to obtain to make sure the data accurately represents the total population.

• We have concerns on how best to cluster and group number to keep consistency. We are also concerned on the accuracy of our answers for questions (1) and (2) because we are unsure what we are measuring.

• We wonder if stratified samples are the most versatile for different populations We think it will be effective for a variety of populations.

• Would a stratified random sample be the most accurate all the time?

• How big the sample has to be to represent a population? Which sampling is best for certain information that is being surveyed in a population?

• It is a concern of ours how often an inaccurate sample is used. Also, how important is it to choose the type of sample that would accurately represent the population is our other concern.

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Representing DataVisual and Numerical Displays and

SummariesDisplay Summary

Visual

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Numerical

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Initial Steps: 1-Variable Data Analysis

Clusters are isolated groups of points.

Gaps are large spaces between data points.

Outliers are data values substantially larger or smaller than any other data points.

The maximum value of a data set is the largest value in the set. It is also called the upper extreme.

The minimum value of a data set is the smallest value in the set. It is also called the lower extreme.

The range of a data set is the difference between the maximum and minimum values of a data set.

The mode of a data set is the value that occurs most often in the data set. A data set can have more than one mode, and if no data value occurs more often than any other, there is no mode.Thursday, January 30, 2014

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Representing DataDisplay Summary

Visual

Line Plot (Dot Plot)

Stem-and-Leaf Plot

Circle GraphBar GraphHistogram

Box-and-Whisker Plot

NumericalOrdered ListFrequency

Table

Measures of Center(mean, median, mode)

Measures of Spread(range, deviations,

variance)

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See handout.

Assignment #3: Due Thursday

2/6/14

Thursday, January 30, 2014