AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores,...

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AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z- scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT DUE (black tray) WS Comparative Box Plots

Transcript of AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores,...

Page 1: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

AP StatisticsMonday, 21 September 2015

• OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule.

• ASSIGNMENT DUE (black tray)

– WS Comparative Box Plots

Page 2: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Week of 09/21 – 25/2015• MONDAY Interpreting Center & Variability

WS Mean and Variance

• TUESDAY WS Interpreting Center & Variability

QUIZ: Means, Boxplots & Variability

• WED ReviewWS AP Review

• FRIDAY TEST: Measuring and Interpreting Variability

• MON, 09/28 Sampling Design

• TUES, 09/29 Sampling Design

• WED, 09/30 Experimental Design

Page 3: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.
Page 4: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Density Curves

• Can be created by smoothing histograms• ALWAYS on or above the horizontal axis• Has an area of exactly one underneath it• Describes the proportion of observations that fall

within a range of values• Is often a description of the overall distribution• Uses m & s to represent the mean & standard

deviation

Page 5: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

z score

• Standardized score• Creates the standard normal density curve• Has m = 0 & s = 1

xz

Page 6: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

What do these z scores mean?

2.3

1.8

6.1

4.3

2.3 s below the mean

1.8 s above the mean

6.1 s above the mean4.3 s below the mean

Page 7: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Jonathan wants to work at Utopia Landfill. He must take a test to see if he is qualified for the job. The test has a normal distribution with m = 45 and s = 3.6. In order to qualify for the job, a person can not score lower than 2.5 standard deviations below the mean. Jonathan scores 35 on this test. Does he get the job?

No, he scored 2.78 SD below the mean.

Page 8: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Chebyshev’s Rule

• The percentage of observations that are within k standard deviations of the mean is at least

where k > 1

• can be used with any distribution

21100 1 %k

At least what percent of observations is within 2

standard deviations of the mean for any shape

distribution? 75%

Page 9: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Chebyshev’s Rule - what to know

• Can be used with any shape distribution

• Gives an “At least . . .” estimate• For 2 standard deviations – at least

75%

Page 10: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

The scores on a statistics quiz are negatively skewed with a mean of 82 and standard deviation of 10. What can I say about the number of students who scored less than 60 on the quiz?

z = 2.2, Chebyshev’s Rule: 79.339%Conclusions: • At most 20% of the students scored less than 60.• Students who scored less than 60 are at most in the 20th

percentile.• At least 80% of the students scored higher than a 60.

Page 11: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Normal Curve

• Bell-shaped, symmetrical curve• Transition points between cupping

upward & downward occur at m + s and m – s

• As the standard deviation increases, the curve flattens & spreads

• As the standard deviation decreases, the curve gets taller & thinner

Page 12: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Empirical Rule

• Approximately 68% of the observations are within 1s of m

• Approximately 95% of the observations are within 2s of m

• Approximately 99.7% of the observations are within 3s of m

• See p. 181

Can ONLY be used with normal curves!

Page 13: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

The height of male students at JVHS is approximately normally distributed with a mean of 71 inches and standard deviation of 2.5 inches.

a) What percent of the male students are shorter than 66 inches?

b) Taller than 73.5 inches?

c) Between 66 & 73.5 inches?

About 2.5%

About 16%

About 81.5%

Page 14: AP Statistics Monday, 21 September 2015 OBJECTIVE TSW examine density curves, z-scores, Chebyshev’s Rule, normal curves, and the empirical rule. ASSIGNMENT.

Remember the bicycle problem? Assume that the phases are independent and are normal distributions. What percent of the total setup times will be more than 44.96 minutes?

Phase Mean SD

Unpacking 3.5 0.7

Assembly 21.8 2.4

Tuning 12.3 2.7

About 2.5%

First, find the mean & standard

deviation for the total setup time.