interpreting center & variability

11

Upload: haviva-craft

Post on 30-Dec-2015

27 views

Category:

Documents


5 download

DESCRIPTION

Interpreting Center & Variability. 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 - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Interpreting Center & Variability
Page 2: Interpreting Center & Variability

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 μ & σ to represent the mean & standard

deviation

Page 3: Interpreting Center & Variability

z score

• Standardized score

• Creates the standard normal density curve

• Has μ = 0 & σ = 1

xz

Page 4: Interpreting Center & Variability

What do these z scores mean?

-2.3

1.8

6.1

-4.3

2.3 σ below the mean

1.8 σ above the mean

6.1 σ above the mean4.3 σ below the mean

Page 5: Interpreting Center & Variability

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 μ = 45 and σ = 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 6: Interpreting Center & Variability

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

%11100 2k

At least what percent of observations is within 2

standard deviations of the mean for any shape

distribution? 75%

Page 7: Interpreting Center & Variability

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 8: Interpreting Center & Variability

Normal Curve

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

upward & downward occur at μ + σ and μ – σ

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

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

Page 9: Interpreting Center & Variability

Empirical Rule

• Approximately 68% of the observations are within 1σof μ

• Approximately 95% of the observations are within 2σof μ

• Approximately 99.7% of the observations are within 3σof μ

Can ONLY be used with normal curves!

Page 10: Interpreting Center & Variability

The height of male students at WHS 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 11: Interpreting Center & Variability

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

2.5%

First, find the mean & standard

deviation for the total setup time.