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AP Statistics : Section 2.1 A

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Page 1: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

AP Statistics: Section 2.1 A

Page 2: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Measuring Relative Standing: z-scores

A z-score describes a particular data value’s position in relation to

the rest of the data.

Page 3: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

In particular, a z-score tells ushow many standard deviations a particular score is above or below the mean.

Page 4: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Since a z-score is in standard deviation units, converting a data

to a z-score is called____________standardizing.

Page 5: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

If x is an observation from a distribution that has known mean

and known standard deviation , then the standardized value of x is:

xs

xxz

Page 6: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Observations larger than the mean have ________ z-scores, whereas

observations smaller than the mean have ________ z-scores.

positive

negative

Page 7: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Example 1: Kerry earned a 93 on the Chapter 1 test and Norman earned a 72. The median and

mean for the class were both 80 and the standard deviation was 6.07. Determine, and

interpret their respective z-scores.

14.26.07

80-93z :Kerry

32.16.07

80-72z :Norman

Kerry’s score is 2.14 stand. dev. above the mean

Norman’s score is 1.31 stand. dev. below the mean.

Page 8: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Example 2: Kerry earned a scored of 82 in his calculus class. The class had a mean of 76 and a standard deviation of 4. Did he do worse on this

test than on his stats test?

5.14

76-82 :Calculus

Compared to the class, Kerry did worse on his calculus test, because he is only 1.5 stand. dev. above the mean.

Page 9: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Measuring Relative Standing: Percentiles

Page 10: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

In Chapter 1, we defined the pth percentile of a distribution as the value that has p

percent of the observations fall at or below it. Some people define the pth percentile

of a distribution as the value with p percent of observations below it. Using this definition, it is impossible for an individual to fall at the _________ percentile. That is why you never see an ACT score reported

above the 99th percentile.

th100

Page 11: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

As long as you use a definition for percentile that is common use, you

will use receive full credit on the AP exam.

Page 12: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Example 3: Jenny’s score on her stats test was the 3rd highest score in the class. If

there are 25 students in the class, determine her percentile.

8888.25

22 Por

9292.25

23P

Page 13: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Example 4: Norman’s score was the 2nd lowest score. Determine his percentile.

808.25

2P

404.25

1or P

Page 14: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

There is no simple method to convert a z-score to a percentile. The percentile

depends on the shape of the distribution. In a perfectly symmetrical distribution, the

mean _______ the median. Thus, in a perfectly symmetrical distribution a z-score of 0 will equal the ______ percentile. But,

in a left-skewed distribution, where the mean is ______ than the median, this

observation will be somewhere ________ the 50th percentile.

equals

50th

lessbelow

Page 15: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

There is a theorem that describes the percent of observations in any

distribution that falls within a specified number of standard

deviations of the mean. It is know as Chebyshev’s Inequality.

Page 16: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

In any distribution, the percent of observations falling within k standard deviations of the

mean is

2

11100k

Page 17: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Example 5: Complete the following table to determine the percent of observations in any distribution that must fall within k standard

deviations of the mean.

%0

)11(100

)1

11(100

2

%75 %89.88 %75.93 %96

Page 18: AP Statistics: Section 2.1 A. Measuring Relative Standing: z-scores A z-score describes a particular data value’s position in relation to the rest of

Chebyshev’s Inequality gives us some insight into how observations are distributed within distributions. It does not help us determine the

percentile corresponding to a given z-score. For that, we need more

advanced models known as ______________.density curves