CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

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The session shall begin shortly… CABT Statistics & Probability – Grade 11 Lecture Presentation

Transcript of CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Page 1: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

The session shall begin shortly…

CABT Statistics & Probability – Grade 11 Lecture Presentation

Page 2: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

LET’S START

!

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The Normal Distribution and Standard Scores

A Grade 11Statistics & Probability

Lecture

3

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The Normal Distribution and Standard Scores

Normally Distributed Random Variables

CABT Statistics & Probability – Grade 11 Lecture Presentation

A normally distributed random variable X (or X has a normal distribution) has a continuous, symmetric, bell-shaped distribution symmetric about the mean of X.

If X is normally-distributed with mean and standard deviation , we write

X ~ N(, )

The distance of the values of X from the mean is expressed in terms of the standard deviation .

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The Normal Distribution and Standard Scores

Normally Distributed Random Variables

CABT Statistics & Probability – Grade 11 Lecture Presentation

A normally distributed random variable X (or X has a normal distribution) has a continuous, symmetric, bell-shaped distribution symmetric about the mean of X.

If X is normally-distributed with mean and standard deviation , we write

X ~ N(, )

The distance of the values of X from the mean is expressed in terms of the standard deviation .

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Properties of the Normal Distribution1. The distribution curve

is bell-shaped.2. The curve is symmetric

about its center, the mean.

3. The mean, the median, and the mode coincide at the center.

4. The width of the curve is determined by the standard deviation of the distribution.

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

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Properties of the Normal Distribution5. The tails of the curve

flatten out indefinitely along the horizontal axis, always approaching the axis but never touching it. That is, the curve is asymptotic to the base line.

6. The area under the curve is 1. Thus, it represents the probability or proportion or the percentage associated with specific sets of measurement values.

asymptotic to the x-axis

The Normal Distribution and Standard Scores

Page 8: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

The Distribution of Area Under the Normal Curve- a.k.a. the empirical rule or the

“68% - 95% - 99.7%” ruleThe area under the part of a normal curve that lies:• within 1 standard deviation of the

mean is approximately 0.68, or 68%;• within 2 standard deviations, about

0.95, or 95%within 3 standard deviations, about 0.997, or 99.7%CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

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The Distribution of Area Under the Normal Curve

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

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The Standard Score or z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The STANDARD NORMAL random variable Z has a normal distribution with mean = 0 and standard deviation = 1. If Z is normally-distributed with mean 0 and standard deviation 1, we write

Z ~ N(0, 1)

The Normal Distribution and Standard Scores

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The Normal Distribution and Standard Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

QUESTION:

What comes to mind when you hear the words

STANDARD and STANDARDIZED?

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The Normal Distribution and Standard Scores

What is STANDARD?

CABT Statistics & Probability – Grade 11 Lecture Presentation

STANDARD n. a level of quality or attainment (high standard of service); an idea or thing used as a measure, norm, or model in comparative evaluations (the wages are low by today's standards)STANDARD adj. used or accepted as normal or average (standard score)

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The Standard Score or z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The standard score or z-score is a measure of relative standing. It represents the distance between a given measurement X and the mean, expressed in standard deviations.

The Normal Distribution and Standard Scores

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

If the distribution of a random variable X is normal with mean and standard deviation , the values x of X can be STANDARDIZED or can be converted to z-scores using this formula: xz

This formula transforms the values of the variable x into standard units or z values.

The Normal Distribution and Standard Scores

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

Relationship between x and z:For any population, the mean and the standard deviation are fixed. Thus, the z formula matches the z-values one-to-one with the x values (raw scores). That is, for every x value there corresponds a z-value and for each z-value there is exactly one x value.

z xx z

xz

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Note on notation: If we’re talking about an entire POPULATION that is normally distributed, we use for the mean and for the standard deviation.If we’re talking about a SAMPLE of a population that is normally distributed, we use for the mean and s for standard deviation.

x

The Normal Distribution and Standard Scores

x

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The z-ScoresConverting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Note on notation: Z-score for

a populationZ-score fora sample

xz

x xz

sx

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Why standardize scores?

The Normal Distribution and Standard Scores

The major purpose of standard scores is to place scores for any individual on any variable having any mean and standard deviation on the same standard scale so that comparisons can be made. Without some standard scale, comparisons across individuals and/or across variables would be difficult to make. (http://faculty.virginia.edu/PullenLab/WJIIIDRBModule/WJIIIDRBModule7.html)

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Application: the NCAE

The Normal Distribution and Standard Scores

The scores in the NCAE are reported in Standard Scores and Percentile Ranks.Standard Score – where the mean is 500 and the standard deviation is 100. The highest scores are in the 700’s; the lowest scores are in the 300’s.http://www.teacherph.com/national-career-assessment-examination-ncae-overview/

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Application: the NCAE

The Normal Distribution and Standard Scores

http://www.teacherph.com/national-career-assessment-examination-ncae-overview/

Percentile Rank – shows the test taker’s position among all the examinees. If an examinee scores at percentile rank 99+, it means that he scored above the other 99 percent of the examinees.

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

Application: the NCAE

The Normal Distribution and Standard Scores

http://www.teacherph.com/national-career-assessment-examination-ncae-overview/

The normal curve on the right represents a sample plot of a percentile rank (PR) in the NCAE.

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

1Given a normally distributed population with mean 75 and standard deviation 4, find the corresponding standard score of the following:a. 69 b. 85

The Normal Distribution and Standard Scores

69, 75, 4xxz

69 75

4 1.5z

85, 75, 4xxz

85 75

42.5z

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

2In a given normal distribution, the sample mean is 20.5 and the sample standard deviation is 5.4. Find the corresponding standard score of the following:a. 18.7 b. 21.3

The Normal Distribution and Standard Scores

18.7, 20.5, 5.4x x s

x xz

s

18.7 20.5

5.4 0.33z

21.3, 20.5, 5.4x x s

x xz

s

21.3 20.5

5.40.15z

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

3The average score in a Statistics and Probability Test is 80 with standard deviation 10. What is the standard score of the following students?JM – 97 Eljhie – 86

The Normal Distribution and Standard Scores

1 97, 80, 10x

11

xz

97 8010

1 1.7z

2 86, 80, 10x

22

xz

86 8010

2 0.6z

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

4A sample of bags of potato chips in a factory has an average net weight of 24.7 grams with standard deviation of 0.35 grams.What is the standard score for two samples A and B with the following weights? A – 22.6 grams B – 25.9 grams

The Normal Distribution and Standard Scores

22.6, 24.7, 1.02Ax x s

AA

x xzs

22.6 24.71.02

2.06Az

25.9, 24.7, 1.02Bx x s

BB

x xzs

25.9 24.71.02

1.18Bz

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

5Scores in the Precalculus Quarter Exam has mean 76 and standard deviation 4, while the Gen. Math exam has mean 75 and standard deviation 5.

The Normal Distribution and Standard Scores

If Yayie scored 90 in Precalculus and 91 in Gen. Math, in which subject is her standing better? Assume that the scores in both exams are normally distributed.

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

5Scores in the Precalculus Quarter Exam has mean 76 and standard deviation 4, while the Gen. Math exam has mean 75 and standard deviation 5. If Yayie scored 90 in Precalculus and 91 in Gen. Math, in which subject is her standing better? Assume that the scores in both exams are normally distributed.

The Normal Distribution and Standard Scores

90, 76, 4x

xz

90 76

43.5z

For Precalculus:

For Gen. Math 91, 75, 5x

xz

91 75

53.2z

Yayie has a better standing in Precalculus than in Gen. Math.

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

If the standard score z is given, the original or raw score x can be obtained by solving xz

for x, yielding the equation

The Normal Distribution and Standard Scores

x zFor a sampling distribution,

x x zs

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Converting Normally-Distributed Scores to z-Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

6Find the raw score of a standard score of z = 1.2 in a normally-distributed population with mean 30 and standard deviation 4.

The Normal Distribution and Standard Scores

1.2, 30, 4z x z 30 1.2 4

25.2x

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Do you have any QUESTIONs?

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

Recall that areas under normal curves correspond to probabilities or percent of scores.PROBABILITY CORRESPONDING AREA

P(X > a) to the right of aP(X < a) to the left of a

P( a < X < b) between a and bNOTE: The area won’t change even if “>” and “<” are replaced by “” and “”, respectively.

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

To determine the probabilities or percent that values of X in a normally-distributed population fall on a particular interval:STEP 1 – Convert the x scores to z-scores. STEP 2 – Draw the region defined by the z scores.STEP 3 – Locate the areas corresponding to the z scores using the table.STEP 4 – Find the area of the indicated region.

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

7In the Oral Comm test given by Sir Aldous, the mean score is 60 with standard deviation 6.

Assuming that the scores are normally-distributed, what is the probability that a randomly-selected student has a scorea. between 60 and 65? P(60 < X <

65)b. greater than 65? P(X > 65)c. between 50 and 65? P(50 < X < 65)

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

7a. Convert x = 60 and x = 65 to z-

scores 1 60, 60, 6x

11

xz

60 606

1 0z

2 65, 60, 6x

22

xz

65 606

2 0.83z

0.83

The area can be directly read in the table: 0.2967. Hence,P(0 < X < 65) = 0.2967

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

7b. Convert x = 65 to z-score

65, 60, 6x

xz

65 60

6 0.83The area corresponding to z = 0.83 is 0.2967. P(X < 65) = P(Z < 0.83)

= 0.5 + 0.2967= 0.79670.83

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Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

8In a university, the average number of years a person takes to complete a master’s degree program is 3 and the standard deviation is 4 months.

Assume the variable is normally distributed. If an individual enrolls in the program, find the probability that it will takea. more than 4 years to complete the program.b. less than 3 years to complete the program.c. between 3.8 and 4.5 years to complete the programd. between 2.5 and 3.1 years to complete the programs.

Page 37: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Probabilities and Standardized Scores

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

9The mean age of a population of 10,000 is 56 years old, with standard deviation of 5 years. If the ages are normally-distributed, how manya. have ages between 40 and 45 years?

b. are senior citizens?c. are teenagers?d. are ages 56 years old and below?

Page 38: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Standardized Scores and Percentiles

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

Recall that• a percentile is a measure of relative

standing or position. It is a descriptive measure of the relationship of a measurement to the rest of the data.

• a score x is in the kth percentile rank (Pk) if k% of the scores are equal or below x.

Page 39: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Standardized Scores and Percentiles

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

Percentile and z-scores A probability value corresponds to an area

under the normal curve. In the Table of Areas Under the Normal

Curve, the numbers in the extreme left and across the top are z-scores, which are the distances along the horizontal scale. The numbers in the body of the table are areas or probabilities.

The z-scores to the left of the mean are negative values.

Page 40: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Standardized Scores and Percentiles

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

Percentile and z-scores Recall that a probability corresponds

to a percent or proportion; e.g. a probability of 0.4922 is the same as a probability of 49.22%

Since x = Pk represents scores LESS that or equal to x, the region representing a percentile rank in a normal distribution is the same as P(X < x).

Page 41: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

CABT Statistics & Probability – Grade 11 Lecture Presentation

The Normal Distribution and Standard Scores

10In an examination, the scores are normally distributed with mean 20 and the standard deviation 2. Determine the percentile ranks of the following scores:a. 18 (15.87% - 16th

percentile)b. 25 (99.38% - 99th

percentile)

Standardized Scores and Percentiles

Page 42: CABT SHS Statistics & Probability - The z-scores and Problems involving Normal Distributions

Do you have any QUESTIONs?

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Summing it up!

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Thank you!