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EX. 4 Adult IQ scores are normally distributes with µ=100 and σ= 15. Estimate the probability that a randomly chosen adult has an IQ between 70 and 115.

Ex. 5 Estimate the probability that a randomly chosen adult has an IQ between 85 and 145.

Ex. 6 Given a normally distributed data set of 500 observations measuring tree heights in a forest

what is the approximate number of observations that fall within two standard deviations

from the mean?

Ex. 7(if needed) A normally distributed data set containing the number of ball bearings produced

during a specified interval of time has a mean of 150 and a standard deviation of 10. What

percentage of the observed values fall between 140 and 160?

Z-Scores

When you have a standard normal distribution, the horizontal scale of the graph of of the standard normal distribution corresponds to z-scores. A z-score is the measure of position that indicates the number of standard deviations a value lies from the mean.



Looking at the data gathered yesterday from every student’s height, what would be your z-score?



Ex 8. Suppose a student sits 2 exams, getting 55 in a verbal test and 60 in a numerical reasoning test. The class scores for each exam are normally distributed. For the verbal test, the mean is 50 and standard deviation 5; for the numerical test, the mean is 50 and standard deviation is 12.What test did he do better on?

Using the standard Normal Table(The table gives the value to the left of the number)

Ex.9 Find the cumulative area that corresponds to z=3

Ex.10 Find the cumulative area that corresponds to z= -1

Ex.11 Find the cumulative area that corresponds to a z-score of 1.15

Ex.12 Find the cumulative area that corresponds to a z-score of -0.24
Using your calculator

normalcdf(lower bound, upper bound, mean, standard deviation)


Ex. 13 Team A Quiz Scores = {72, 76, 80, 80, 81, 83, 84, 85, 85, 89}

Find the

Mean = __________ Standard deviation = __________ z-score for “89”. = ________

Ex. 14 Team B Quiz Scores = {57, 63, 65, 71, 83, 93, 94, 95, 96, 98}

Find the

Mean = _________ Standard deviation = _________ z-score for “57”. = ________
To find the area to the left, use the value on the table. To find the area to the right, do 1-the value on the table.

Ex. 15 Find the area to the left that of z=1

Ex. 16 Find the area to the right of z= -2

Ex. 17 Find the area to the left of z= - 3.4

Ex. 18 Find the area to the right of z= 2.7

Using z-scores to find Probabilities.

P(x>y) Means the probability of x greater than y.



P(x





EX. 19The lengths of Atlantic croaker fish are normally distributed, with a mean of 10 inches and a standard deviation of 2 inches. An Atlantic croaker fish is randomly selected.

  1. Find the probability that the length of the fish is less than 7 inches.



  1. Find the probability that the length of the fish is between 7 and 15 inches.



  1. Find the probability that the length of the fish is more than 15 inches.

Using percentiles to find the z-scores.

When the problem gives you the percentile, look in the table to find the percentile closest.

This will give you your z-score. To use the calculator, you need to use the invNorm command.

invNorm(percentage,mean,standard deviation)



Ex. 20 The Welcher Adult Intelligence Test Scale is composed of a number of subtests. On one subtest, the raw scores have a mean of 35 and a standard deviation of 6. Assuming these raw scores form a normal distribution:

    1. What number represents the 65th percentile (what number separates the lower 65% of the distribution)?



    1. What number represents the 90th percentile?


Ex. 21 Scores on the SAT form a normal distribution with and .

  1. What is the minimum score necessary to be in the top 15% of the SAT distribution?



  1. Find the range of values that defines the middle 80% of the distribution of SAT scores (372 and 628).


Using z-scores to find data

Practice Problems.

Donna’s boss asked her to purchase a large number of 20-watt florescent light bulbs for their

company. She has narrowed her search to two companies offering 20-watt bulbs for the same

price. The Bulb Emporium and Lights-R-Us each claim that the mean lifespan for their 20-watt

bulbs is 10,000 hours. The lifespan of light bulbs has a distribution that is approximately

normal. The Bulb Emporium’s distribution of the lifespan for 20-watt bulbs has a standard

deviation of 1,000 hours and Lights-R-Us’ distribution of the lifespan of 20-watt bulbs has a

standard deviation of 750 hours. Donna’s boss asked her to use probabilities associated with

these normal distributions to make a purchasing decision.

Donna decided that she would compare the proportion of light bulbs from each company that

would be expected to last for different intervals of time. She started with calculating the

probability that a light bulb would be expected to last less than or equal to 9,000 hours. Letting x

represent the lifespan of a light bulb, P(x≤ 9,000 hours) represents the probability that the

lifespan of a light bulb would fall less than or equal to 9,000 hours in its normal distribution.

Donna continued by finding P(9,000 ≤ x ≤11,000 hours) and P(x ≥11,000 hours) for each

company.

The ACT® is an achievement test given nationally with normally distributed scores. Amy scored

a 31 on the mathematics portion of her 2009 ACT®. The mean for the mathematics portion of

the ACT® in 2009 was 21.0 and the standard deviation was 5.3. What percent of the population

scored higher than Amy on the mathematics portion of the ACT®?
Amy took the ACT® and scored 31 on the mathematics portion of the test. Her friend Stephanie

scored a 720 on the mathematics portion of her 2009 SAT®. Both the SAT® and the ACT® are

achievement tests given nationally with scores that are normally distributed. The mean for the

mathematics portion of the SAT® in 2009 was 515 and the standard deviation was 116. For the



ACT®, the mean was 21 and the standard deviation was 5.3. Whose achievement was higher on

the mathematics portion of their national achievement test?

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