The Normal Curve

Curve by JasonUnbound

The table shows the lengths in millimetres of 52 arrowheads.16 16 17 17 18 18 18 18 19 20 20 21 2121 22 22 22 23 23 23 24 24 25 25 25 2626 26 26 27 27 27 27 27 28 28 28 28 2930 30 30 30 30 30 31 33 33 34 35 39 40

(a) Calculate the mean length and the standard deviation.

(d) What percent of the arrowheads are within one standard deviation of the mean length?

(c) How many arrowheads are within one standard deviation of the mean?

(b) Determine the lengths of arrowheads one standard deviation below and one standard deviation above the mean.

HOMEWORK

North American women have a mean height of 161.5 cm and a standard deviation of 6.3 cm.

(b) The manufacturer designs the seats to fit women with a maximum z-score of 2.8. How tall is a woman with a z-score of 2.8?

(a) A car designer designs car seats to fit women taller than 159.0 cm. What is the z-score of a woman who is 159.0 cm tall?

Four hundred people were surveyed to find how many videos they had rented during the last month. Determine the mean and median of the frequency distribution shown below, and draw a probability distribution histogram. Also, determine the mode by inspecting the frequency distribution and the histogram.

No. of Videos Returned No. of Persons 1 28 2 102 3 160 4 70 5 25 6 13 7 0 8 2

HOMEWORK

The table shows the weights (in pounds) of 125 newborn infants. The first column shows the weight interval, the second column the average weight within each weight interval, and the third column the number of newborn infants at each weight.(a) Calculate the mean weight and standard deviation.

weight interval mean interval # of infants 3.5 to 4.5 4 4 4.5 to 5.5 5 11 5.5 to 6.5 6 19 6.5 to 7.5 7 33 7.5 to 8.5 8 29 8.5 to 9.5 9 17 9.5 to 10.5 10 8 10.5 to 11.5 11 4 Total 125

(d) What percent of the infants have weights that are within one standard deviation of the mean weight?

(c) Determine the number of infants whose weights are within one standard deviation of the mean weight.

(b) Calculate the weight of an infant at one standard deviation below the mean weight, and one standard deviation above the mean.

HOMEWORK

A survey was conducted at DMCI to determine the number of music CDs each student owned. The results of the survey showed that the average number of CDs per student was 73 with a standard deviation of 24. After the scores were standardized, the people doing the survey discovered that DJ Chunky had a z-score rating of 2.9. How many CDs does Chunky have?

HOMEWORK

The contents in the cans of several cases of soft drinks were tested. The mean contents per can is 356 mL, and the standard deviation is 1.5 mL.

(b) Two other cans had z-scores of -3 and 1.85. How many mL did each contain?

(a) Two cans were randomly selected and tested. One can held 358 mL, and the other can 352 mL. Calculate the z-score of each.

HOMEWORK

North American women have a mean height of 161.5 cm and a standard deviation of 6.3 cm.

(b) The manufacturer designs the seats to fit women with a maximum z-score of 2.8. How tall is a woman with a z-score of 2.8?

(a) A car designer designs car seats to fit women taller than 159.0 cm. What is the z-score of a woman who is 159.0 cm tall?

HOMEWORK

A Normal Distribution is a frequency distribution that can be represented by a symmetrical bell-shaped curve which shows that most of the data are concentrated around the centre (i.e., mean) of the distribution. The mean, median, and mode are all equal. Since the median is the same as the mean, 50 percent of the data are lower than the mean, and 50 percent are higher. The frequency distribution showing light bulb life, for example, shows that the mean is 970 hours, and the hours of life for all the bulbs are spread uniformly about the mean.

The Normal Distribution

The Normal Distribution

The diagram above represents a normal distribution. In real life, the data would never fit a normal distribution perfectly. There are, however, many situations where data do approximate a normal distribution. Some examples would include:

• the heights and weights of adult males in North America • the times for athletes to run 5000 metres • the speed of cars on a busy highway • the weights of loonies produced at the Winnipeg Mint

Note that all the examples represent continuous data.

Properties of a Normal Distribution

Interactivate Normal Distribution

• 99.7% of all the data lies within approximately 3 standard deviations of the mean. • All normal distributions are symetrical about the mean. • Each value of mean and standard deviation determines a different normal distributions. • The area under the curve always equals one. • The x-axis is an asymptote for the curve.

Frequency

Scores

The 68-95-99 Rule

• 68% of all the data in a normal distribution lie within the 1 standard deviation of the mean,

• 95% of all the data lie within 2 standard deviations of the mean, and • 99.7% of all the data lie within standard deviations of the mean.

Generally speaking, approximately:

Properties of a Normal Distribution

The curve is symmetrical about the mean. Most of the data are relatively close to the mean, and the number of data decrease as you get farther from the mean.

Properties of a Normal Distribution

The shape of any normal distribution curve is determined by:

• the mean (μ) • the standard deviation (σ)

Changing the mean will shift the graph horizontally.

Changing the standard deviation will change the shape of the curve, making it narrow or wide.

Properties of a Normal Distribution

The data are continuous and distributed evenly around the mean, and the graph created by the data is a bell-shaped curve, as shown in the examples below.

These curves represent data sets that have the same mean, but different standard deviations. Which one has a larger standard deviation (σ)?

How can you tell?

Properties of a Normal Distribution

The data below shows the ages in years of 30 trees in an area of natural vegetation.

Determine whether the data approximate the normal distribution.

37 15 34 26 25 38 19 22 21 2842 18 27 32 19 17 29 28 24 3535 20 23 36 21 39 16 40 18 41

USING the 68 -95-97 RULE

The data below shows the ages in years of 30 trees in an area of natural vegetation.

Determine whether the data approximate the normal distribution.

37 15 34 26 25 38 19 22 21 2842 18 27 32 19 17 29 28 24 3535 20 23 36 21 39 16 40 18 41

The chart shows the sizes of pants sold in one week at Dan's Clothing Shop.

38 34 42 40 42 32 30 3440 38 40 38 36 42 44 4238 36 36 42 36 46 40 3840 36 44 36 38 34 38 40

Determine whether the data approximate the normal distribution.

Now let's try a problem involving Grouped Data

A machine is used to fill bags with beans. The machine is set to add 10 kilograms of beans to each bag. The table shows the weights of 277 bags that were randomly selected.

wt in kg 9.5 9.6 9.7 9.8 9.9 10.0 10.1 10.2 10.3 10.4 10.5# of bags 1 3 13 25 41 66 52 41 25 7 3

(a) Are the weights normally distributed? How do you know?

(b) Do you think that using the machine is acceptable and fair to the customers? Explain your reasoning.

HOMEWORKThe following are the number of steak dinners served on 50 consecutive Sundays at a restaurant.

Draw a suitable histogram that has five bars.

41 52 46 42 46 36 44 68 58 4449 48 48 65 52 50 45 72 45 4347 49 57 44 48 49 45 47 48 4345 56 61 54 51 47 42 53 44 4558 55 43 63 38 42 43 46 49 47

The diagram shows a normal distribution with a mean of 28 and a standard deviation of 4. The values represent the number of standard deviations above and below the mean. Replace the numbers with raw scores.

HOMEWORK

The frequency table shows the ages of all the students in Senior 4 Math at Newberry High. Find the mean, μ. Then calculate the percent of students older than the mean age. How does this compare to the percent of students older than the mean age if the distribution were a normal distribution?

Age of Student 15 16 17 18 19 20 21 22# of Students 1 7 42 24 7 4 2 1

HOMEWORK

Based on this answer, does it seem that the students' ages approximate a normal distribution?