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Chapter 6 Normal DistributionsPowerPoint Presentation

Chapter 6 Normal Distributions

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Chapter 6 Normal Distributions

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Chapter 6 Normal Distributions

- The curve is bell-shaped, with the highest point over the mean
- The curve is symmetrical about a vertical line through
- The curve approaches the horizontal axis but never touches or crosses it
- The inflection (transition) points between cupping upward and downward occur above

Do these distributions have the same mean?

Compare the two graphs, what can you tell me about the standard deviation?

- A) Both graphs have the same mean
- B) Red curve has a smaller standard deviation because the data is more compressed. Black curve has a bigger standard deviation because the data is more spread out.

- For a distribution that is symmetrical and bell-shaped (normal distribution):
- Approximately 68% of the data values will lie within one standard deviation on each side of the mean
- Approximately 95% of the data values will lie within two standard deviations on each side of the mean
- Approximately 99.7% of the data values will lie within three standard deviations on each side of the mean

- Check Chebyshev’s theorem. What are the similarities and differences between them?

- Empirical rule gives a stronger statement than Chebyshev’s theorem in it gives definite percentages, not just lower limits.

- The yearly corn per acre on a particular farm is normally distributed with mean = 60 and standard deviation of 7. Create the normal distribution curve.

- 49 56 63 60 67 74 81

- The playing life of a Sunshine radio is normally distributed with mean 600 hours and standard deviation of 100 hours. What is the probability that a radio selected at random will last from 600 to 700 hours?

- 34.1%

- If you have TI-83/TI-84
- Press the Y= key. Then, under DISTR, select 1:normalpdf and fill in desired values. Press the WINDOW key. Set Xmin to Finally, press the ZOOM key and select option 0: ZoomFit

- It gives us how reliable are the data
- Used for control charts

- It is useful when we are examining data over a period of equally spaced time interval or in some sequential order.

- 1) Find the mean and standard deviation of the x distribution by
- A) Using past data from a period during which the process was “in control” or
- B) using specified “target” values for

- 2) Create a graph in which the vertical axis represents x values and the horizontal axis represents time.
- 3) Draw a horizontal line at height
- 4) Plot the variable x on the graph in time sequence order. Use line segments to connect the points in time sequence order

Find the mean and the standard deviation (population)

Find

Find control limit

- Mean = 18.53
- Standard deviation = 5.82

- Ms. Tamara of the Antlers Lodge examines the control chart for housekeeping. During the staff meeting, she makes recommendations about improving service or, if all is going well, she gives her staff a well-deserved “pat in the back”. Determine if the housekeeping process is out of control

- Graph to the left: there are 9 consecutive days on one side of the mean. It is a warning signal. It would mean that the mean is slowly drifting upward from 19.3.
- Graph to the right: We have data value beyond . We have two of three data values beyond . Both are warning signals.

- Pg 244 #1-7, 11,13

- Normal distributions vary from one another in two ways: The mean may be located anywhere on the x axis, and the bell shape may be more or less spread according to the size of the standard deviation

- Suppose you have two students comparing their test result in two different classes.
- Jack got a 76 while the class average was a 66
- Jill got an 82 while the class scored 72
- Both scored 10 points above the mean.
- How do we determine who did better in respect to their peers in the class?

- You have to use the z test or z score because you want to know the position in term of the standard deviation away from the mean.

- Z value or z score gives the number of standard deviations between the original measurement x and the mean of the x distribution

- Unless otherwise stated, in the remainder of the book we will take the word average to be either the sample arithmetic mean or population mean.

- Suppose the company states that their average large pizza is 10 inches in diameter and the standard deviation is 0.7 inches. A customer ordered a pizza and found out it is of 7 inches. Assume the pizza follows a normal distribution. If the size of the pizza is below three standard deviation, the company would be in danger of getting customer complaints and have a bad name in its company.
- How many standard deviation s from the mean is 7? Is the company going to be in trouble?

- It is 4.28 below the mean, and therefore the company is in trouble.

- (Fake Data) National weigh average for men at 5’8 is 139 lbs with a standard deviation of 15.7. If you are 5’8 and weigh 171 lbs. Find the z score. Should you be concerned?

- Answer may vary depending how you think of it. If you consider outlier is when z=2.5 or more then no, but if you say that he is not with the 95% (within 2 standard deviation) then he should. (based on empirical rule)

- How would you find the raw score x if you are given the z score, mean and standard deviation?

- Based on your experience, it takes you on average of 15 minutes to walk to school with standard deviation of 2 minutes.
- A)On one particular day, it took you 12 minutes to get to school. What is the z score? Is the z value positive or negative? Why?
- B) What would be the commuting time corresponding to a standard score of z=-2.5?

- A) z=-1.5. It is negative because it is shorter than the expected time.
- B) 10 minutes

- Standard normal distribution is a normal distribution with mean and standard deviation

- Look at Appendix II Table 5 on A22

- What is the value for and sketch the graph:
- A) z=1.18
- B) z=-2.35
- C) z=0.56
- D) z=-3.34

- What’s the value for:
- A) z>1.25
- B) values in between z=1.21 and z=2.36
- C) values to the right of 0.95
- D) values in between z=-2.75 and z=1.38

- Pg 256 #1-48 eoe

- Let x have a normal distribution with Find the probability that an x value selected at random is between (5 and 8).

- You have to convert the x into z score:
- .6293-.2546=.3747

- A typical iphone have a battery life that is normally distributed with a mean of 18 hours with a standard deviation of 2 hours. What is the probability that an iphone will have a battery life that is greater than 24 hours?

- .0013

- For TI 83/TI 84
- Press DISTR key, select 2:normalcdf

- A company sells a hybrid battery that has a mean life of 8 years with standard deviation of 2 years. How long can the company guarantee its warranty such that they do not want to refund on more than 5% of the hybrid battery?

- Since refund only occur when it falls below the mean. It is on the left side of the normal distribution curve. When is z such that it is .05?
- Z=-1.645
- Using the formula

- A company sells a product that has a mean shell life of 60 month with the standard deviation of 5 months. How long can the company guarantee its warranty such that they do not want to refund on more than 7% of the product?

- you have to use z=-1.48
- -1.48*5+60=52.6 months

- Find the z value such that 90% of the area under the standard normal curve lies between –z and z

- Z values between -1.645 and 1.645

- Find the z value such that 80% of the area under the standard normal curve lies between –z and z

- Find the z value such that 75% of the area under the standard normal curve lies between –z and z

- Example find an x value from a normal distribution with mean 40 and standard deviation 5 such that 97% of the area lies to left of x
- TI 83/TI 84: press DISTR key and select 3:invNorm

- How do we tell if data follow a normal distribution?
- 1) Make a histogram, it should be roughly bell-shaped
- 2) Outliers. Make a box-and-whiskers plot (5 number summary)
- Outliers are either greater than Q3+1.5(IQR) or below Q1-1.5(IQR)

- 3) Skewness: Pearson’s index
- Skewed distributions are not normal
4) Normal quantile plot (or normal probability plot)

- for TI 83/TI 84, put all the data in the calculator under edit, then turn on STATPLOT then highlight the sixth plot option
- It should look like a straight line

- Skewed distributions are not normal

- Pg 267 #1-30 eoe, 31

- Consider a binomial distribution where
- If np>5 and nq>5, then r has a binomial distribution that is approximated by a normal distribution with
- As n increases, the approximation becomes better

- Find the of the binomial distributions for which p=0.25, q=0.75, and the number of trials is first n=3, n=10, then n=25 and then n=50

- Find the

- Remember how to graph the binomial distribution? Remember how you have to incorporate the 0.5?
- For example when r=5, you draw the binomial distribution from 4.5 to 5.5.

- Convert the discrete random variable r (number of successes) to the continuous normal random variable x by doing the following:
- 1) If r is a left point of an interval, subtract 0.5 to obtain the corresponding normal variable x; that is, x=r-0.5
- 2) If r is a right point of an interval, add 0.5 to obtain the correspoinding normal variable x: that is, x=r+0.5
- For instance, where r is a binomial random variable is approximated by , where x is the corresponding normal random variable.

- The owner of a new apartment building must install 25 water heaters. From past experience in other apartment buildings, she knows that Quick Hot is a good brand. A Quick hot heater is guaranteed for 5 years only, but from the owner’s past experience, she knows that the probability it will last 10 years is 0.25.
- A) What is the probability that 8 or more of the 25 water heaters will last at least 10 years?
- B) How does this result compare with the result we can obtain by using the formula for the binomial probability distribution with n=25 and p=0.25?
- C) How do the results of part a and b compare?

- A) since n=25 and p=0.25, r is the binomial random variable corresponding to the number of successes out of n=25. We want to find .
- so, 1-0.7190=0.2810
- B) Using TI83/TI84 you get 0.2735
- C) The error is only .0075, which is small.

- The Denver Post stated that 80% of all new products introduced in grocery stores fail (are taken off the market) within 2 years. If a grocery store chain introduces 66 new products, what is the probability that within 2 years
- A) 47 or more fail?
- B) 58 of fewer fail?
- C) 15 or more succeed?
- D) fewer than 10 succeed?

- >5, >5, yes I can use normal approx to binomial distribution
- 1) =-1.94 = .0262, so 1-.0262=.9738
- 2)=1.75= .9599
- 3)
- 4)

- It is estimated that 3.5% of the general population will live past their 90th birthday. In a graduating class of 753 high school seniors, what is the probability that
- A) 15 or more will live beyond their 90th birthday?
- B) 30 or more will live beyond their 90th birthday?
- C) Between 25 and 35 will live beyond their 90th birthday?
- D) more than 40 will live beyond their 90th birthday?

- >5, >5, yes I can use normal approx to binomial distribution
- 1) =-2.35=.0094 so, 1-.0094=.9906
- 2)=.62=.7324 so, 1-.7324=.2676
- 3)=-.37=.3557,
- 4)=2.81=.9975=1-.9975=.0025

- Pg 278 #1-14 eoo