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The Normal Distribution

Normal Distributions

37 Practice Problems
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01:36
Understandable Statistics, Concepts and Methods

The manager of Motel 11 has 316 rooms in Palo Alto, California. From observation over a long period of time, she knows that on an average night, 268 rooms will be rented. The long-term standard deviation is 12 rooms. This distribution is approximately mound-shaped and symmetric.
(a) For 10 consecutive nights, the following numbers of rooms were rented each night:
$$\begin{array}{l|cccccc}
\hline \text { Night } & 1 & 2 & 3 & 4 & 5 & 6 \\
\hline \text { Number of rooms } & 234 & 258 & 265 & 271 & 283 & 267 \\
\hline & & & & & & \\
\hline \text { Night } & 7 & 8 & 9 & 10 & & \\
\hline \text { Number of rooms } & 290 & 286 & 263 & 240 & & \\
\hline
\end{array}$$
Make a control chart for the number of rooms rented each night, and plot the preceding data on the control chart. Interpretation Looking at the control chart, would you say the number of rooms rented during this 10-night period has been unusually low? unusually high? about what you expected? Explain your answer. Identify all out-of-control signals by type (I, II, or III).
Make a control chart for the number of rooms rented each night, and plot the preceding data on the control chart. Interpretation Looking at the control chart, would you say the number of rooms rented during this 10-night period has been unusually low? unusually high? about what you expected? Explain your answer. Identify all out-of-control signals by type (I, II, or III).
(b) For another 10 consecutive nights, the following numbers of rooms were rented each night:
$$\begin{array}{l|cccccc}
\hline \text { Night } & 1 & 2 & 3 & 4 & 5 & 6 \\
\hline \text { Number of rooms } & 238 & 245 & 261 & 269 & 273 & 250 \\
\hline & & & & & & \\
\hline \text { Night } & 7 & 8 & 9 & 10 & & \\
\hline \text { Number of rooms } & 241 & 230 & 215 & 217 & & \\
\hline
\end{array}$$
Make a control chart for the number of rooms rented each night, and plot the preceding data on the control chart. Would you say the room occupancy has been high? low? about what you expected? Explain your answer. Identify all out-of-control signals by type (I, II, or IIII).

Normal Curves and Sampling Distributions
Graphs of Normal Probability Distributions
Marc Lauzon
01:30
Understandable Statistics, Concepts and Methods

“Effect of Helium-Neon Laser Auriculotherapy on Experimental Pain Threshold" is the title of an article in the journal Physical Therapy (Vol. 70, No. 1, pp. 24-30). In this article, laser therapy was discussed as a useful alternative to drugs in pain management of chronically ill patients. To measure pain threshold, a machine was used that delivered low-voltage direct current to different parts of the body (wrist, neck, and back). The machine measured current in milliamperes (mA). The pretreatment experimental group in the study had an average threshold of pain (pain was first detectable) at $\mu=3.15 \mathrm{mA}$ with standard deviation $\sigma=1.45 \mathrm{mA}$. Assume that the distribution of threshold pain, measured in milliamperes, is symmetric and more or less mound-shaped. Use the empirical rule to
(a) estimate a range of milliamperes centered about the mean in which about $68 \%$ of the experimental group had a threshold of pain.
(b) estimate a range of milliamperes centered about the mean in which about $95 \%$ of the experimental group had a threshold of pain.

Normal Curves and Sampling Distributions
Graphs of Normal Probability Distributions
Trinity Steen
02:13
Understandable Statistics, Concepts and Methods

Assuming that the heights of college women are normally distributed with mean 65 inches and standard deviation 2.5 inches (based on information from Statistical Abstract of the United States, 112th edition), answer the following questions. Hint: Use Problems 5 and 6 and Figure $6-3$
(a) What percentage of women are taller than 65 inches?
(b) What percentage of women are shorter than 65 inches?
(c) What percentage of women are between 62.5 inches and 67.5 inches?
(d) What percentage of women are between 60 inches and 70 inches?

Normal Curves and Sampling Distributions
Graphs of Normal Probability Distributions
Trinity Steen

Applications of the Normal Distribution

26 Practice Problems
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02:19
Elementary Statistics

Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9 - 1 along with "Table" answers based on Table $A$ - 3 with df equal to the smaller of $\boldsymbol{n}_{I}-\boldsymbol{I}$ and $\boldsymbol{n}_{2}-\boldsymbol{I} .$ )
Are Male Professors and Female Professors Rated Differently? Listed below are student evaluation scores of female professors and male professors from Data Set 17 "Course Evaluations" in Appendix B. Test the claim that female professors and male professors have the same mean evaluation ratings. Does there appear to be a difference?
$$\begin{array}{l|c|c|c|c|c|c|c|c|c|c}
\hline \text { Females } & 4.4 & 3.4 & 4.8 & 2.9 & 4.4 & 4.9 & 3.5 & 3.7 & 3.4 & 4.8 \\
\hline \text { Males } & 4.0 & 3.6 & 4.1 & 4.1 & 3.5 & 4.6 & 4.0 & 4.3 & 4.5 & 4.3 \\
\hline\end{array}$$

Inferences from Two Samples
Two Means: Independent Samples
Sheryl Ezze
06:09
Elementary Statistics

Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9 - 1 along with "Table" answers based on Table $A$ - 3 with df equal to the smaller of $\boldsymbol{n}_{I}-\boldsymbol{I}$ and $\boldsymbol{n}_{2}-\boldsymbol{I} .$ )
Are Male Professors and Female Professors Rated Differently?
a. Use a 0.05 significance level to test the claim that two samples of course evaluation scores are from populations with the same mean. Use these summary statistics: Female professors:
$n=40, \bar{x}=3.79, s=0.51 ;$ male professors: $n=53, \bar{x}=4.01, s=0.53 .$ (Using the raw data in Data Set 17 "Course Evaluations" will yield different results.)
b. Using the summary statistics given in part (a), construct a $95 \%$ confidence interval estimate of the difference between the mean course evaluation score for female professors and male professors.
c. Example 1 used similar sample data with samples of size 12 and $15,$ and Example 1 led to the conclusion that there is not sufficient evidence to warrant rejection of the null hypothesis. Do the larger samples in this exercise affect the results much?

Inferences from Two Samples
Two Means: Independent Samples
Sheryl Ezze
04:34
Elementary Statistics

Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9 - 1 along with "Table" answers based on Table $A$ - 3 with df equal to the smaller of $\boldsymbol{n}_{I}-\boldsymbol{I}$ and $\boldsymbol{n}_{2}-\boldsymbol{I} .$ )
Regular Coke and Diet Coke Data Set 26 "Cola Weights and Volumes" in Appendix B includes weights (b) of the contents of cans of Diet Coke $(n=36, \bar{x}=0.78479 \text { lb, } s=0.00439$ lb) and of the contents of cans of regular Coke $(n=36, \bar{x}=0.81682 \mathrm{lb}, s=0.00751 \mathrm{lb})$
a. Use a 0.05 significance level to test the claim that the contents of cans of Diet Coke have weights with a mean that is less than the mean for regular Coke.
b. Construct the confidence interval appropriate for the hypothesis test in part (a).
c. Can you explain why cans of Diet Coke would weigh less than cans of regular Coke?

Inferences from Two Samples
Two Means: Independent Samples
Sheryl Ezze

The Central limit Theorem

17 Practice Problems
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02:23
Understandable Statistics, Concepts and Methods

It's true- sand dunes in Colorado rival sand dunes of the Great Sahara Desert! The highest dunes at Great Sand Dunes National Monument can exceed the highest dunes in the Great Sahara, extending over 700 feet in height. However, like all sand dunes, they tend to move around in the wind. This can cause a bit of trouble for temporary structures located near the "escaping" dunes. Roads, parking lots, campgrounds, small buildings, trees, and other vegetation are destroyed when a sand dune moves in and takes over. Such dunes are called "escape dunes" in the sense that they move out of the main body of sand dunes and, by the force of nature (prevailing winds), take over whatever space they choose to occupy. In most cases, dune movement does not occur quickly. An escape dune can take years to relocate itself. Just how fast does an escape dune move? Let $x$ be a random variable representing movement (in feet per year) of such sand dunes (measured from the crest of the dune). Let us assume that $x$ has a normal distribution with $\mu=17$ feet per year and $\sigma=3.3$ feet per year. (For more information, see Hydrologic, Geologic, and Biologic Research at Great Sand Dunes National Monument and Vicinity, Colorado, proceedings of the National Park Service Research Symposium.)
Under the influence of prevailing wind patterns, what is the probability that
(a) an escape dune will move a total distance of more than 90 feet in 5 years?
(b) an escape dune will move a total distance of less than 80 feet in 5 years?
(c) an escape dune will move a total distance of between 80 and 90 feet in 5 years?

Normal Curves and Sampling Distributions
The Central Limit Theorem
Hossam Mohamed
03:20
Understandable Statistics, Concepts and Methods

Let $x$ be a random variable that represents the weights in kilograms (kg) of healthy adult female deer (does) in December in Mesa Verde National Park. Then $x$ has a distribution that is approximately normal, with mean $\mu=63.0 \mathrm{kg}$ and standard deviation $\sigma=7.1 \mathrm{kg}$ (Source: The Mule Deer of Mesa Verde National Park, by G. W. Micrau and J. L. Schmidt,
Mesa Verde Museum Association). Suppose a doe that weighs less than $54 \mathrm{kg}$
is considered undernourished.
(a) What is the probability that a single doe captured (weighed and released) at random in December is undernourished?
(b) If the park has about 2200 does, what number do you expect to be undernourished in December?
(c) Interpretation To estimate the health of the December doe population, park rangers use the rule that the average weight of $n=50$ does should be more than $60 \mathrm{kg}$. If the average weight is less than $60 \mathrm{kg}$, it is thought that the entire population of does might be undernourished. What is the probability that the average weight $\bar{x}$ for a random sample of 50 does is less than $60 \mathrm{kg}$ (assume a healthy population)?
(d) Interpretation Compute the probability that $\bar{x}<64.2 \mathrm{kg}$ for 50 does (assume a healthy population). Suppose park rangers captured, weighed, and released 50 does in December, and the average weight was $\bar{x}=64.2 \mathrm{kg} .$ Do you think the doe population is undernourished or not? Explain.

Normal Curves and Sampling Distributions
The Central Limit Theorem
Sheryl Ezze
03:35
Understandable Statistics, Concepts and Methods

The heights of 18 -year-old men are approximately normally distributed, with mean 68 inches and standard deviation 3 inches (based on information from Statistical Abstract of the United States, 112 th edition
(a) What is the probability that an 18 -ycar-old man selected at random is between 67 and 69 inches tall?
(b) If a random sample of nine 18 -ycar-old men is selected, what is the probability that the mean height $\bar{x}$ is between 67 and 69 inches?
(c) Interpretation Compare your answers to parts (a) and (b). Is the probability in part (b) much higher? Why would you expect this?

Normal Curves and Sampling Distributions
The Central Limit Theorem
Sheryl Ezze

The Normal Approximation to the Binomial Distribution

31 Practice Problems
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00:37
Understandable Statistics, Concepts and Methods

Under what conditions is it appropriate to use a normal distribution to approximate the $\hat{p}$ distribution?

Normal Curves and Sampling Distributions
Normal Approximation to Binomial Distribution and to $\hat{p}$ Distribution
Hossam Mohamed
04:36
Understandable Statistics, Concepts and Methods

Ice Cream: Flavors What's your favorite ice cream flavor? For people who buy ice cream, the all-time favorite is still vanilla. About $25 \%$ of ice cream sales are vanilla. Chocolate accounts for only $9 \%$ of ice cream sales. (See reference in Problem 8.) Suppose that 175 customers go to a grocery store in Cheyenne, Wyoming today to buy ice cream.
(a) What is the probability that 50 or more will buy vanilla?
(b) What is the probability that 12 or more will buy chocolate?
(c) A customer who buys ice cream is not limited to one container or one flavor. What is the probability that someone who is buying ice cream will buy chocolate or vanilla? Hint: Chocolate flavor and vanilla flavor are not mutually exclusive events. Assume that the choice to buy one flavor is independent of the choice to buy another flavor. Then use the multiplication rule for independent events, together with the addition rule for events that are not mutually exclusive, to compute the requested probability. (See Section 4.2.)
(d) What is the probability that between 50 and 60 customers will buy chocolate or vanilla ice cream? Hint: Use the probability of success computed in part (c).

Normal Curves and Sampling Distributions
Normal Approximation to Binomial Distribution and to $\hat{p}$ Distribution
Hossam Mohamed
02:42
Understandable Statistics, Concepts and Methods

Fishing: Billfish Ocean fishing for billfish is very popular in the Cozumel region of Mexico. In World Record Game Fishes (published by the International Game Fish Association), it was stated that in the Cozumel region, about $44 \%$ of strikes (while trolling) result in a catch. Suppose that on a given day a fleet of fishing boats got a total of 24 strikes. What is the probability that the number of fish caught was
(a) 12 or fewer?
(b) 5 or more?
(c) between 5 and $12 ?$

Normal Curves and Sampling Distributions
Normal Approximation to Binomial Distribution and to $\hat{p}$ Distribution
Hossam Mohamed

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