Lesson 12: Manufactured Homes and Owner Financing
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- Exam 2 Results
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- Guest Speaker: Ben Vonderwahl
Category: Teaching
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Exam2 | |
Mean | 85.1 |
Standard Error | 1.5 |
Median | 86.9 |
Mode | 97.2 |
Standard Deviation | 11.9 |
Sample Variance | 140.9 |
Kurtosis | 2.7 |
Skewness | -1.3 |
Range | 60.6 |
Minimum | 39.4 |
Maximum | 100.0 |
Sum | 5361.2 |
Count | 63.0 |
Exam 2 on Thu, Oct 12
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Exam 2 on Wed, Oct 11
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a. Find P x( 3) ≥ , the probability that a randomly selected student has a B or better average.
b. Find P x( 3) < , the probability that a randomly selected student has a below B average. How is this probability related to your answer to (a)?
c. Make a probability histogram for the distribution of x. What does your graphic display tell you about the distribution of average grades?
Assignment:
Problem 1. The U.S. government collects data on many variables having to do with households.
Let x = the number of children under 15 in a household. The probability distribution for x is shown in the table below.
a. What is the probability that a randomly selected household has at least one child under 15?
b. What is the probability that a randomly selected household has between two and four children under 15? In other words, find P (2 ≤ x ≤ 4).
c. Draw a probability histogram that represents the probability distribution shown in the table above.
Problem 2. Assume that the distribution of weight for 7½-week old hens is normally distributed with mean 544 grams and standard deviation 49 grams. Let w = weight of a randomly selected hen.
a. Sketch normal density curve representing the distribution of w.
Use technology or the standard normal table to find the probabilities in (b) – (d). On a copy of the normal density curve that you sketched for (a), shade the area under the curve that represents each probability.
b. P ( w < 500)
c. P (w ≥ 580)
d. P (500 ≤ w ≤ 580)
Problems 1 and 2 are from AgainstAllOdds_StudentGuide_Unit20 duplicated here for convenience.
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