Reading Assignment #14
Due Thursday, October 31st
Chapter 6, Section 6.2 Normal Distribution, p. 190-200
Also, check out this video:
Category: busad265
Due Thursday, October 31st
Chapter 6, Section 6.2 Normal Distribution, p. 190-200
Also, check out this video:
Probability Problem Revised
Q1. What is the probability that the dealer will bust (go over 21)?
Q2. What is the probability that you will win the hand?
Due Tuesday, October 29th
Part 1: Solve the following probability problem.
Q1. What is the probability that the dealer will bust (go over 21)?
Q2. What is the probability that you will win the hand?
Show your work! I’m more interested in how you approach and work through the problem than I am about the accuracy of your answer. If you simply write down a % and turn it in, even if the % is correct, you will not receive full credit.
Part 2: Clean up your property data.
This part of the Exercise will be graded and is worth 30 points, 1 per “good” property record. By good I mean it’s a legitimate address in the correct (assigned) neighborhood and the values accurately reflect the data in the Pueblo County Property database. See the Property Data Entry Guidelines for details.
Probability lecture topics
1. Probability measured
P(E) = number of outcomes/occurences / total possible outcomes/occurences
0<=P(E)<=1
2. Sample Space
Total possible outcomes or occurances
3. Probability is simple division – let’s play some games
Coin flip, Dice, 1, 2, + … http://www.random.org
Yahtzee – http://www.yahtzeeonline.org/
Blackjack – http://espn.go.com/free-online-games/puzzles/_/gid/16/blackjack
4. Homework
– probability problems
– clean up real estate file
– assign reading
Due Thursday, October 24th
Textbook Reading: Ch 4, p 98-106
Web Resource: http://learnandteachstatistics.wordpress.com/2012/11/05/probability/
YouTube Video (Khan Academy): http://youtu.be/uzkc-qNVoOk
I worked through the 14 problems on the 2nd part of the exam using a calculator and pencil + paper. I’ve scanned in my hand written solutions.
First, calculate ∑x, ∑y, ∑x², ∑y², ∑xy and produce a scatter plot.
Next, calculate the Pearson Correlation Coefficient, identify correlation type, dependent and independent variables, calculate slope and y-intercept of the regression line and produce a linear equation.
Finally, calculate the Sum of Squares Error (SSE), Standard Error of the Estimate, Coefficient of Determination (r²), estimate property values and discuss how multiple regression might be utilized.
Here is the formula sheet that was provided, for reference.
Here are the results for Exam #2
Descriptive Statistics (zeroes excluded)
Exam2 Grades | |
Mean | 75.78 |
Standard Error | 2.37 |
Median | 79.73 |
Mode | 72.97 |
Standard Deviation | 14.97 |
Range | 52.70 |
Minimum | 47.30 |
Maximum | 100.00 |
Count | 40.00 |
Histogram
Stem and Leaf Plot
4 78
5 012289
6 2368
7 0133357999
8 11122357
9 0111334
10 00
Scatter plot comparing Exam 1 and Exam 2 scores
For Exam #2 you need to be prepared to answer questions on the following topics:
Chapter 7
Chapter 12
Chapter 13
In class on Thursday I offered two Extra Credit opportunities. I assigned them on a first-hand-in-the-air basis but it looks like a lot of students were interested. Please comment below if you would like to be considered for future “one-off” extra credit assignments. The assignment will be graded (generously – full credit unless you do a poor job) and replace your lowest exercise score.
Also, I have an opportunity available to everyone who would like to earn extra credit. This will involve downloading, learning and using free, open source statistical computing software. Here are the eligible software packages:
Here’s how it will work.
For successful completion of the steps above, you can choose one (and only one) from the following extra credit award options.
BONUS: If you do all 5 steps above successfully you have the option to make a brief (5-10 min) presentation during class. Upon successful completion of the in-class presentation then, in addition to one of the selections above, I will boost your overall grade by 1%, 2%, 3%, 4% or 5% depending on the quality of the presentation.
Note that this extra credit assignment won’t be easy, requiring a fair amount of effort (although some of the effort will overlap with the term project). Furthermore, I won’t be available to provide extensive assistance. This is an independent study extra credit project. Students may work together on this but every individual will need to make their own presentation and answer questions without assistance from other students. If a student attempts to earn extra credit but hasn’t put in the effort to learn the software and analyze the property data I will probably find out during questions. In that case you may not earn any extra credit at all.