Month: October 2013
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