Professor Giloni
Business Statistics and Regression Analysis
Homework #2
Problems #1-6
Descriptive Statistics: Temp
Variable
Temp
N
130
N*
0
Variable
Temp
Mean
98.249
SE Mean
0.0643
StDev
0.733
Minimum
96.300
Q1
97.800
Median
98.300
Q3
98.700
Maximum
100.
Professor Giloni
Homework 7
1) A) 1.645
B) 2.575
C) 1.96
D) (.4015 - .3997) * 3/18 + 1.28 = 1.2803
2) A) 25.9 +/- 1.96(2.7/9.486) = 25.9 +/- (1.96)*(.2846)
(25.342184, 26.457816) is the 95% confidence interval for the population mean.
B) 25.9 +/- 1.645(.2
Statistics for Business
Open Book and Open Notes
Sample Final Exam
1. (28 points) A car dealership sells cars as well as acts as a broker to its customers
who wish to finance the car. A community activist group believes that women are
being overcharged (w
Business Statistics Study Guide for Final
Modeling: Simple and Multi-Variate
B1/SE coefficient = T-statistic for variable
B2/SE coefficient for it = T-statistic
SE coefficient = Sb1
Y-hat = estimated value for Y
Y-bar = mean value of Y
Total sum of square
Statistics Study Notes for Midterm 1
Descriptive Statistics:
Expected Value: = E(X) =
Mean: M, x = E(Xbar) = Mu = real mean of population
Std Dev.:
Variance = std dev. squared
Z = (x mu)/std dev; # of std. devs. Between x and mean
Ssquared: Summation(Xi)s
1. S&P 500 Index = 144.06 + 659.61 Log_Prime
The slope coefficient of Log_Prime is 659.61. This means that for each increase of one in the natural log
of the Prime Interest Rate, we expect to see an average increase of 659.61 points in the S&P 500 Index.
Business Statistics Study Guide for Final
Modeling: Simple and Multi-Variate
B1/SE coefficient = T-statistic for variable
B2/SE coefficient for it = T-statistic
SE coefficient = Sb1
Y-hat = estimated value for Y
Y-bar = mean value of Y
Total sum of square
Professor Giloni
Homework #3
Descriptive Statistics: TIME
Variable
TIME
N
49
N*
0
Mean
2.549
SE Mean
0.261
StDev
1.828
Minimum
1.000
Q1
1.350
Median
1.700
Q3
3.500
Maximum
10.100
1) A) The Empirical Rule is applicable for describing the bankruptcy time di
Professor Giloni
Homework # 4
1) A) 34.5 = mean;
VARIANCE = 174.75; STANDARD DEVIATION = 13.2193
B)
C)
The probability that mean - 2 std. dev < x < mean + 2 std. dev. is 1. 100% probability
2) A) Both firms have a expected value total physical loss of $2,