Mean = 100, standard deviation = 25, what is the probability from 75 to everything less (that is, P(X < 75)? Is
this a regular normal distribution problem or an unusual normal distribution problem?
REGULAR NORMAL DISTRIBUTION PROBLEM.
Z = ( X )/ = (75-100
FOUR MOMENTS OF STATISTICS.
1. MEASURES OF CENTRAL TENDENCY
INCLUDES MEAN
2. MEASURES OF DISPERSION
INCLUDES STANDARD DEVIATION
3. SKEWNESS
SHAPE, DO THEY SWING TO ONE SIDE?
4. KURTOSIS
KURTOSISFATNESS OF TAILS, HOW NUMBERS BUNCH ON EACH SIDE.
CENTRAL TEN
MOST USED STATISTICS:
Mean (average)
Standard deviation
The average is typically called the mean in statistical analysis, and it is a measure
of the central tendency of the numbers. The standard deviation is a measure of
how the numbers spread out. In mos
The factorial of a non-negative integer n, denoted by n!, is the product of all positive
integers less than or equal to n. For example,
4! = 4 X 3 X 2 X 1
The value of 0! is 1, according to the convention for an empty product.
COMBINATION FORMULA
ORDER DO
POISSON
SMALL NUMBER OF EVENTS
ARRIVALS, INSURANCE
ONLY TWO ITEMS FOR TABLE
MEAN = = LAMBDA
X NUMBER ASKED FOR IN PROBLEM
P. 148 #31
2.4
X0
0.0907
2.4
X1
0.2177
2.4
X 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
0.6916
BURGER KING TIM HORTONS OF CANADA MERGER
BE
FUTURES
A futures contract sets the price today for a transaction which occurs in the future. On the
other hand, the market for immediate purchase and sale of an item, with immediate delivery,
is called the spot or cash market. The buyer of an item in the
PAGE 144 #20 B
MEAN = np = 0.4(4) = 1.6
STANDARD DEVIATION = np(1-p)
= np(1-p) = 4(0.4)(1-0.4) = 0.9798 0.98
PAGE 151 #46 B
26/30 X 25/29 X 24/28 X 23/27 = 0.5455
P. 115 #58
P. 33 #47.
P. 33 #48
^
NORMAL DIST
SYMMETRIC
PROB MEAN AND EVERYTHING LESS 0.50
P