Statistics

Business Statistics Basics
The science and art which is used to present, analyze and interpret the collected observations is classified as
serial analysis
statistics
management
accounting
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Probability Distributions
The probability of failure in binomial distribution is denoted by
p = q +1
p = q – 1
q = 1 + p
q = 1 – p
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Introduction To Probability
Considering the combination rule of counting the outcome, the value of 5! Is
5
120
24
20
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Probability Distributions
The formula of calculating the variance for negative binomial distribution is
rq ⁄ p²
pq ⁄ r²
rp ⁄ q²
rq ⁄ p
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Introduction To Probability
If a coin is tossed one time then the probability of occurrence of heads is
1⁄2
1⁄1
2⁄1
2⁄2
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Measures of Central Tendency
The measure which describes the detailed characteristic of whole data set is classified as
average or central value
positive skewed value
negative skewed value
positive extended value
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Sampling Distributions
In sample distribution, the degree of freedom is calculated as
df = n- 2
df = n- 1
df = n- 3
df = n- 5
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Moments, Skewness and Kurtosis
Considering the moments in standard units, the third alpha with power 2 is equivalent to
beta one
beta two
beta three
beta four
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Measures of Central Tendency
The Σxwis divided by Σwis used to calculate
weighted arithmetic mean
paired arithmetic mean
non-paired arithmetic mean
square of arithmetic mean
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Introduction To Probability
The conditional probability of two independent events Y and Z can be written as
P(Y – Z)
P(Y * Z)
P(Y|Z)
P(Y + Z)
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