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Sample assignment on Statistics (pdf)

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Added on  2021-04-16

Sample assignment on Statistics (pdf)

   Added on 2021-04-16

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Running head: STATISTICS StatisticsName of the Student:Name of the University:Author’s note:
Sample assignment on Statistics (pdf)_1
1STATISTICSTable of ContentsQuestion 1..................................................................................................................................21.a) Probability Distribution:.................................................................................................21.b) Frequency Distribution:..................................................................................................21.c) Coin Tossing:..................................................................................................................31.d) Calculation of Probability:..............................................................................................3Question 2..................................................................................................................................3Question 3..................................................................................................................................43.a)..........................................................................................................................................43.b).........................................................................................................................................5References:.................................................................................................................................7a.
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2STATISTICSQuestion 1.1.a) Probability Distribution:A probability distribution is a statistical function (f(x)¿ that indicates all the probable andlikelihood values that a random variable can take within a defined range. The probability distribution is divided in two ways that are-Discrete Probability Distribution: It is the probabilistic properties of observable pre-assigned values. The observable values may either be finite or countably infinite (discrete)probability distribution. A limited number of probable observations generates discreteprobability distribution. A discrete random variable could be related with a non-zeroprobability.Example: The distribution of errors found per page of a book.Continuous Probability Distribution: A continuous probability distribution refers theprobabilities of probable values of a continuous random variable. A set of infinite anduncountable continuous probable values create continuous probability distribution.Example: The distribution of heights of adult males.1.b) Frequency Distribution:i)The probability of selling 3 or 4 loaves on any one day =P(X=3)+P(X=4)=(0.25+0.2) = 0.45.ii)The average daily sales over the period = ∑x∗∑f∑f = 285100 = 2.85.iii)The probability of selling 2 or more loaves on any one day =P(X=2)+P(X=3)+P(X=4)+P(X=5)=(0.2+0.25+0.2+0.15)=0.8.iv)The probability of selling 4 or less loaves on any one day =P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)=(0.05+0.15+0.2+0.25+0.2)=0.85.
Sample assignment on Statistics (pdf)_3

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