8) SI Discrete Random Variables-1 PowerPointSign inFileHomeInsertDesignTransitionsAnımationsShde ShowReviewViewHelpV Tell me what you want to doA ShareAA E E- ln ten DirectionCAlign TextLayoutnapeP FindA1L令0凸Shape OutkneLfectsReset* ReplaceArrange CckStylesNewBIUSle AV Aa-Slide Section-Convert to SmartartSelect-ClipboardSlidesFontParagraphDrawingEditing14The random variable X has a probability function{kxx 1, 3, 5P(X = x) =%3Dk(x - 1)x = 2, 4, 615where k is a constant.a Find the value of k.16b Draw a table giving the probability distribution of X.c Find P(2 < X< 5).d Find F(4).17e Find F(1.6).18Click to add notesE NotesCommentsASlide SEaf 34 PDO44 ゆ

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Paragraph Drawing The random variable X has a probability function kx P(X = x) ={ x = 1, 3, 5 x = 2, 4, 6 %3D %3D k(x - 1) %3D where k is a constant. a Find the value of k. b Draw a table giving the probability distribution of X. c Find P(2 < X< 5).

Paragraph Drawing The random variable X has a probability function kx P(X = x) ={ x = 1, 3, 5 x = 2, 4, 6 %3D %3D k(x - 1) %3D where k is a constant. a Find the value of k. b Draw a table giving the probability distribution of X. c Find P(2 < X< 5).

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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8) SI Discrete Random Variables-1 PowerPoint
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V Tell me what you want to do
A Share
AA E E- ln ten Direction
CAlign Text
Layout
nape
P Find
A1L令0凸
Shape Outkne
Lfects
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New
BIUSle AV Aa-
Slide Section-
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14
The random variable X has a probability function
{
kx
x 1, 3, 5
P(X = x) =
%3D
k(x - 1)
x = 2, 4, 6
15
where k is a constant.
a Find the value of k.
16
b Draw a table giving the probability distribution of X.
c Find P(2 < X< 5).
d Find F(4).
17
e Find F(1.6).
18
Click to add notes
E Notes
Comments
A
Slide SEaf 34 P
DO
44 ゆ

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