0% found this document useful (0 votes)
22 views9 pages

102 Bms

The document appears to be a collection of mathematical formulas and concepts related to business mathematics and statistics. It includes equations for linear relationships, statistical measures, and probability calculations. The content is structured in a way that suggests it may be part of a study guide or educational material for a course.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
22 views9 pages

102 Bms

The document appears to be a collection of mathematical formulas and concepts related to business mathematics and statistics. It includes equations for linear relationships, statistical measures, and probability calculations. The content is structured in a way that suggests it may be part of a study guide or educational material for a course.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 9

(Business Mathematics & Statistics) 2024-02-18

 : [09.00 – 12.00]

09

01

x
X

x y

“x” “y”

X
x

“a”

2|Page
Friday
Thursday
Wednesday
Tuesday
Monday
Sunday

0 10 20 30 40 50 60 70 80 90

……………

3|Page
y = 3 - 2x x y

02

[ ]

03
[ ] [ ]

“ ”

[ ] [ ]

4|Page
[ ]

04

x
y

x
y

y = a + bx

05

5|Page
06

[ ]

6|Page
7|Page
:
: 𝑥:
𝑎𝑥 𝑏𝑥 𝑐 𝑥
𝑛
𝑓𝑥
𝑏± 𝑏 𝑎𝑐
𝑥 𝑓
𝑎 :
Md = (n + 1)th term
2
n -F
Tn = a + (n - 1) d c
Md = L1 + 2 XC
fm
n :
n ∆1
S { a n- d} M0 = L1 + XC
∆1 + ∆2

: 𝜎:

Tn = arn-1
𝑥− 𝑥 2 𝑥2
n : 𝑥
𝑛 𝑛
{𝑟 𝑛 − }
𝑆 𝑎 𝑟>
{𝑟− }

{ −𝑟 𝑛 } 𝑓 𝑥− 𝑥 2 𝑓𝑥 2
𝑆 𝑎 𝑟< 𝑥
{ −𝑟}
𝑓 𝑓

𝑆 𝑛𝑎 𝑟

𝜎
= X 100
𝑥
:
𝑆 𝑋 𝑛𝑟

:
𝑆 𝑋{ 𝑟}𝑛

[𝑛 𝑥𝑦 𝑥 𝑦]
×
+𝑟 𝑛
{[𝑛 𝑥 𝑥 ] × [𝑛 𝑦 𝑦 ]}

𝑆𝑅 𝑛 𝑅
𝐴
{𝑅𝑛 }
[𝑛 𝑥𝑦 − 𝑥 𝑦]
b=
[𝑛 𝑥2 – 𝑥 2]

EIR = { 𝑟 𝑛
} a=𝑦 𝑏𝑥

8|Page
Y TxSxCxR
𝑝1
𝑝0
×

𝑞1
𝑞0
×
-
𝑣1 𝑝1 𝑞1
0
= 𝑝0 𝑞0
× 100

𝑝1 -
𝑝0
×

𝑞1
𝑞0
× P (A) –

𝑝1
𝑛 𝑝0
×

𝑞1
𝑛 𝑞0
×

P (A B) = P (A) + P (B) – P (A B)

𝑃 𝐴 𝐵
P (A/B) = 𝑃 𝐵
𝑝1 𝑞0
𝑝0 𝑞0
×

𝑞1 𝑝0
𝑞0 𝑝0
×
𝐸 𝑋 𝑝𝑟𝑜𝑏𝑎𝑏𝑖𝑙𝑖𝑡𝑦 × 𝑝𝑎𝑦 𝑜𝑓𝑓) 𝑝×𝑥
𝑝1 𝑞1
𝑝0 𝑞1
× 𝑉𝐴𝑅 𝑋 𝑝𝑥 𝑝𝑥

𝑞1 𝑝1
𝑞0 𝑝1
×
𝑥 𝜇
𝑍
𝜎
𝑝1 𝑤
𝑝0 𝑤
×

𝑞1 𝑤
𝑞0 𝑤
×

[ 𝑤 ×𝐼𝑝 ]
= 𝑤
×

[ 𝑤 ×𝐼𝑞 ]
= 𝑤
×

9|Page

You might also like