What is the Z distribution and Chi-squared distribution?

0 1 View | Posted 2 months ago
Asked by Shiksha User

  • 1 Answer

  • J

    Answered by

    Jaya Sharma | Contributor-Level 10

    2 months ago

    Z distribution and Chi-Squared are some of the most popular distribution patterns of probability, and it is vital to recognise the variations between them and when to use the distribution pattern. A Z table is of no use when the operation revolves around a smaller sample size. On the other hand, the distribution of a sum of independent regular k squares in standard normal variables is the chi-square distribution of k degrees of freedom. The tests are used for the independence of two variables in an incident table and to assess the observable data for 

Similar Questions for you

A
alok kumar singh

Variance = x 2 n ( x ¯ ) 2  

6 0 2 + 6 0 2 + 4 4 2 + 5 8 2 + 6 8 2 + α 2 + β 2 + 5 6 2 8 = ( 5 8 ) 2 = 6 6 . 2            

7 2 0 0 + 1 9 3 6 + 3 3 6 4 + 4 6 2 4 + 3 1 3 6 + α 2 + β 2 8 = 3 3 6 4 = 6 6 . 2             

2 5 3 2 . 5 + α 2 + β 2 8 3 3 6 4 = 6 6 . 2            

α2 + β2 = 897.7 × 8

= 7181.6

A
alok kumar singh

xi

fi

c.f.

0 – 4

4 – 8

8 – 12

12 – 16

16 – 20

2

4

7

8

6

2

6

13

21

27

N = f = 2 7

( N 2 ) = 2 7 2 = 1 3 . 5

So, we have median lies in the class 12 – 16

I1 = 12, f = 8, h = 4, c.f. = 13

So, here we apply formula

M = I 1 + N 2 c . f . f × h = 1 2 + 1 3 . 5 1 3 8 × 4

= 1 2 + 5 2

M = 2 4 . 5 2 = 1 2 . 2 5

20 M = 20 × 12.25

= 245

A
alok kumar singh

  a + b + 6 8 + 4 4 + 4 0 + 6 0 6 = 5 5

212 + a + b = 330

a + b = 118

x i 2 n ( x ¯ ) 2 = 1 9 4          

a 2 + b 2 + ( 6 8 ) 2 + ( 4 4 ) 2 + ( 4 0 ) 2 + ( 6 0 ) 2 6 = ( 5 5 ) 2 = 1 9 4

= 3219

11760 + a2 + b2 = 19314

a2 + b2 = 19314 – 11760

= 7554

(a + b)2 –2ab = 7554

From here b = 41.795

a + b = 118

a + b + 2b = 118 + 83.59

= 201.59

A
alok kumar singh

Kindly go throuigh the solution

Given   i = 1 1 8 ( x i α ) = 3 6 i . e i = 1 1 8 x i 1 8 α = 3 6 . . . . . . . . . . ( i )

&       i = 1 1 8 ( x i β ) 2 = 9 0 i . e i = 1 1 8 x i 2 2 β x i + 1 8 β 2 = 9 0 . . . . . . . . . . . . . ( i i )      

(i) & (ii)   i = 1 1 8 x i 2 = 9 0 1 8 β + 3 6 β ( α + 2 ) . . . . . . . . . . . . . ( i i i )

Now variance σ 2 = x i 2 n ( x i n ) 2 = 1 given

->(a - b) (a - b + 4) = 0

Since α β s o | α β | = 4  

 

V
Vishal Baghel

M e a n = 3 + 1 2 + 7 + a + ( 4 3 a ) 5 = 1 3  

Variance = 3 2 + 1 2 2 + 7 2 + a 2 + ( 4 3 a ) 2 5 ( 1 3 ) 2  

2 a 2 a + 1 5 N a t u r a l n u m b e r      

Let 2a2 – a + 1 = 5x

D = 1 – 4 (2) (1 – 5n)

= 40n – 7, which is not 4 λ o r 4 λ + 1 f r o m .  

As each square form is 4 λ o r 4 λ + 1  

Get authentic answers from experts, students and alumni that you won't find anywhere else

Sign Up on Shiksha

On Shiksha, get access to

  • 65k Colleges
  • 1.2k Exams
  • 688k Reviews
  • 1800k Answers

Learn more about...

Share Your College Life Experience

Didn't find the answer you were looking for?

Search from Shiksha's 1 lakh+ Topics

or

Ask Current Students, Alumni & our Experts

×
×

This website uses Cookies and related technologies for the site to function correctly and securely, improve & personalise your browsing experience, analyse traffic, and support our marketing efforts and serve the Core Purpose. By continuing to browse the site, you agree to Privacy Policy and Cookie Policy.

Need guidance on career and education? Ask our experts

Characters 0/140

The Answer must contain atleast 20 characters.

Add more details

Characters 0/300

The Answer must contain atleast 20 characters.

Keep it short & simple. Type complete word. Avoid abusive language. Next

Your Question

Edit

Add relevant tags to get quick responses. Cancel Post