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New answer posted

3 months ago

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A
alok kumar singh

Contributor-Level 10

  d y d x = a x b y + a b x + c y + a

= b x d y + c y d y + a d y = a x d x b y d x + a d x                

= c y 2 2 + a y a x 2 2 a x + b x y = k              

a x 2 + a y 2 + 2 a x 2 a y = k            

x 2 + y 2 + 2 x 2 y = λ              

Short distance of (11,6)

= 1 2 2 + 5 2 5

= 13 – 5

= 8

New answer posted

3 months ago

0 Follower 2 Views

A
alok kumar singh

Contributor-Level 10

  x = n = 0 a n = 1 1 a y = n = 0 b n = 1 1 b n = 0 c n = 1 1 c               

Now,

a, b, c -> AP

1 – a, 1 – b, 1 – c -> AP

1 1 a , 1 1 b , 1 1 c H P

x, y, z -> HP

New answer posted

3 months ago

0 Follower 2 Views

A
alok kumar singh

Contributor-Level 10

x + 2y + z = 2

α x + 3 y z = α

α x + y + 2 z = α            

Δ = | 1 2 1 α 3 1 α 1 2 | = 1 ( 6 + 1 ) 2 ( 2 α α ) + 1 ( α + 3 α ) = 7 + 2 a            

α = 7 2                

New answer posted

3 months ago

0 Follower 2 Views

A
alok kumar singh

Contributor-Level 10

  z ¯ = i z 2

Let z = x + iy

x – iy = I (x2 – y2 + 2xiy)

Case-I

x = 0

-y2 = -y

y = 0, 1

Case – II

y = 1 2

x 2 1 4 = 1 2 x = ± 3 2

Area of polygon

= 1 2 | 0 1 1 3 2 1 2 1 3 2 1 2 1 | = 1 2 | 3 3 2 | = 3 3 4  

New answer posted

3 months ago

0 Follower 1 View

J
Jaya Sharma

Contributor-Level 10

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 

New answer posted

3 months ago

0 Follower 1 View

J
Jaya Sharma

Contributor-Level 10

Five types of sample statistics include sample mean, sample variance, sample standard deviation, sample proportion.

  1. Sample mean is the average of all data points in a sample. It is calculated by summing all values in sample and then dividing by number of observations.
  2. The sample variance measures the dispersion and spread of data points in sample. It indicates the average of squared differences from sample mean.
  3. Sample standard deviation is the square root of the sample variance that provides a measure of dispersion in same units as data.
  4. The sample proportion is fraction of the sample that has a certain attribute or characteristics. This
...more

New answer posted

3 months ago

0 Follower 2 Views

P
Payal Gupta

Contributor-Level 10

P : Ramu is intelligent

Q : Ramu is rich

R : Ramu is not honest

Give statement, “Ramu is intelligent and honest if any only if Ramu is not rich”

= (PR)Q

So, negation of the statement is

[ (PR)Q]

= ( (PR)Q) (Q (PR))

New answer posted

3 months ago

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P
Payal Gupta

Contributor-Level 10

2sin (π22)sin (3π22)sin (5π22)sin (7π22)sin (9π22)

=2sin32π1125sinπ11=116

New answer posted

3 months ago

0 Follower 5 Views

P
Payal Gupta

Contributor-Level 10

Median = 2k+122=k+6

Mean deviation = |xiM|n=6

(k+3)+ (k+1)+ (k1)+ (6k)+ (6k)+ (10k)+ (15k)+ (18k)8

582k8=6

k = 5

Median=2*5+122=11

New answer posted

3 months ago

0 Follower 10 Views

P
Payal Gupta

Contributor-Level 10

a=i^j^+2k^

a*b=2i^k^

a.b=3

|a*b|2+|a.b|2=|a|2.|b|2

= b . a | b | 2 | a b | = 3 7 3 7 3 = 2 2 1

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