MEDIUM
JEE Main/Advance
IMPORTANT
Earn 100

Calculate the standard deviation of the following data:

xi 5 15 25 35 45 55 65 75
fi 5 8 7 12 28 20 10 10

Important Questions on Statistics

MEDIUM
JEE Main/Advance
IMPORTANT

The frequency distribution of population of males in different age groups is given below:

Age group (in Years) 5-15 15-25 25-35 35-45 45-55
Number of males (in lakhs) 447 307 279 220 247

Find the mean deviation about mean.

MEDIUM
JEE Main/Advance
IMPORTANT
The coefficient of variation of two distribution are 75 and 40 and the standard deviations are 16 and 21 respectively. Find their arithmetic means.
MEDIUM
JEE Main/Advance
IMPORTANT
The coefficient of variation of two distributions are 45 and 96 and their arithmetic means are 24 and 32 respectively. What are their standard deviations?
MEDIUM
JEE Main/Advance
IMPORTANT
The following values are calculated in respect of heights and weights of students of a section of class XI :
  Height Weight
Mean 140.8 cm 45 kg
Variance 196.85 cm2 96.05 kg2

Can we say that the weights show greater variation than the heights?

HARD
JEE Main/Advance
IMPORTANT
The mean and standard deviation of some data for the time taken to complete a test are calculated with the following results: Number of observations=25, mean=18.2 s, standard deviation = 3.25 s. Further, another set of 15 observations x1, x2,,x15, also in seconds, is now available and we have i=115xi=279 and i=115xi2=5524. Calculate the standard derivation based on all 40 observations.
MEDIUM
JEE Main/Advance
IMPORTANT
Mean and standard deviation of 100 items is 42 and  6 respectively. Find the sum of all the items and sum of the squares of the items.
HARD
JEE Main/Advance
IMPORTANT

The sum and sum of squares corresponding to length x (in cm ) and weight y (in gm) of 50 plant products are given below:

i=150xi=212, i=150xi2=902.8, i=150yi=261, i=150yi2=1457.6

Which is more varying, the length or weight?

EASY
JEE Main/Advance
IMPORTANT

Given that 12 is mean of  10 observations. 7 is the variance of 10 observations x1,x2,x3,,x10. If each observation is multiplied by 4 . Find the new variance of the resulting observations.