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प्रश्न
The following is the distribution of weights (in kg) of 40 persons:
Weight (in kg) | 40 – 45 | 45 – 50 | 50 – 55 | 55 – 60 | 60 – 65 | 65 – 70 | 70 – 75 | 75 – 80 |
Number of persons | 4 | 4 | 13 | 5 | 6 | 5 | 2 | 1 |
Construct a cumulative frequency distribution (of the less than type) table for the data above.
उत्तर
C.I. | `bb(f_i)` | Weight (in kg) | Cumulative frequency |
40 – 45 | 4 | Less than 45 | 4 + 0 = 4 |
45 – 50 | 4 | Less than 50 | 4 + 4 = 8 |
50 – 55 | 13 | Less than 55 | 8 + 13 = 21 |
55 – 60 | 5 | Less than 60 | 21 + 5 = 26 |
60 – 65 | 6 | Less than 65 | 26 + 6 = 32 |
65 – 70 | 5 | Less than 70 | 32 + 5 = 37 |
70 – 75 | 2 | Less than 75 | 37 + 2 = 39 |
75 – 80 | 1 | Less than 80 | 39 + 1 = 40 |
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संबंधित प्रश्न
The monthly profits (in Rs.) of 100 shops are distributed as follows:
Profits per shop: | 0 - 50 | 50 - 100 | 100 - 150 | 150 - 200 | 200 - 250 | 250 - 300 |
No. of shops: | 12 | 18 | 27 | 20 | 17 | 6 |
Draw the frequency polygon for it.
The following table gives the production yield per hectare of wheat of 100 farms of a village.
Production Yield (kg/ha) | 50 –55 | 55 –60 | 60 –65 | 65- 70 | 70 – 75 | 75 80 |
Number of farms | 2 | 8 | 12 | 24 | 238 | 16 |
Change the distribution to a ‘more than type’ distribution and draw its ogive. Using ogive, find the median of the given data.
The table given below shows the weekly expenditures on food of some households in a locality
Weekly expenditure (in Rs) | Number of house holds |
100 – 200 | 5 |
200- 300 | 6 |
300 – 400 | 11 |
400 – 500 | 13 |
500 – 600 | 5 |
600 – 700 | 4 |
700 – 800 | 3 |
800 – 900 | 2 |
Draw a ‘less than type ogive’ and a ‘more than type ogive’ for this distribution.
The following table gives the life-time (in days) of 100 electric bulbs of a certain brand.
Life-tine (in days) | Less than 50 |
Less than 100 |
Less than 150 |
Less than 200 |
Less than 250 |
Less than 300 |
Number of Bulbs | 7 | 21 | 52 | 9 | 91 | 100 |
Calculate the mean of the following frequency distribution :
Class: | 10-30 | 30-50 | 50-70 | 70-90 | 90-110 | 110-130 |
Frequency: | 5 | 8 | 12 | 20 | 3 | 2 |
Consider the following distribution:
Marks obtained | Number of students |
More than or equal to 0 | 63 |
More than or equal to 10 | 58 |
More than or equal to 20 | 55 |
More than or equal to 30 | 51 |
More than or equal to 40 | 48 |
More than or equal to 50 | 42 |
The frequency of the class 30 – 40 is:
Look at the following table below.
Class interval | Classmark |
0 - 5 | A |
5 - 10 | B |
10 - 15 | 12.5 |
15 - 20 | 17.5 |
The value of A and B respectively are?
If the sum of all the frequencies is 24, then the value of z is:
Variable (x) | 1 | 2 | 3 | 4 | 5 |
Frequency | z | 5 | 6 | 1 | 2 |
The following table shows the cumulative frequency distribution of marks of 800 students in an examination:
Marks | Number of students |
Below 10 | 10 |
Below 20 | 50 |
Below 30 | 130 |
Below 40 | 270 |
Below 50 | 440 |
Below 60 | 570 |
Below 70 | 670 |
Below 80 | 740 |
Below 90 | 780 |
Below 100 | 800 |
Construct a frequency distribution table for the data above.
Form the frequency distribution table from the following data:
Marks (out of 90) | Number of candidates |
More than or equal to 80 | 4 |
More than or equal to 70 | 6 |
More than or equal to 60 | 11 |
More than or equal to 50 | 17 |
More than or equal to 40 | 23 |
More than or equal to 30 | 27 |
More than or equal to 20 | 30 |
More than or equal to 10 | 32 |
More than or equal to 0 | 34 |