Grouping data - class-X

Covers frequency distribution, measures of central tendency, and data interpretation for grouped data

14 Questions Published

Questions

Question 1 Multiple Choice (Single Answer)

Tally marks are used find

  1. class interval
  2. range
  3. frequency
  4. upper limit
Question 2 Multiple Choice (Single Answer)

Satish got the following marks in his weekly class tests out of $50$:
$48$, $32$, $36$, $42$, $38$, $35$, $39$, $49$, $34$, $14$, $32$, $37$, $31$ What should he expect in the next weekly test out of the following?
(i) between $40 - 50$
(ii) between $30 - 40$

  1. Between $40-50$
  2. Between $30-40$
  3. Data insufficient
  4. None of these
Question 3 Multiple Choice (Single Answer)
 12  24  36  48  60  72
 24  48  60  72  50  30
 50  45  50  75  50  34

The number of students in a quiz competition scores are in the table. How many students scored $50$ marks?

  1. $4$
  2. $5$
  3. $8$
  4. $3$
Question 4 Multiple Choice (Single Answer)

Consider the following frequency distribution:

Class $0-10$ $0-20$ $0-30$ $0-40$ $0-50$
Frequency $3$ $8$ $14$ $20$ $25$

What is the above frequency distribution known as?

  1. Cumulative distribution in more than type
  2. Cumulative distribution in less than type
  3. Continuous frequency distribution
  4. None of the above
Question 5 Multiple Choice (Single Answer)

Consider the following statements :
1. A continuous random variable can take all values in an interval.
2. A random variable which takes a finite number of values is necessarily discrete.
3. Construction of a frequency distribution is based on data which are discrete.
Which of the above statements are correct ?

  1. 1 and 2 only
  2. 2 and 3 only
  3. 1 and 3 only
  4. 1, 2 and 3
Question 6 Multiple Choice (Single Answer)

The marks (out of 10) obtained by 28 students in a Mathematics test are listed as below :
8, 1, 2, 6, 5, 5, 5, 0, 1, 9, 7, 8, 0, 5, 8, 3, 0, 8, 10, 10, 3, 4, 8, 7, 8, 9, 2, 0
The number of students who obtained marks more than or equal to 5 is

  1. 13
  2. 15
  3. 16
  4. 17
Question 7 Multiple Choice (Single Answer)

The frequency distribution of marks obtained by $60$ students of a class is given.

X $30-34$ $40-44$ $45-49$ $50-54$ $55-59$ $60-64$
f $3$ $5$ $12$ $18$ $14$ $62$


Find mode of the distribution.

  1. $42.50$
  2. $52.50$
  3. $52.05$
  4. $42.05$
Question 8 Multiple Choice (Single Answer)

The median and mode of frequency distribution are 525 and 500, then mean of same frequency distribution is -

  1. 75
  2. 107.5
  3. 527.5
  4. 537.5
Question 9 Multiple Choice (Single Answer)

Mode of distribution
$Marks\begin{bmatrix} 4 & 5 & 6 & 7 & 8 \end{bmatrix}\ No\quad of\quad students\quad \begin{bmatrix} 3 & 5 & 10 & 6 & 1 \end{bmatrix}$

  1. 6
  2. 10
  3. 8
  4. 4
Question 10 Multiple Choice (Single Answer)

The cumulative frequency distribution corresponding to 20 percentile is ______.

  1. 10%
  2. 20%
  3. 25%
  4. 33%
Question 11 Multiple Choice (Single Answer)

Find a 9596 confidence interval for the population mean from the following data:

Sample size n = 65, Mean = 6300, Standard deviation = 9.5, N=1000.

  1. (6298 - 6302)
  2. (6301 - 6308)
  3. (6290 - 4310)
  4. (6288 - 6315)
Question 12 Multiple Choice (Single Answer)

What are the shortcomings of frequency distribution?

  1. it does not show the details that are found in raw data
  2. Once the data are grouped into classes, an individual observation has no significance in further statistical calculations
  3. Statistical calculations are based only on the values of the class mark and not on the values of the observations in that class
  4. All of these
Question 13 Multiple Choice (Single Answer)

A tabular summary of a set of data showing classes of the data and the fraction of the items belonging to each class is called ______________.

  1. the class width
  2. a relative frequency distribution
  3. a cumulative relative frequency distribution
  4. on ogive
Question 14 Multiple Choice (Single Answer)

In a truly normal frequency distribution _________.

  1. the mean always is the same as the standard deviation
  2. the mean is never the same as the mode
  3. the mode is never the same as the median
  4. the mean always is the same as the median