CBSE Class 9  >  Class 9 Notes  >  Mathematics (Maths)   >  Practice Questions: Statistics

Practice Questions: Statistics

Question 1. Following are the marks obtained by 40 students of class IX in an examination:

Practice Questions: Statistics

(i) Present the data in the form of frequency distribution using the same class size such as 0-5, 5-10, etc.
(ii) How many students obtained marks below 15?
 Solution: 
The lowest value of the observations = 1.
The highest value of the observations = 24.
Choose class width = 5 so that classes are of the form 0-5, 5-10, etc.
∴ To cover all the given data, the required class-intervals are: 0-5, 5-10, 10-15, 15-20, 20-25.
(i) The frequency distribution corresponding to these classes is given below:

Practice Questions: Statistics

(ii) Number of students who obtained marks below 15 equals the sum of frequencies of the classes 0-5, 5-10 and 10-15.

= 5 + 10 + 9 = 24.

∴ Number of students who obtained marks below 15 = 24.

Question 2. The house-tax bills (in rupees) of 30 houses in a locality are given below:

Practice Questions: Statistics

Construct a frequency distribution table with class size 10.
Solution: 
The lowest observation = 814.
The highest observation = 912.
Class size = 10.
Using class width 10, the class-intervals chosen to cover the data are: 814-824, 824-834, 834-844, 844-854, 854-864, 864-874, 874-884, 884-894, 894-904, 904-914.
Thus, the required frequency distribution table for these classes is given below:

Practice Questions: Statistics

Note: A frequency distribution in which each upper limit of each class is excluded and the lower limit is included, is called an exclusive form or the continuous form whereas on the other hand a frequency distribution in which each upper limit as well as lower limit is included, is called an inclusive form.

Question 3. Following data gives the marks (out of 50), obtained by 30 students of a class in a test:

Practice Questions: Statistics

Arrange the data using classes as 0-10, 11-20, etc.
Solution:
The lowest observation = 1.
The highest observation = 48.
Using the given class pattern, the required class-intervals are: 0-10, 11-20, 21-30, 31-40, 41-50.
The grouped frequency table arranged with these classes is as follows:

Practice Questions: Statistics

Question 4. If the mean of the following data is 18.75, then find the value of p.

xi1015p2530
fi510782

Solution: Writing the given data in the form of xi and fi, we compute the total frequency and the sum of xi·fi.
Total frequency, N = 5 + 10 + 7 + 8 + 2 = 32.
Sum of xi·fi = (10 × 5) + (15 × 10) + (p × 7) + (25 × 8) + (30 × 2).
= 50 + 150 + 7p + 200 + 60 = 460 + 7p.
But mean x̄ = (Sum of xi·fi) / N = 18.75.
Therefore, (460 + 7p) / 32 = 18.75.
⇒ 460 + 7p = 18.75 × 32.
Now 18.75 × 32 = 600.
⇒ 460 + 7p = 600.
⇒ 7p = 600 - 460 = 140.
⇒ p = 140 / 7 = 20.
Thus, the required value of p is 20.

Practice Questions: Statistics

∴  Practice Questions: Statistics

But the mean of the given data is 18.75.

Practice Questions: Statistics

Practice Questions: Statistics


Question 5. If the marks of 41 students of a class are given in the following table, then find the median of marks obtained.

Marks obtainedFrequency
30 
25 
27 
40 
32 
35 
10
2
5
4
12
8

Solution: Arranging the observations in ascending order, we have:

Marks obtained252730323540
Frequency25101284

Now, we prepare the cumulative frequency table as given below:

Marks obtained FrequencyCumulative frequency 
25
27
30
32
35
40
2
5
10
12
8
4
2
7
17
29
37
41

∵ Total number of observations = 41 (an odd number).
∴ Median position = Practice Questions: Statisticsstudent
(n + 1) / 2 = (41 + 1) / 2 = 21.∴ Median of marks = marks obtained by the 21st student.
From the cumulative frequency table, cumulative frequency reaches 17 at mark 30 and 29 at mark 32.
Hence, the 18th to 29th observations correspond to mark 32; therefore the 21st student has mark 32.
∴ The median of the marks = 32.

Question 6. Prove that   Practice Questions: Statistics (xi - x̄)= 0, where x̄ is the mean of the 'n' observations x1, x2, x3, x4,..., xn.

Solution:Practice Questions: Statistics

Let x̄ denote the mean of the n observations x1, x2, ..., xn.
By definition, x̄ = (1 / n) ∑i=1n xi.
Consider the sum S = ∑i=1n (xi - x̄).
S = ∑i=1n xi - ∑i=1n x̄.
Since x̄ is constant for all terms, ∑i=1n x̄ = n·x̄.
Therefore, S = ∑i=1n xi - n·x̄.
But x̄ = (1 / n) ∑i=1n xi, hence n·x̄ = ∑i=1n xi.
Thus S = ∑i=1n xi - ∑i=1n xi = 0.
Hence proved that ∑i=1n (xi - x̄) = 0.
The document Practice Questions: Statistics is a part of the Class 9 Course Mathematics (Maths) Class 9.
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FAQs on Practice Questions: Statistics

1. What is statistics?
Ans. Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It helps in understanding and making decisions based on the information collected from a sample or population.
2. What are the different types of data in statistics?
Ans. In statistics, data can be classified into four types: nominal, ordinal, interval, and ratio. Nominal data represents different categories or names, ordinal data follows a specific order or ranking, interval data has equal intervals between values, and ratio data has a meaningful zero point.
3. What is the purpose of statistical analysis?
Ans. The purpose of statistical analysis is to extract meaningful information from data, identify patterns, relationships, and trends, and make accurate predictions or conclusions. It helps in summarizing and interpreting data to aid decision-making and solve problems in various fields.
4. What are measures of central tendency in statistics?
Ans. Measures of central tendency are statistical measures that represent the center or average of a dataset. The commonly used measures are the mean, median, and mode. The mean is the sum of all values divided by the number of values, the median is the middle value in a sorted dataset, and the mode is the most frequently occurring value.
5. How is probability used in statistics?
Ans. Probability is used in statistics to quantify uncertainty and predict the likelihood of events occurring. It provides a framework for analyzing random phenomena and making inferences based on sample data. Probability theory allows statisticians to calculate the chances of different outcomes and make statistical inferences and predictions.
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