Number of balls | Team A | Team B |
|---|---|---|
1 − 6 | 2 | 5 |
7 − 12 | 1 | 6 |
13 − 18 | 8 | 2 |
19 − 24 | 9 | 10 |
25 − 30 | 4 | 5 |
31 − 36 | 5 | 6 |
37 − 42 | 6 | 3 |
43 − 48 | 10 | 4 |
49 − 54 | 6 | 8 |
55 − 60 | 2 | 10 |
Represent the data of both the teams on the same graph by frequency polygons.
[Hint: First make the class intervals continuous.]
It can be observed that the class intervals of the given data are not continuous.
There is a gap of 1 in between them.
Therefore, \(\frac{1}{2}\) = 0.5 has to be added to the upper-class limits and 0.5 has to be subtracted from the lower-class limits.
Also, class mark of each interval can be found by using the following formula.
\(\text{Class mark} =\frac{\text{ 𝑈𝑝𝑝𝑒𝑟 𝑐𝑙𝑎𝑠𝑠 𝑙𝑖𝑚𝑖𝑡+𝐿𝑜𝑤𝑒𝑟 𝑐𝑙𝑎𝑠𝑠 𝑙𝑖𝑚𝑖𝑡}}{ 2} \)
Continuous data with class mark of each class interval can be represented as follows.
Number of balls | Class mark | Team A | Team B |
|---|---|---|---|
0.5 − 6.5 | 3.5 | 2 | 5 |
6.5 − 12.5 | 9.5 | 1 | 6 |
12.5 − 18.5 | 15.5 | 8 | 2 |
18.5 − 24.5 | 21.5 | 9 | 10 |
24.5 − 30.5 | 27.5 | 4 | 5 |
30.5 − 36.5 | 33.5 | 5 | 6 |
36.5 − 42.5 | 39.5 | 6 | 3 |
42.5 − 48.5 | 45.5 | 10 | 4 |
48.5 − 54.5 | 51.5 | 6 | 8 |
54.5 − 60.5 | 57.5 | 2 | 10 |
By taking class marks on x-axis and runs scored on y-axis, a frequency polygon can be constructed as follows.
Length (in hours) | Number of lamps |
|---|---|
300 − 400 | 14 |
400 − 500 | 56 |
500 − 600 | 60 |
600 − 700 | 86 |
700 − 800 | 74 |
800 − 900 | 62 |
900 − 1000 | 48 |
(i) Represent the given information with the help of a histogram.
(ii) How many lamps have a lifetime of more than 700 hours?
Why was Santosh sent to the local school?
Statistics is a field of mathematics concerned with the study of data collection, data analysis, data interpretation, data presentation, and data organization. Statistics is mainly used to acquire a better understanding of data and to focus on specific applications. Also, Statistics is the process of gathering, assessing, and summarising data in a mathematical form.
Using measures of central tendency and measures of dispersion, the descriptive technique of statistics is utilized to describe the data collected and summarise the data and its attributes.
This statistical strategy is utilized to produce conclusions from data. Inferential statistics rely on statistical tests on samples to make inferences, and it does so by discovering variations between the two groups. The p-value is calculated and differentiated to the probability of chance() = 0.05. If the p-value is less than or equivalent to, the p-value is considered statistically significant.