Section A | Section B | ||
---|---|---|---|
Marks | Frequency | Marks | Frequency |
0 − 10 | 3 | 0 − 10 | 5 |
10 − 20 | 9 | 10 − 20 | 19 |
20 − 30 | 17 | 20 − 30 | 15 |
30 − 40 | 12 | 30 − 40 | 10 |
40 − 50 | 9 | 40 − 50 | 1 |
Represent the marks of the students of both the sections on the same graph by two frequency polygons. From the two polygons compare the performance of the two sections.
We can find the class marks of the given class intervals by using the following formula.
\(\text{ Class mark} =\frac{\text{ 𝑈𝑝𝑝𝑒𝑟 𝑐𝑙𝑎𝑠𝑠 𝑙𝑖𝑚𝑖𝑡+𝐿𝑜𝑤𝑒𝑟 𝑐𝑙𝑎𝑠𝑠 𝑙𝑖𝑚𝑖𝑡 }}{2} \)
Section A | Section B | ||||
---|---|---|---|---|---|
Marks | Class marks | Frequency | Marks | Class marks | Frequency |
0 − 10 | 5 | 3 | 0 − 10 | 5 | 5 |
10 − 20 | 15 | 9 | 10 − 20 | 15 | 19 |
20 − 30 | 25 | 17 | 20 − 30 | 25 | 15 |
30 − 40 | 35 | 12 | 30 − 40 | 35 | 10 |
40 − 50 | 45 | 9 | 40 − 50 | 45 | 1 |
We plot the class-mark on x-axis and number of students on y-axis.
From the above graph, we observed that students of section A performed better because as we move right on x-axis the number of students are spread widely over greater marks as compared to the students of section A.
S.No. | Causes | Female fatality rate (%) |
---|---|---|
1. | Reproductive health conditions | 31.8 |
2. | Neuropsychiatric conditions | 25.4 |
3. | Injuries | 12.4 |
4. | Cardiovascular conditions | 4.3 |
5. | Respiratory conditions | 4.1 |
6. | Other causes | 22.0 |
(i) Represent the information given above graphically.
(ii) Which condition is the major cause of women’s ill health and death worldwide?
(iii) Try to find out, with the help of your teacher, any two factors which play a major role in the cause in (ii) above being the major cause.
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?
Section | Number of girls per thousand boys |
---|---|
Scheduled Caste (SC) | 940 |
Scheduled Tribe (ST) | 970 |
Non-SC/ST | 920 |
Backward districts | 950 |
Non-backward districts | 920 |
Rural | 930 |
Urban | 910 |
(i) Represent the information above by a bar graph.
(ii) In the classroom discuss what conclusions can be arrived at from the graph.
Number of letters | Number of surnames |
---|---|
1 − 4 | 6 |
4 − 6 | 30 |
6 − 8 | 44 |
8 − 12 | 16 |
12 − 20 | 4 |
(i) Draw a histogram to depict the given information.
(ii) Write the class interval in which the maximum number of surnames lie.
Age (in years) | Number of children |
---|---|
1 − 2 | 5 |
2 − 3 | 3 |
3 − 5 | 6 |
5 − 7 | 12 |
7 − 10 | 9 |
10 − 15 | 10 |
15 − 17 | 4 |
Draw a histogram to represent the data above.
Use these adverbs to fill in the blanks in the sentences below.
awfully sorrowfully completely loftily carefully differently quickly nonchalantly
(i) The report must be read ________ so that performance can be improved.
(ii) At the interview, Sameer answered our questions _________, shrugging his shoulders.
(iii) We all behave _________ when we are tired or hungry.
(iv) The teacher shook her head ________ when Ravi lied to her.
(v) I ________ forgot about it.
(vi) When I complimented Revathi on her success, she just smiled ________ and turned away.
(vii) The President of the Company is ________ busy and will not be able to meet you.
(viii) I finished my work ________ so that I could go out to play
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.