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Statistics is a branch of mathematics that deals with data collection, analysis, interpretation, and presentation. It plays a crucial role in various fields helping individuals and organizations make informed decisions based on the data. In the Class 10 NCERT curriculum, Chapter 14 on Statistics provides a fundamental understanding of statistical methods and their applications. Exercise 14.1 in this chapter focuses on the basic concepts and calculations involving statistics including mean, median, and mode which are essential for interpreting and understanding data effectively.
Number of Plants | 0-2 | 2-4 | 4-6 | 6-8 | 8-10 | 10-12 | 12-14 |
Number of houses | 1 | 2 | 1 | 5 | 6 | 2 | 3 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: Now, we will multiply the classmark with the number of times they have occurred, i.e, with the frequency.
Step 3: Now we will apply the general formula to calculate the mean
Now, Let's see the detailed solution:
No.of Plants (Class Interval) | No. of Houses (Frequency) (fi) | Class Mark (xi) | fi * xi |
|---|---|---|---|
0-2 | 1 | 1 | 1 |
2-4 | 2 | 3 | 6 |
4-6 | 1 | 5 | 5 |
6-8 | 5 | 7 | 35 |
8-10 | 6 | 9 | 54 |
10-12 | 2 | 11 | 22 |
12-14 | 3 | 13 | 39 |
Sum: ∑ fi = 20 | Sum: ∑ fixi = 162 |
Now, after creating this table we will be able to find the mean very easily -
= 16
= 8.1
Hence, we come to the conclusion that the number of plants per house is 8.1. Since the numeral value of frequency(fi) and the class mark(xi) is small so we use DIRECT METHOD to find the mean number of plants per house.
Daily Wages (in ₹) | 500-520 | 520-540 | 540-560 | 560-580 | 580-600 |
Number of Workers | 12 | 14 | 8 | 6 | 10 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: In this case, the value of mid-point (xi) is very large, so let us assume the mean value, A = 150, and the class interval is h = 20.
ui = (xi – A)/h
=> ui = (xi – 150)/20
Step 3: Now we will apply the Assumed Mean Formula to calculate the mean
Now, Let's see the detailed solution:
Daily wages (Class interval) | Number of workers frequency (fi) | Mid-point (xi) | ui = (xi – 150)/20 | fiui |
|---|---|---|---|---|
100-120 | 12 | 110 | -2 | -24 |
120-140 | 14 | 130 | -1 | -14 |
140-160 | 8 | 150 | 0 | 0 |
160-180 | 6 | 170 | 1 | 6 |
180-200 | 10 | 190 | 2 | 20 |
Total | Sum ∑fi = 50 | Sum ∑fiui = -12 |
So, the formula to find out the mean is:
Mean =
= 150 + (20 × -12/50)
= 150 – 4.8
= 145.20
Thus, mean daily wage of the workers = Rs. 145.20.
Daily pocket allowance (in ₹) | 11-13 | 13-15 | 15-17 | 17-19 | 19-21 | 21-23 | 23-25 |
Number of children | 7 | 6 | 9 | 13 | f | 5 | 4 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: Now, we will multiply the classmark with the number of times they have occurred, i.e, with the frequency. As a certain frequency is missing and we have an odd number of class intervals hence, we will assume the middle-Class Mark as our Assumed Mean(A).
Step 3: Now we will apply the general formula to calculate the mean
Now, Let's see the detailed solution:
Class interval | Number of children (fi) | Mid-point (xi) | fixi |
|---|---|---|---|
11-13 | 7 | 12 | 84 |
13-15 | 6 | 14 | 84 |
15-17 | 9 | 16 | 144 |
17-19 | 13 | 18 = A | 234 |
19-21 | f | 20 | 20f |
21-23 | 5 | 22 | 110 |
23-25 | 4 | 24 | 96 |
Total | ∑ fi = 44 + f | Sum ∑fixi = 752 + 20f |
The mean formula is
Mean =
= (752 + 20f)/(44 + f)
Now substitute the values and equate to find the missing frequency (f)
⇒ 18 = (752 + 20f)/(44 + f)
⇒ 18(44 + f) = (752 + 20f)
⇒ 792 + 18f = 752 + 20f
⇒ 792 + 18f = 752 + 20f
⇒ 792 – 752 = 20f – 18f
⇒ 40 = 2f
⇒ f = 20
So, the missing frequency, f = 20.
Number of heartbeats per minute | 65-68 | 68-71 | 71-74 | 74-77 | 77-80 | 80-83 | 83-86 |
Number of Women | 2 | 4 | 3 | 8 | 7 | 4 | 2 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: In this case, the value of mid-point (xi) is very large, so let us assume the mean value, A = 75.5 and class size is h = 3.
di = (xi – A)
=> di = (xi – 75.5)
Step 3: Now we will apply the Assumed Mean Formula to calculate the mean
Now, Let's see the detailed solution:
Class Interval | Number of women (fi) | Mid-point (xi) | di = (xi – 75.5) | fidi |
|---|---|---|---|---|
65-68 | 2 | 66.5 | -9 | -18 |
68-71 | 4 | 69.5 | -6 | -24 |
71-74 | 3 | 72.5 | -3 | -9 |
74-77 | 8 | 75.5 = A | 0 | 0 |
77-80 | 7 | 78.5 | 3 | 21 |
80-83 | 4 | 81.5 | 6 | 24 |
83-86 | 2 | 84.5 | 9 | 18 |
Sum ∑fi = 30 | Sum ∑fiui = 12 |
Mean =
= 75.5 + (12/30)
= 75.5 + 2/5
= 75.5 + 0.4
= 75.9
Therefore, the mean heartbeats per minute for these women is 75.9
Number of Mangoes | 50-52 | 53-55 | 56-58 | 59-61 | 62-64 |
Number of Boxes | 15 | 110 | 135 | 115 | 25 |
Solution:
Step 1: In the above table we find that the class intervals are not continuous and hence to make them a continuous set of data we add 0.5 to the upper limit and subtract 0.45 from the lower limit as the gap between two intervals is 1. Then find the Mid Point by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: In this case, let us assume the mean value, A = 57 and class size is h = 3.
Step 3: Since the frequency values are big, hence we are using the STEP-DEVIATION METHOD.
Now, Lets see the detailed solution:
Class Interval | Number of boxes (fi) | Mid-point (xi) | di = xi – A | ui=(xi – A)/h | fiui |
|---|---|---|---|---|---|
49.5-52.5 | 15 | 51 | -6 | -2 | -30 |
52.5-55.5 | 110 | 54 | -3 | -1 | -110 |
55.5-58.5 | 135 | 57 =A | 0 | 0 | 0 |
58.5-61.5 | 115 | 60 | 3 | 1 | 115 |
61.5-64.5 | 25 | 63 | 6 | 2 | 50 |
Sum ∑fi = 400 | Sum ∑fiui = 25 |
Mean =
= 57 + 3 * (25/400)
= 57 + 0.1875
= 57.19
Therefore, the mean number of mangoes kept in a packing box is 57.19
Daily Expenditure (in ₹) | 100-150 | 150-200 | 200-250 | 250-300 | 300-350 |
Number of Households | 4 | 5 | 12 | 2 | 2 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: In this case, the value of mid-point (xi) is very large, so let us assume the mean value, A = 225 and class size is h = 50.
di = (xi – A)
=> di = (xi – 225)
ui = (xi – A)/h
=> ui = (xi – 225)/50
Step 3: Now we will apply the Step Deviation Formula to calculate the mean
Now, Let's see the detailed solution:
Class Interval | Number of households (fi) | Mid-point (xi) | di = xi – A | ui = di/50 | fiui |
|---|---|---|---|---|---|
100-150 | 4 | 125 | -100 | -2 | -8 |
150-200 | 5 | 175 | -50 | -1 | -5 |
200-250 | 12 | 225 = A | 0 | 0 | 0 |
250-300 | 2 | 275 | 50 | 1 | 2 |
300-350 | 2 | 325 | 100 | 2 | 4 |
Sum ∑fi = 25 | Sum ∑fiui = -7 |
Mean =
= 225 + 50 (-7/25)
= 225 - 14
= 211
Therefore, the mean daily expenditure on food is ₹211
Concentration of SO2 (in ppm) | Frequency |
|---|---|
0.00-0.04 | 4 |
0.04-0.08 | 9 |
0.08-0.12 | 9 |
0.12-0.16 | 2 |
0.16-0.20 | 4 |
0.20-0.24 | 2 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: Now, we will multiply the classmark with the number of times they have occurred, i.e, with the frequency.
Step 3: Now we will apply the general formula to calculate the mean
Now, Let's see the detailed solution:
Concentration of SO2 (in ppm) | Frequency (fi) | Mid-point (xi) | fixi |
|---|---|---|---|
0.00-0.04 | 4 | 0.02 | 0.08 |
0.04-0.08 | 9 | 0.06 | 0.54 |
0.08-0.12 | 9 | 0.10 | 0.90 |
0.12-0.16 | 2 | 0.14 | 0.28 |
0.16-0.20 | 4 | 0.18 | 0.72 |
0.20-0.24 | 2 | 0.22 | 0.44 |
Sum ∑fi = 30 | Sum ∑fixi = 2.96 |
The formula to find out the mean is
Mean =
= 2.96/30
= 0.099 ppm
Therefore, the mean concentration of SO2 in the air is 0.099 ppm.
Number of Days | 0-6 | 6-10 | 10-14 | 14-20 | 20-28 | 28-38 | 38-40 |
Number of Students | 11 | 10 | 7 | 4 | 4 | 3 | 1 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: Now, we will multiply the classmark with the number of times they have occurred, i.e, with the frequency.
Step 3: Now we will apply the general formula to calculate the mean
Now, Let's see the detailed solution:
Class Interval | Frequency (fi) | Mid-point (xi) | fixi |
|---|---|---|---|
0-6 | 11 | 3 | 33 |
6-10 | 10 | 8 | 80 |
10-14 | 7 | 12 | 84 |
14-20 | 4 | 17 | 68 |
20-28 | 4 | 24 | 96 |
28-38 | 3 | 33 | 99 |
38-40 | 1 | 39 | 39 |
Sum ∑fi = 40 | Sum ∑fixi = 499 |
The mean formula is,
Mean =
= 499/40
= 12.48 days
Therefore, the mean number of days a student was absent = 12.48.
Literacy rate (in %) | 45-55 | 55-65 | 65-75 | 75-85 | 85-95 |
Number of Cities | 3 | 10 | 11 | 8 | 3 |
Solution:
Step 1: Let us find out the Class Mark (xi) for the following class intervals by using the formula
Class Mark = (Upper class Limit + Lower Class Limit)/2
Step 2: In this case, the value of mid-point (xi) is very large, so let us assume the mean value, A = 70 and class size is h = 10.
di = (xi – A)
=> di = (xi – 70)
ui = (xi – A)/h
=> ui = (xi – 70)/10
Step 3: Now we will apply the Step Deviation Formula to calculate the mean
Now, Let's see the detailed solution:
Class Interval | Frequency (fi) | Class Mark(xi) | di = xi – a | ui = di/h | fiui |
|---|---|---|---|---|---|
45-55 | 3 | 50 | -20 | -2 | -6 |
55-65 | 10 | 60 | -10 | -1 | -10 |
65-75 | 11 | 70 = A | 0 | 0 | 0 |
75-85 | 8 | 80 | 10 | 1 | 8 |
85-95 | 3 | 90 | 20 | 2 | 6 |
Sum ∑fi = 35 | Sum ∑fiui = -2 |
So,
Mean =
= 70 + (-2/35) × 10
= 69.42
Therefore, the mean literacy rate = 69.42%.
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