This document discusses measures of central tendency, specifically how to calculate the mean of grouped data. It provides the formula for calculating the mean of grouped data and walks through an example of finding the mean test scores of students. The document demonstrates how to find the midpoint of each score group, multiply by the frequency, sum the results, and divide by the total frequency to determine the mean.
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESChuckry Maunes
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
Video Presentation Link: https://www.youtube.com/watch?v=bRYWBbvOMpo
Reference: Grade 10 Mathematics LM
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILESChuckry Maunes
MEASURES OF POSITION FOR UNGROUPED DATA : QUARTILES , DECILES , & PERCENTILES
Video Presentation Link: https://www.youtube.com/watch?v=bRYWBbvOMpo
Reference: Grade 10 Mathematics LM
The steps in computing the median are similar to that of Q1 and Q3
. In finding the median,
we need first to determine the median class. The Q1 class is the class interval where
the 𝑁
4
th score is contained, while the class interval that contains the 3𝑁
4
𝑡ℎ
score is the Q3 class.
Formula :𝑄𝑘 = LB +
𝑘𝑁
4
−𝑐𝑓𝑏
𝑓𝑄𝑘
𝑖
LB = lower boundary of the of the 𝑄𝑘 class
N = total frequency
𝑐𝑓𝑏= cumulative frequency of the class before the 𝑄𝑘 class
𝑓𝑄𝑘
= frequency of the 𝑄𝑘 class
i = size of the class interval
k = the value of quartile being asked
The interquartile range describes the middle 50% of values when
ordered from lowest to highest. To find the interquartile range (IQR),
first find the median (middle value) of the upper and the lower half of
the data. These values are Q1 and Q3
. The IQR is the difference
between Q3 and Q1
.
Interquartile Range (IQR) = Q3 – Q1
The quartile deviation or semi-interquartile range is one-half the
difference between the third and the first quartile.
Quartile Deviation (QD) =
𝑄3−𝑄1
2
The formula in finding the kth decile of a distribution is
𝐷𝑘 = 𝑙𝑏𝑑𝑘 +
(
𝑘
10)𝑁 − 𝑐𝑓
𝑓𝐷𝑘
𝑖
𝐿𝐵𝑑𝑘 − 𝐿𝑜𝑤𝑒𝑟 𝐵𝑜𝑢𝑛𝑑𝑎𝑟𝑦 𝑜𝑓 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝑁 − 𝑡𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑖𝑒𝑠
𝑐𝑓 − 𝑐𝑢𝑚𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑏𝑒𝑓𝑜𝑟𝑒 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝐹𝑑𝑘 − 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑜𝑓 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝑖 − 𝑐𝑙𝑎𝑠𝑠 𝑠𝑖𝑧𝑒
Distinguish between Parameter and Statistic.
Calculate sample variance and sample standard deviation.
Visit the website for more services: https://cristinamontenegro92.wixsite.com/onevs
The steps in computing the median are similar to that of Q1 and Q3
. In finding the median,
we need first to determine the median class. The Q1 class is the class interval where
the 𝑁
4
th score is contained, while the class interval that contains the 3𝑁
4
𝑡ℎ
score is the Q3 class.
Formula :𝑄𝑘 = LB +
𝑘𝑁
4
−𝑐𝑓𝑏
𝑓𝑄𝑘
𝑖
LB = lower boundary of the of the 𝑄𝑘 class
N = total frequency
𝑐𝑓𝑏= cumulative frequency of the class before the 𝑄𝑘 class
𝑓𝑄𝑘
= frequency of the 𝑄𝑘 class
i = size of the class interval
k = the value of quartile being asked
The interquartile range describes the middle 50% of values when
ordered from lowest to highest. To find the interquartile range (IQR),
first find the median (middle value) of the upper and the lower half of
the data. These values are Q1 and Q3
. The IQR is the difference
between Q3 and Q1
.
Interquartile Range (IQR) = Q3 – Q1
The quartile deviation or semi-interquartile range is one-half the
difference between the third and the first quartile.
Quartile Deviation (QD) =
𝑄3−𝑄1
2
The formula in finding the kth decile of a distribution is
𝐷𝑘 = 𝑙𝑏𝑑𝑘 +
(
𝑘
10)𝑁 − 𝑐𝑓
𝑓𝐷𝑘
𝑖
𝐿𝐵𝑑𝑘 − 𝐿𝑜𝑤𝑒𝑟 𝐵𝑜𝑢𝑛𝑑𝑎𝑟𝑦 𝑜𝑓 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝑁 − 𝑡𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑖𝑒𝑠
𝑐𝑓 − 𝑐𝑢𝑚𝑚𝑢𝑙𝑎𝑡𝑖𝑣𝑒 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑏𝑒𝑓𝑜𝑟𝑒 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝐹𝑑𝑘 − 𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦 𝑜𝑓 𝑡ℎ𝑒 𝑘𝑡ℎ 𝑑𝑒𝑐𝑖𝑙𝑒
𝑖 − 𝑐𝑙𝑎𝑠𝑠 𝑠𝑖𝑧𝑒
Distinguish between Parameter and Statistic.
Calculate sample variance and sample standard deviation.
Visit the website for more services: https://cristinamontenegro92.wixsite.com/onevs
Answering a question on Statistics course for 2nd year B.Sc. student at Department of Fisheries, University of Chittagong, Chattogram 4331, Bangladesh. Submission data: 27th August, 2020.
Excel can create a visual timeline chart and help you map out a project schedule and project phases. Specifically, you can create a Gantt chart, which is a popular tool for project management because it maps out tasks based on how long they'll take, when they start, and when they finish.
Introduction. Data presentation
Frequency distribution. Distribution center indicators. RMS. Covariance. Effects of
diversification. Choice of the weighing method.
More: https://ek.biem.sumdu.edu.ua/
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Tried to calculate it both manually and using MS Excel in built macros.
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A Strategic Approach: GenAI in EducationPeter Windle
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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18. The mean (also known as the
arithmetic mean) is the most
commonly used measure of central
position. It is used to describe a set of
data where the measures cluster or
concentrate at a point.18
Mean
21. 21
Illustrative Example:
Calculate the mean of the Mid-year Scores of
Students in Mathematics.
Score Frequency
41-45 1
36-40 8
31-35 8
26-30 14
21-25 7
16-20 2
Mid-year Test scores of students in Mathematics
22. 22
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1
36-40 8
31-35 8
26-30 14
21-25 7
16-20 2
23. 23
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8
31-35 8
26-30 14
21-25 7
16-20 2
24. 24
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8 38
31-35 8
26-30 14
21-25 7
16-20 2
25. 25
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8 38
31-35 8 33
26-30 14
21-25 7
16-20 2
26. 26
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8 38
31-35 8 33
26-30 14 28
21-25 7
16-20 2
27. 27
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8 38
31-35 8 33
26-30 14 28
21-25 7 23
16-20 2
28. 28
Solution
1. Find the midpoint or class mark ( ) of each
class or category.
mX
2
m
LL UL
X
Scores
41-45 1 43
36-40 8 38
31-35 8 33
26-30 14 28
21-25 7 23
16-20 2 18
29. 29
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43
36-40 8 38
31-35 8 33
26-30 14 28
21-25 7 23
16-20 2 18
30. 30
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38
31-35 8 33
26-30 14 28
21-25 7 23
16-20 2 18
31. 31
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33
26-30 14 28
21-25 7 23
16-20 2 18
32. 32
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28
21-25 7 23
16-20 2 18
33. 33
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23
16-20 2 18
34. 34
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23 161
16-20 2 18
35. 35
Solution
2. Multiply the frequency and the corresponding
class mark . fXm
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23 161
16-20 2 18 36
36. 36
Solution
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23 161
16-20 2 18 36
3. Find the sum of the results in step 2. fXm
37. 37
Solution
3. Find the sum of the results in step 2.
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23 161
16-20 2 18 36
fXm
38. Solution
4. Solve the mean using the formula.
Scores Frequency
(f )
41-45 1 43 43
36-40 8 38 304
31-35 8 33 264
26-30 14 28 392
21-25 7 23 161
16-20 2 18 36
n=40
Substitution
Therefore, the
mean of Mid-
year test is 30.
mfX
X
n
1,200
40
30X
39. 39
Let’s practice: Find the mean weight of
Grade 8 Students.
Weight in kg Frequency
75-79 1
70-74 4
65-69 10
60-64 14
55-59 21
50-54 15
45-49 14
40-44 1
40. Weight in kg Frequency (f)
75-79 1
70-74 4
65-69 10
60-64 14
55-59 21
50-54 15
45-49 14
40-44 1
40
41. Weight in kg Frequency (f)
75-79 1 77
70-74 4
65-69 10
60-64 14
55-59 21
50-54 15
45-49 14
40-44 1
41
42. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10
60-64 14
55-59 21
50-54 15
45-49 14
40-44 1
42
43. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10 67
60-64 14
55-59 21
50-54 15
45-49 14
40-44 1
43
44. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10 67
60-64 14 62
55-59 21
50-54 15
45-49 14
40-44 1
44
45. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10 67
60-64 14 62
55-59 21 57
50-54 15
45-49 14
40-44 1
45
46. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10 67
60-64 14 62
55-59 21 57
50-54 15 52
45-49 14
40-44 1
46
47. Weight in kg Frequency (f)
75-79 1 77
70-74 4 72
65-69 10 67
60-64 14 62
55-59 21 57
50-54 15 52
45-49 14 47
40-44 1
47
60. 60
Generalization
The mean (also known as the
arithmetic mean) is the most
commonly used measure of central
position. It is used to describe a set
of data where the measures cluster
or concentrate at a point.
63. 63
Group Work
CRITERIA
5 4 3 2 1
ACCURACY 100% of the steps
and solutions
have no
mathematical
errors.
Almost all (90-
99%) of the steps
and solutions
have no
mathematical
errors.
Almost all (85-
89%) of the steps
and solutions
have no
mathematical
errors.
Most (75-84%) of
the steps and
solutions have
no mathematical
errors.
Less than 75% of
the steps and
solutions have
mathematical
errors.
64. 64
Group Work
CRITERIA
5 4 3 2 1
ORGANIZATION It uses an
appropriate and
complete strategy
for solving the
problem. Uses clear
and effective
diagrams and/or
tables.
It uses complete
strategy for solving
the problem. Uses
creative diagrams
and/or tables.
It uses strategy for
solving the
problem. Uses
diagrams and/or
tables.
It uses an
inappropriate
strategy or
application of
strategy unclear.
There is limited
use or misuse of
diagrams and/or
tables.
It has no particular
strategy for
solving the
problem. It does
not show use of
diagrams nor
tables.
65. 65
Group Work
CRITERIA
5 4 3 2 1
DELIVERY There is a clear and
effective explanation
of the solution. All
steps are included so
the audience does
not have to infer how
the task was
completed.
Mathematical
representation is
actively used as a
means of
communicating ideas,
and precise and
appropriate
mathematical
terminology.
There is a clear
explanation and
appropriate use of
accurate
mathematical
representation. There
is effective use of
mathematical
terminology.
There is explanation
and mathematical
representation.
There is
mathematical
terminology
There is an
incomplete
explanation; it is not
clearly represented.
There is some use of
appropriate
mathematical
representation and
terminology to the
task.
There is no
explanation of the
solutions. The
explanation cannot
be understood, or is
unrelated to the
task. There is no use
or inappropriate use
of mathematical
representation and
terminology to the
task.
67. 67
Assignment
1. A telecommunications company is conducting a study on the
average number text messages send per day by high school
students in Marikina. A random sample of 50 college students
from the said area is taken. Find the mean of the data set.
Class Interval Frequency
30-34 8
25-29 10
20-24 16
15-19 9
10-14 7
68. 68
2. Study on Median for Grouped Data
a.Describe Median.
b.What is the formula in computing the
median for grouped data?
Reference: Mathematics Learner’s Module by
Emmanuel P. Abunzo
Pages 564-580