Playful Illustrative Event New Year Party Poster
Playful Illustrative Event New Year Party Poster
Playful Illustrative Event New Year Party Poster
Performance Task in
Statistics and Probability
FRIDAY BORCELLE
123 ANYWHERE ST.,
19 APRIL 2023 ANY CITY, ST 12345
@reallygreatsite.com www.reallygreatsite.com
Height of Students
NAME OF STUDENT HEIGHT NAME OF STUDENT Height
μ=
Σx
n
=
6220
38
σ²=
= 163.68 σ=
Σ(x-m)² 2274.2112
= =
√ √ Σ(x-m)²
n
59.8477
=
2274.2112
38
= 7.7361
n 38
Simple
Random Sampling
1. Provide the list of names of all the students in the class.
2. Input all names in an online wheel spinner.
3. Spin until you get 15.
NAME OF STUDENT HEIGHT (x) (x-m) (x-m)²
μ=
Σx
n
=
2489
15
σ²=
= 165.93 σ=
Σ(x-m)² 746.9335
= =
√ √Σ(x-m)²
n-1
53.3524
=
746.9335
14
= 7.3043
n-1 14
Systematic
Random Sampling
1. List the names of the students in random using simple random sampling.
2. Calculate for interval using K = population size / sample size. (K = 38/15 = 2.53 or 3)
3. Determine the random start by randomly picking between 0-4 (K+1).
4. Pick students based on a certain amount of interval.
N NAME OF STUDENT N NAME OF STUDENT
μ=
Σx
n
=
2435
15
σ²=
= 162.33
Σ(x-m)²
=
681.3335
σ=
=
√ √
Σ(x-m)²
n-1
48.6667
=
681.3335
14
= 6.9762
n-1 14
Stratified
Random Sampling
1. Divide the class in 2 stratums (boys and girls).
2. Calculate for the 2 stratums’ sample size by dividing the population size of the
stratum and the class’ whole population.
3. Pick out the students using simple random sampling.
POPULTAION Number of students per Stratum Sample
BOYS 19 8
GIRLS 19 7
TOTAL 38 15
Boys
Boys: K = 19/38 = 7.5 or 8
Girls: K = 19/38 = 7.5 or 7
NAME OF STUDENT HEIGHT (x) (x-m) (x-m)²
μ=
Σx
n
=
1347
8
σ²=
= 168.38
Σ(x-m)²
=
σ=
211.8752
=
√ √
Σ(x-m)²
n-1
30.2679
=
211.8752
7
= 5.5016
n-1 7
Stratified
Random Sampling
1. Divide the class in 2 stratums (boys and girls).
2. Calculate for the 2 stratums’ sample size by dividing the population size of the
stratum and the class’ whole population.
3. Pick out the students using simple random sampling.
POPULTAION Number of students per Stratum Sample
BOYS 19 8
GIRLS 19 7
TOTAL 38 15
Girls
Boys: K = 19/38 = 7.5 or 8
Girls: K = 19/38 = 7.5 or 7
NAME OF STUDENT HEIGHT (x) (x-m) (x-m)²
μ=
Σx
n
=
1100
7
σ²=
= 157.14
Σ(x-m)²
=
σ=
194.8572
=
√ √
Σ(x-m)²
n-1
32.4762
=
194.8572
6
= 5.6988
n-1 6
Stratified
Random Sampling
NAME OF STUDENT HEIGHT (x) (x-m) (x-m)²
μ=
Σx
n
=
2447
15
σ²=
= 163.13 σ=
Σ(x-m)² 877.7335
= =
√ √
Σ(x-m)²
n-1
62.6953
=
877.7335
14
= 7.9180
n-1 14
Cluster
Random Sampling
1. Use the groups decided by the class officers of St. John Paul II at the start of the
school year
2. Randomly select 2 groups with the use of simple random sampling
3. List the names of the chosen students
NAME OF STUDENT HEIGHT (x) (x-m) (x-m)²
μ=
Σx
n
=
2447
15
σ²=
= 163.13 σ=
Σ(x-m)² 779.7335
= =
√ √
Σ(x-m)²
n-1
55.6952
=
779.7335
14
= 7.4629
n-1 14
Analysis for the Height of students of
Grade 11 - St. Pope John Paul II
Population Standard
Population mean (𝝁 )
Deviation (σ)
163.68 7.74
SYSTEMATIC
162.33 6.98 1.35 0.77
RANDOM
STRATIFIED
163.13 7.92 0.55 -0.18
RANDOM
As seen on the table above, both stratified and cluster random sampling has
the nearest sample mean. However, stratified random sampling is the nearest
when it comes to the sample standard standard deviation. Therefore, the best
or most compatible sampling method used is Stratified Random Sampling.
Stratified and Cluster Random Sampling both have a difference of 0.55 from
sample mean to population mean. Stratified is most compatible howeever
because the difference of population standard deviation to sample standard
deviation is -0.18.
Confidence Interval for Height
(Stratified Random Sampling)
𝝁 = 163.68 σ = 7.74
x̄ = 163.13 s = 7.92
BENOLIRAO, KEN JAIRUZ B. 106 lbs CABLING, ROCHELLE ERRIN A. 110 lbs
DELA CRUZ, JOHN EXEQUIEL A. 116 lbs CAPILI, JULIANE MARGILIE A. 95 lbs
DUMDUMAYA, JOHN CLARK A. 110 lbs DE CASTRO, CZEN CLARE R. 115 lbs
HERNANDEZ, BLISS SEBASTIAN G. 104 lbs KASILAG, NEL ANGELA I. 115 lbs
HORNILLA, LEMUEL JAN PIO P. 146 lbs LEYNES, JULIENNE NICOLE Q. 84 lbs
LAJARA, CLARENCE JUDIEL B. 148 lbs LIPA, JEANELLE ANTONIA N. 115 lbs
ORIBIANA, TRAVIS MARTY V. 134 lbs MOJICA, GABRIELLE ZOE R. 132 lbs
RODILLO, JOHN JOSEPH U. 161 lbs PINTOR, KLYVE CARMHEZ R. 129 lbs
TARGA, JARED ROLAND MARK P. 146 lbs SALVACION, RHEIGN N. 168 lbs
VILLAPANDO, MARI ELIJAH V. 137 lbs SAROL, ERICA ASHLEY D. 117 lbs
μ=
Σx
n
= 120.79
σ²=
Σ(x-m)²
σ=
= 521.8504
√ Σ(x-m)²
n
= 22.8440
n
Simple
Random Sampling
1. Go to Google and search for something that will help you randomly pick a name.
For example is a spinning wheel.
2. Encode all the names of the student from 11 - St. John Paul II in the spinning wheel
3. Spin the wheel until you reach the desired sample size which is 15.
NAME OF STUDENT WEIGHT (x) (x-x) (x-x)²
μ=
Σx
n
=
1762
15
σ²=
= 117.47 σ=
Σ(x-m)² 9787.7335
= =
√ √
Σ(x-m)²
n-1
686.8381
=
9787.7335
14
= 26.2075
n-1 14
Systematic
Random Sampling
1. Create a sample frame.
2. Arrange the Names in no particular order.
3.Determine the sampling interval k. K = population size / sample size. (K = 38/15 =
2.53 or 3)
4. Lastly, pick the students based on the calculated interval.
NAME OF STUDENT WEIGHT (x) NAME OF STUDENT WEIGTH (X)
BENOLIRAO, KEN JAIRUZ B. 106 lbs CABLING, ROCHELLE ERRIN A. 110 lbs
DELA CRUZ, JOHN EXEQUIEL A. 116 lbs CAPILI, JULIANE MARGILIE A. 95 lbs
DUMDUMAYA, JOHN CLARK A. 110 lbs DE CASTRO, CZEN CLARE R. 115 lbs
HERNANDEZ, BLISS SEBASTIAN G. 104 lbs KASILAG, NEL ANGELA I. 115 lbs
HORNILLA, LEMUEL JAN PIO P. 146 lbs LEYNES, JULIENNE NICOLE Q. 84 lbs
LAJARA, CLARENCE JUDIEL B. 148 lbs LIPA, JEANELLE ANTONIA N. 115 lbs
ORIBIANA, TRAVIS MARTY V. 134 lbs MOJICA, GABRIELLE ZOE R. 132 lbs
RODILLO, JOHN JOSEPH U. 161 lbs PINTOR, KLYVE CARMHEZ R. 129 lbs
TARGA, JARED ROLAND MARK P. 146 lbs SALVACION, RHEIGN N. 168 lbs
VILLAPANDO, MARI ELIJAH V. 137 lbs SAROL, ERICA ASHLEY D. 117 lbs
Systematic
Random Sampling
NAME OF STUDENT WEIGHT (x) (x-x) (x-x)²
μ=
Σx
n
=
1813
15
σ²=
= 120.87 σ=
Σ(x-m)² 9087.7335
= =
√ √
Σ(x-m)²
n-1
649.1238
=
9087.7335
14
= 25.4779
n-1 14
Stratified
Random Sampling
1. Divide the class in 2 stratums (boys and girls).
2. Calculate for the 2 stratums’ sample size by dividing the population size of the
stratum and the class’ whole population.
3. Pick out the students using simple random sampling.
POPULTAION Number of students per Stratum Sample
BOYS 19 8
GIRLS 19 7
TOTAL 38 15
Boys
Boys: K = 19/38 = 7.5 or 8
Girls: K = 19/38 = 7.5 or 7
μ=
Σx
n
=
1085
8
σ²=
= 135.63
Σ(x-m)² 3585.8752
=
σ=
=
√ √
Σ(x-m)²
n-1
512.2679
=
3585.8752
7
= 22.6333
n-1 7
Stratified
Random Sampling
1. Divide the class in 2 stratums (boys and girls).
2. Calculate for the 2 stratums’ sample size by dividing the population size of the
stratum and the class’ whole population.
3. Pick out the students using simple random sampling.
POPULTAION Number of students per Stratum Sample
BOYS 19 8
GIRLS 19 7
TOTAL 38 15
Girls
Boys: K = 19/38 = 7.5 or 8
Girls: K = 19/38 = 7.5 or 7
MACASAET, MARIANNE V. 99 -5 25
μ=
Σx
n
=
728
7
σ²=
=
Σ(x-m)²
104
=
2264
σ=
=
√ √
Σ(x-m)²
n-1
377.3333
=
2264
6
= 19.4251
n-1 6
Stratified
Random Sampling
NAME OF STUDENT WEIGHT (x) (x-x) (x-x)²
μ=
Σx
n
=
1813
15
σ²=
= 120.87 σ=
Σ(x-m)² 9583.7335
= =
√ √
Σ(x-m)²
n-1
684.5524
=
9583.7335
14
= 26.1640
n-1 14
Cluster
Random Sampling
1. Use the Houses that the teacher made when the school year started.
2. Randomly choose 2 Houses from the 5 Houses using siple random sampling.
3. List the names of the chosen students.
NAME OF STUDENT WEIGHT (x) (x-x) (x-x)²
μ=
Σx
n
=
1739
15
σ²=
= 117.13 σ=
Σ(x-m)² 6662.9335
= =
√ √
Σ(x-m)²
n-1
475.9238
=
6662.9335
14
= 21.8157
n-1 14
Analysis for the Weight of students of
Grade 11 - St. Pope John Paul II
Population Standard
Population mean (𝝁 )
Deviation (σ)
120.79 22.84
SYSTEMATIC
120.87 25.48 -0.08 -2.64
RANDOM
STRATIFIED
1̀20.87 26.16 -0.08 -3.32
RANDOM
Base on the table above, we can see that both Systematic and Stratified
Random Sampling are the closest to the sample mean. But the systematic is
closer than systematic when it comes to sample standard deviation. In
conclusion, Systematic Random sampling is the most compatible to use.