OBJECTIVES Define Percentile in statistic Calculate the Percentile for Grouped data Relate the concept of measure of position of Percentile for Group data in real-life situations.
MEASURES OF POSITION PERCENTILES FOR GROUPED DATA RAPHAEL V. PEREZ
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Early on, you have already learned that: kth quartile denoted by Q k , kth decile denoted by D k , are computed, respectively, as follows: Measures of Position: Percentile for Grouped Data Q k = LB + - cf b f QK i D k = LB + - cf b f DK i and
What will be the formula for the kth percentile? Measures of Position: Percentile for Grouped Data Q k = LB + - cf b f QK i D k = LB + - cf b f DK i and if: P k = LB + - cf b f PK i Then,
THE PERCENTILE FOR GROUPED DATA The percentile is ninety-nine score points which divide a distribution into one 100 equal parts Measures of Position: Percentile for Grouped Data
THE kth PERCENTILE FORMULA FOR GROUPED DATA Measures of Position: Percentile for Grouped Data P k = LB + - cf b f PK i LB = lower boundary of the kth percentile class total frequency cf b = cumulative frequency before the percentile class f PK = frequency of the percentile class i = the interval or class width nth percentile where = 1, 2, 3,…..97, 98 and 99 Where:
To determine the percentile class in the Frequency Distribution Table: Measures of Position: Percentile for Grouped Data Step 1: Compute for the Position to determine percentile class Position of P K : Step 2: Set the given facts for the identified Percentile Class. Like : LB - the lower boundary of a percentile class cf b - cumulative frequency before the percentile class - the position of a percentile class f PK - frequency of a percentile class i - the class width or interval
To determine the percentile class in the Frequency Distribution Table: Measures of Position: Percentile for Grouped Data Step 3: Set the formula and substitute the variables using the given facts and then, evaluate. Step 4: Write the analysis of the value of the Percentile Class
Example: What should be the score to exceed the exact 65% (65th percentile) of the students? Measures of Position: Percentile for Grouped Data Class score Frequency(f) LB CF 46-50 4 41-45 8 36-40 11 31-35 9 26-30 12 21-25 6
Example: What should be the score to exceed the exact 65% (65th percentile) of the students? Measures of Position: Percentile for Grouped Data Class score Frequency(F) LB CF 46-50 4 45.5 50 41-45 8 40.5 46 36-40 11 35.5 38 31-35 9 30.5 27 26-30 12 25.5 18 21-25 6 20.5 6
Calculate the 65 th Percentile of the Mathematics Test Scores of 50 Students.
Compute for the Position of the 65th Percentile Class or P 65 Measures of Position: Percentile for Grouped Data SCORES (Class Interval) Frequency ( f ) LB <cf 46-50 4 45.5 50 41-45 8 40.5 46 36-40 11 35.5 38 31-35 9 30.5 27 26-30 12 25.5 18 21-25 6 20.5 6 N = 50 Position of P 65 : : : : 32.50 or 33th The 33 position is between the cumulative frequency 27th and 38th. Use the class 36-40 P 65
Step 2: Set the given facts for 65th Percentile Class or P 65 Measures of Position: Percentile for Grouped Data SCORES (Class Interval) Frequency ( f ) LB <cf 46-50 4 45.5 50 41-45 8 40.5 46 36-40 11 35.5 38 31-35 9 30.5 27 26-30 12 25.5 18 21-25 6 20.5 6 N = 50 P 65 Given: LB = 35.5 N = 50 cf b = 27 f P65 = 11 i = 5 cf b = LB = f P65 =
Step 3 and 4: Set the formula for P 65 ,substitute and evaluate. Write the final answer and put the analysis. Measures of Position: Percentile for Grouped Data Given: LB = 35.5 N = 50 cf b = 27 f P65 = 11 i = 5 P k = LB + - cf b f PK i Formula: P 65 = 35.5 + - 27 11 5
Measures of Position: Percentile for Grouped Data P 65 = 35.5 + 33 - 27 11 5 P 65 = 35.5 + 6 11 5 P 65 = 35.5 + 0.5 5 P 65 = 35.5 + 2.5 P 65 = 38.0 Analysis: 65% of the students got a score below 38 and 35% of the students got a score above 38.