Review Quadrilaterals Lesson 1:Introduction to Statistics Lesson 2:Statistical Tables
It is classified as convex or non – convex. Q uadrilateral
It has two pairs of opposite sides that are parallel and congruent. P arallelogram
Parallelogram with four right angles. R ectangle
two angles with common sides C onsecutive angles
It is a type of parallelogram with four congruent sides and four right angles. S quare
Kinds of quadrilateral having one pair of parallel sides. T rapezoid
Parallelogram with four equal sides. R hombus
Refers to numerical observation of any kind, as a branch of mathematics, it deals with the collection, analysis, presentation, and interpretation of data. Statistics
Involves the collection, organization, and presentation of data and the summary of important values that describe data. D escriptive Statistics
A statement or theory subjected to a test is called a data . Hypothesis
It refers to the entire group of individual objects or items. It is usually denoted by n . Sample
This is a method in which behaviour is observed, recorded, and st Observation method
This method is easy to do but the preparation takes times. Questionnaire method
Refer to any quantitative or qualitative facts or information. Data
It refers to characteristics or categories which cannot be subjected to mathematical operations and are normally expressed using ordinary descriptive language. Qualitative Data
It refers to variables which can be found by counting. Discrete Variable
It is the midpoint or the middle value in a class. Class Mark (CM)
It is the difference between the upper class boundary and the lower class boundary. Class size (i)
It is the number of times a score appears in a distribution. Frequency
It refers to any specific characteristics or attribute that describes a population or a sample. Variables
It refers to a variable which can occupy any value over a given range. It can obtain by measuring quantities. Continuous Variable
It is the difference between the highest number and the lowest number in a given set of data. Range (R)
It is any of the groups or categories in a frequency distribution table where each of the data belongs. Class or Class Interval
It is used to organize and present numerical information. Statistical Table
It is used to organize and present numerical information. Statistical Table
Using the frequency distribution table above, determine the following: Scores of 50 students in a Mathematics test 25 – 27 10 22 – 24 6 19 – 21 18 16 -18 11 13 – 15 5
Using the frequency distribution table, determine the following: Scores of 50 students in a Mathematics test 25 – 27 10 22 – 24 6 19 – 21 18 16 -18 11 13 – 15 5 The size of each class interval 3 The total frequency 50 The lowest class 13-15 The highest class 25-27 The class with the highest frequency 19-21
Using the frequency distribution table, determine the following: Scores of 50 students in a Mathematics test 25 – 27 10 22 – 24 6 19 – 21 18 16 -18 11 13 – 15 5 The class with the lowest frequency 13-15 The upper boundary of the highest class 27.5 The lower boundary of the lowest class 12.5 The class mark of the highest class 26 The class mark of the 2 nd lowest class 17
Using the frequency distribution table above, determine the following: Scores of 50 students in a Mathematics test 25 – 27 11 22 – 24 7 19 – 21 19 16 -18 12 13 – 15 6
Using the frequency distribution table, determine the following: The size of each class interval 3 The total frequency 55 The lowest class 13-15 The highest class 25-27 The class with the highest frequency 19-21 Scores of 50 students in a Mathematics test 25 – 27 11 22 – 24 7 19 – 21 19 16 -18 12 13 – 15 6
Using the frequency distribution table, determine the following: The class with the lowest frequency 13-15 The upper boundary of the highest class 27.5 The lower boundary of the lowest class 12.5 The class mark of the highest class 26 The class mark of the 2 nd lowest class 17 Scores of 50 students in a Mathematics test 25 – 27 11 22 – 24 7 19 – 21 19 16 -18 12 13 – 15 6