fdt

Question 1

is a tabular arrangement of data by categories and their corresponding frequencies.

Answer 1

Frequency distribution table

Question 2

the data are incorporated in the text of the report.

Answer 2

Textual form

Question 3

the data are presented in rows and columns.

Answer 3

Tabular form

Question 4

utilized for an “easy to digest” information. This comes in graphs and diagrams.

Answer 4

graphics form

Question 5

are data collected in an investigation and they are not organized systematically.

Answer 5

Raw data

Question 6

-Raw data that are presented in the form of a frequency distribution.

Answer 6

Grouped data

Question 7

2 METHODS OF ORGANIZING RAW DATA

Answer 7

Array and Stem-and-leaf display/diagram

Question 8

An ordering of the observations from smallest to the largest or vice versa (low and high values can be easily perceived).

Answer 8

Array

Question 9

gives a good overall impression of the data.

Answer 9

Stem and leaf

Question 10

-Another way of presenting raw data is the
frequency table.
-When the data are arranged in tabular form by
the frequencies
-the arrangement itself is called

Answer 10

Frequency distribution

Question 11

Statisticians

Answer 11

Freud and simon

Question 12

Y =
X =
σ =
μ =
π =
e =

Answer 12

Y = height of the curve
X = any score in the distribution table
σ = standard deviation of the population
μ = mean of the population
π = 3.1416
e = 2.7183

Question 13

z-Table also known as

Answer 13

the Table of Areas under the Normal Curve

Question 14

e in statistics refers to the distribution of your data between the lowest and
highest values in the distribution.

Answer 14

range

Question 15

is given by the midpoint of the upper limit of one class and the lower limit of the next
class

Answer 15

class boundary

Question 16

The class boundary with a smaller value is referred to as the lower boundary

Answer 16

lower boudary

Question 17

The class boundary with a higher value is referred to as the upper boundary.

Answer 17

upper boundary

Question 18

is the average of the upper limit and the lower limit of a class in a frequency distribution.
In other words, the class mark is the mid-value of the given class interval.

Answer 18

class mark

Question 19

The values which determine the upper and lower limits of a class

Answer 19

class limits

Question 20

Smallest data value that can be included in the class

Answer 20

lower limit

Question 21

Largest data value that can be included in the class

Answer 21

upper limit

Question 22

is the number of values in a variable that is less than or equal to the value of certain variables. It equates to the total frequencies of the sum of the classes.

Answer 22

cumulative frequency

Question 23

refers to the difference of the upper-class limit and lower-class limit.

Answer 23

class interval

Question 24

refers to the difference between the upper and lower boundaries of a class in a frequency distribution.

Answer 24

class size

Question 25

Numbers that are used to describe set of data are called

Answer 25

DESCRIPTIVE MEASURES

Question 26

Another method of summarizing data is to compute numbers, such as average, that describe a set of data.

Answer 26

measure of central tendecy

Question 27

is a single number that represents the typical score of the data.

Answer 27

A measure of central allocation or central tendency

Question 28

is the average value of all the data in the set.

Answer 28

mean

Question 29

- is the value that has exactly half the data above it and half below it

Answer 29

median

Question 30

is the value that occurs most frequently on the set.

Answer 30

mode

Question 31

is defined as the sum of all the scores or data divided by the number of scores in the data. In particular, the mean is denoted by x the scores

Answer 31

the mean for ungrouped data

Question 32

In general, the weighted mean of a group of numbers or scores designated by x1, x2, .., xn Which occur W1, W2, ..., Wn respectively is

Answer 32

weighted arithmetic mean

Question 33

is average of a given set of data.

Answer 33

mean

Question 34

Is the sum of squares of differences between all numbers and means.

Answer 34

variance

Question 35

Square root of variance. It is a measure of the extent to which data varies from the mean

Answer 35

standard deviation

Question 36

m = Ex * P(x) σ² = √(x -μ)² + P(x) σ² = √E(x -μ)² + P(x)