Thanks.
Reference for Descriptive Statistic:
100% = All
80% = Majority
75% = Three-quarter
65% = Two-thirds
50% = Half
33% = One-third
20% = One-fifth
10% = Minority/One-tenth
0% = Nill/None
Value (+/-):
0.0 –
0.20 = very weak relationship
0.21–
0.40 = weak relationship
0.41–
0.60 = moderate
0.61–
0.80 = strong relationship
0.81 – 1.00 = very strong relationship
X Y
(+)
(-)
Central Tendencies
MODE = the highest
frequency
MEDIAN
= arrange form the smallest to the biggest, and then take the middle no. Example:
1 2 2 4 5 7 7
Number 4 is the median.
But if there are two numbers instead of one, both numbers should be plus or add
and then divide by two, for example:
1 2 2 3 4 4 5 6 7 8 8 9
= 4+5=9. 9÷2=4.5
There for the MEDIAN are 4.5
MEAN = or an average score of the total
Indices of Dispersion
Standard Deviation:
or
Variant:
V=S²
Correlation (relationship) =
Slope (b):
If we control x, what is y?
• = 13+b=?
Intercept (a):
To find a if x=0
Equation of Straight Line:
To find y = y
= a + bx
To find x = a
= bx = y
bx = y –
a
x =
Reminder to make as below to ease your calculation:
r =? , =? =? =? N=? =? =? =? =? SDy=? SDx=?
DEFINITIONS:
Statistic:
A set of mathematical method for organizing, summarizing and interpreting
method.
Tally System:
classical way to collect data, to count or measure the variable.
1.
Descriptive
Statistic: are statistical methods that are use to organizing,
summarizing and simplify the data to describe the population.
2.
Inferential/Corollation
Statistic: are techniques that allowed us to study
samples and then make generalizations about the populations.
DATA:
1. Constant: a characteristic or
condition that does not vary but is the same for every person.
2. Variables: a characteristic or
condition that changes or has different values between one another.
Independent
Variables: is the variable that is manipulated by
researchers and assume as the cause.
Dependent
Variables: Is the variable there is observe for
changes in order to access the effect of the treatment.
Corrolation:
Observation over 2 types of variables regarding their relationship.
Multiple
Variables: The observation of relationship between
IV and DV where both of them may consist more than one variable.
TYPES
OF MEASUREMENT
1.
Nominal:
is a set of categorize that are indicated by different names according to their
particular characteristics. Example: Gender, race, etc.
2.
Ordinal:
is a set of categorizes that are organized in an order sequence. For example
from high to low, level of studies, etc.
3.
Interval:
is a set of one ordered categories where each categorize is set with certain
values. Example: range 3 to 30, etc.
T-TEST
1.
One
sample T-Test: Testing a variable with a Test Score.
2.
Independent
T-Test: Comparing two categories with a
variable.
3.
Paired
T-Test: Comparison of two separate variables.