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
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
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
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
Reminder to make as below to ease your calculation:
r =? , =? =? =? N=? =? =? =? =? SDy=? SDx=?
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.
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.
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.