descriptive statistics data of the Boring Student of mathematics

Descriptive statistics data of the boring student of Mathematics

Quantitative Methods
Empirisme
Epistemological : Knowledge based on experience
Semantics : Empirical verification (positifisme logical)
Mapping reality: Drafts, model, rules (generalized)
Statistics: the theory of error (error), how might a rule
Explanation: the search for possible (likely) from

the may not (unlikel

Quantitative methods that the general

1. Research survey
2. Content Analisis
3. Kuasi-Experimental research
   
   

Statistics
Descriptive Statistics : statistics that use data in a group to explain or interesting conclusion about that group.

Venue size: the mode, mean, median, etc
Size Variability : varians, standard, deviation, range, etc
Size format: skewness, kurtosis, box plot.

Statistics Inferensial ( statistics induktif) : The statistics using data from a sample to attract conclusion about the population from which the sample was taken.

From Theory to Research

Grand Theories
( deduction = the Grand Theories: deductive logic (the deduction =process of reasoning in which a conclusion process of reasoning in which a conclusion

follows necessarily from the stated premises,; follows necessarily from the statutory premises;

inference by reasoning from the general to the inference by reasoning from the general to the

specific)

Middle Range Analysis

Ground Theories : develop a theory ( induction = the act or process of inductive (= induction or the possible process of

deriving general principles from particular facts General Principles deriving from particular Facts

or instances)

Research and hypothetical questions
Research question:

Eksplorasi Exploration

Research hypothetical: state relations

Hypothesis zero

Error (error) type I, type II, power

qualitative approach

Vs. quantitative