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Statistics
is the branch of mathematics that deals with data through collecting, analyzing, organizing, and interpreting it to make informed decisions.
Data Collection
it is the procedure of collecting and measuring data
Data Organization
is the method of organizing different data based on your choices or qualifications
Interpretation of Data
is the process of assigning meaning into a data
Presentation of Data
it is the process of presenting data into tables, graph or paragraph form
Descriptive Statistics
it is the method of describing characteristics or giving information into short summaries
Population
it is the totality of a observation
Sample
it is a part of a population
Variable
any characteristics, number that can be measured or counted
Kinds of Variable: Qualitative
it is a kind of variable that it is categorical and it is in a form of text or paragraph
Kinds of Variable: Quantitative
it is a kind of variable where it is numerical and can be ranked
Discrete
It is a type of quantitative variable where it can be obtained by counting
Continous
it is a type of variable that can be obtained by measuring, it can be in a form of fraction or decimals
Numerical Data
it is a type of statistical data that includes measurements of height and weight
Categorical Data
it is a type of statistical data that can be measured into categories like gender.
Nominal
it is the lowest level of measurement, where it measured categories
Ordinal
it is the second level of measurement; it can be ordered but the there is no difference between datas
Interval
it is the third level of measurement where the data is ordered but with differences between data and it has no starting point like Celsius and Fahrenheit
Ratio
it is the highest level of measurement: it has an absolute zero
What are the 4 ways of Data Collection Method?
FACE TO FACE
MAIL SURVEYS
WEB ONLINE SURVEYS
PHONE SURVEYS
What are the three ways of presenting data?
TEXTUAL
TABULAR
GRAPHICAL
Frequency Distribution
is the rate how often an object or something occur
What are the ways where frequency can be represented?
Bar Graph
Line Chart
Pie Chart
mean
is the average, it can measure ordinal and ratio type of data
median
the middle value, it can measure ordinal type data
mode
most repeated value, it can measure nominal type data
range
the distance of your data
variance
it is used to determine how spread out is your data
standard deviation
it is the square root of variance
Hypothesis Testing
significant area of statistical inference, it is a step by step process of making inference or conclusion about a population
Null Hypothesis
specify exact value denoted by H0
Alternative Hypothesis
it allow possibility of some certain values denoted by h1
One Tailed Test
if the H1 is one sided and uses less than and greater than symbols or words
Two tailed Test
if the h1 is two sided and uses not equal sign
Type 1 error
it rejects the null hypothesis when it is true
Type 2 Error
it is when we accept the null hypothesis even if it is false
Testing the Means
in hypothesis testing, means, variance or proportion is compared so as to justify the need to reject the the null hypothesis
Testing for Independence / Chi Square Test
it is used to determine whether the tow variable are related or not
Correlation denoted by r
it is used whether two variables x and y are linearly related
Regression
it is used to understand the movement or trend of the given data so predictions can be made