DATA MANAGEMENT Flashcards
a branch of mathematics that deals with data collection, organization, analysis, interpretation and presentation.
statistics
defined as the procedure of collecting, measuring, and analyzing accurate insights for research using standard validated techniques
data collection
refers to the method of classifying and organizing data sets to make them more useful, it can be applied to physical records or digital records.
data organization
process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making
data analysis
process of assigning meaning to the collected information and determining the conclusions, significance, and implications of the findings.
interpretation of the data
refers to the organization of data into tables, graphs or charts, so that logical and statistical conclusions can be derived from the collected measurements
presentation of the data
two kinds of variables
qualitative
quantitative
also called as categorical variables are variables that are not numerical. It describes data that fits into categories.
Qualitative variables
are numerical. It can be ranked and has order
Quantitative variables
no. of students present
Discrete
no. of re marbles in a jar
Discrete
no. of heads when flipping three coins
Discrete
students’ grade level
Discrete
height of students in class
continuous
weight of students in class
continuous
time it takes to get to school
continuous
distance traveled between classes
continuous
Types of statistical data
numerical
categorical
These data have meaning as a measurement such as a person’s height, weight, IQ, or blood pressure or shares of stocks a person owns.
Numerical Data
represent characteristics such as a person’s gender, marital status, hometown, or the types of motives they like.
Categorical Data
This can take on numerical values (such as 1 indicating male and
2 indicating female) but those numbers don’t have mathematical meaning.
Categorical Data
Four level of measurements
Nominal
ordinal
interval
ratio
the lowest of the four ways to characterize the data. it deals with names, categories, or labels.
Nominal
the data at this level can be ordered but no differences between the data
ordinal