INTRODUCTION AND DESCRIPTIVE STATISTICS) TRU–Open
Learning
Assignment 1: INTRODUCTION AND DESCRIPTIVE STATISTICS
Rajjasreet Kaur
Assignment No. 1
Submitted to Professor John Marasigan
In partial fulfilment of the requirements for
Psychology 2101
TRU–Open Learning
, Question 1.
A. Descriptive statistics: A group of statistical techniques known as "descriptive
statistics" are used to organize, summarize, and make data easier to understand.
Examples of these techniques include using flowcharts and chronological ordering to
show data in a way that makes sense to the reader that research has determined.
Inferential statistics: The statistical techniques known as inferential statistics
are used to draw generalizations or conclusions about a particular population from the
sample data that have been collected.
B. Experimental method: A form of research approach used to identify a cause-and-
effect relationship between two variables by changing one variable and watching and
measuring the other while controlling for any other variables that may impact the
conclusion.
Correlational method: A research method in which data is collected and
analyzed to see whether there is a link between two separate variables without
modifying or controlling for any of the variables. Correlational research, for example,
may aim to investigate whether there is a link between two variables such as task
performance and sleep hours.
C. Nominal scale: A nominal scale evaluates observations by categorizing people into
groups with various labels/names but no statistical difference.
Ratio scale: Set of organized categories made up of intervallic units of
measurement that are all the same size (between the scale's values). Because they
have an absolute zero-point, ratio scales such as weight or height measurements
depict magnitude ratios such as weight or height measurements.