Two branches of statistics - 1. Descriptive Statistics
2. Inferential Statistics
Descriptive Statistics - allows you to describe something, generally the behaviour
or performance of a group of people
When describing something we look for
________________________________________ - homogeneity of performance
Homogeneity of performance - how similar things/people are to another
Ex: how a group of childrens reading performance is compared to one another
Inferential statistics - inferring, based on a small group of people, what would
happen in a large group of people (predicting their behavior)
Inferential stats are _______________________ - probability-based
focuses on the probability of something occurring (what is likely to happen)
,Random Sampling is ________________________ - the basis of ALL statistics
Random sampling - every member of the population has an equal chance of being
selected for the sample/experiment
Statics and probability will only work if samples are ____________ - random
One requirement of random sampling.... - sample with replacement - subjects are
put back into the population before another subject are sampled
4 Steps for Conducting Research - 1. Design a project - create/answer a research
question
2. Collect data/information
3. Analyze the data/information
4. Interpret the data/information
Variable - anything that can change (and be measured)
Ex: room, lighting, age, gender, IQ, size
, Constant - a number that CANNOT or DOES NOT change (registered as one
number)
Ex: the # of students in this course at this exact moment in time
Discrete variables - a variable that is not likely to change, typically a whole
number (takes on a single value)
Ex: class size after the drop date
Continuous variable - a variable that can be assigned many values/that you
assume continues on (1.1, 1.2, 1.3 etc.)
Ex: length, height
4 scales of measurement (NOIR) - 1. Nominal
2. Ordinal
3. Interval
4. Ratio
Nominal scale (name scale) - use name values, no numerical properties
qualitative or categorical
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