What does a frequency distribution do?
-gives u information on the composition of the data-set
revise types of distribution graphs-page 3
What is the difference between population distribution and sample distribution
-Population distribution is all data
-Sample distribution is your data (doesnt show the real distribution)
what does parametric statistics assume
-Parametric statistics assume data comes from a normal distribution,violating these assumptions results in an unreliable conclusion
For a statistical test you first should test whether the sample data differs from a normal distribution , if it is different from normal what are the two options you should do
A-Transform the data
B-Use a non-parametric statistic
What is the difference between explanatory and response variables?
-A response variable is the dependant variable , the variable youre interested in(the one we measure)
-An explanatory variable is the independent variable , the variable that plays a role in the value of your response variable ,the explanatory variable plays a role in the response variable value
what axis do the explanatory variable and response variable go on a graph
-The explanatory variable (independant variable) goes on the x-axis whereas the response variable (dependant) goes on the y-axis
What are categorical,discrete and continuous variables?
Categorical;variable that can only take one of a few values,qualitative data (gender)
Discrete;a variable that can take on of many specific values ,quantitative data that can take countable values (number of pets)
Continuous ; a variable that can take any value , quantitative data that can take any value within a range (height )
give an example for each ; categorical ,discrete and continuous variable?
categorical=gender
discrete=number of pets
continuous=height
Provide a summary of the differences between categorical , discrete and continuous variables;
Categorical -labels (gender)
Discrete-countable numbers(number of pets)
Continuous -measurable values (height)
why are frequency distributions important
Frequency distributions are important because they organize raw data into a readable format, helping to reveal data patterns, trends, and outliers that are otherwise hidden in large datasets.
