2. Descriptive statistics:
Summarization of a collection of data in a clear and
understandable way.
the most basic form of statistics.
lays the foundation for all statistical knowledge.
4. The distribution:
Mean
Median
Mode
Arithmetic mean or mean:
Arithmetic mean or simply the
mean of a variable is defined as the sum of the observations
divided by the number of observations.
If the variable x assumes n values
x1, x2 … xn then the mean, X , is given by
X=∑x/n
5. Median:
The median is the middle most item that
divides the group into two equal parts,
one part comprising all values greater, and the other, all
values less than median.
When n is odd Median = Md = (n+1/2)th value.
When n is even Average of =(n/2)th and (n/2+1)th value.
(n is the number of observations)
9. What is an ANOVA?
One-way ANOVA stands for Analysis of
Variance
Purpose:
Extends the test for mean difference between
two independent samples to multiple
samples.
Employed to analyze the effects of
manipulations (independent variables) on a
random variable (dependent).
10. Dependent variable:
the variable we are trying to explain, also
known as response variable (Y).
Independent variable:
also known as explanatory variables (X).
definitions:
11. H0 1= 2 = 3 …..= n
H1 1 2 3 ….. n
The null hypothesis tests whether the mean of all the
independent samples is equal
The alternative hypothesis specifies that all the
means are not equal
What does anova tests?