0:04 okay so we are going to discuss
0:08 our statistics continuation of our last
0:11 of our last lecture so we have
0:14 the scripting synaptic descriptive
0:16 statistics collection organized
0:20 organization summary and then
0:22 presentation of data while for the inferential
0:23 inferential
0:26 we have generalizing conclusion and
0:41 using the sample mean of submission of x
0:42 over n
0:45 the bats are for the mean and then for
0:46 the variable a characteristic under
0:49 sandy that assumes different values for
0:51 different elements
0:54 so a variable is often denoted by
0:59 x y or z the value of a variable for an
1:00 element is called
1:07 for the data set is a collection of observation
1:08 observation
1:13 on one or more variables
1:16 quantitative variable variables
1:18 a variable that can be measured numerically
1:19 numerically
1:23 quantitative variables may be classified
1:24 as either
1:26 descriptive variables or continuous variables
1:29 variables
1:31 for the quantitative variables may be
1:33 classified as either
1:36 descriptive discrete variables and variables
1:37 variables
1:39 values are countable so for example
1:41 number of the students of
1:43 present-day class number of the green
1:45 marbles in hr
1:47 number of tails even clipping three coins
1:48 coins
1:51 and students grade
1:55 a point average so yeah
1:57 for the continuous variables a variable
2:00 whose value is obtained by measurement
2:03 so we have the height of the students
2:06 in the class and then weight of the students
2:07 students
2:09 in the class or the time it takes to get school
2:10 school
2:13 or the distance travel between classes
2:14 so these are the example of the continuous
2:15 continuous
2:19 variables well for the
2:22 qualitative variables of equality a
2:24 variable that cannot assume
2:26 a numerical value but can be classified
2:28 into two or more
2:31 non-numeric categories
2:52 we have gender martial status
2:56 for the polynomial we have brother pc
2:59 or hair color for the quantitative we
3:00 have the discrete
3:03 and continuous for the discrete children
3:07 in family or strokes on a golf
3:10 hall for continuous we have the amount
3:10 of income
3:14 tax paid and then weight of a
3:23 and qualitative at quantitative scription
3:57 quantitative or quality
4:10 [Music] ciao
