StatCrunch: Getting Started - Short Version Video Lecture | Statcrunch Tutorials for Beginners - Data & Analytics

In this video, you will learn
the basics of StatCrunch
including calculating
basic summary statistics,
constructing simple graphs,
interacting with those graphs,
and copying StatCrunch results
into other applications.
StatCrunch is a web-based
statistical software package
for analyzing data that
works on any desktop browser,
such as Chrome, Firefox,
Internet Explorer, or Safari.
StatCrunch also works with
web browsers on smartphones
or tablets running iOS, Android,
and other mobile operating
systems.
For this video, the
dataset I'll be using
is called Responses to
Is college worth it?
This dataset
contains information
collected from a survey
conducted at StatCrunch.com.
Respondents to the
survey were asked
if college was worth the cost.
With the possible answers
being yes, no, or unsure.
Respondents also provided
their gender, age,
and if they were a
current college student.
All right, now let's perform
some basic operations
in StatCrunch.
The Stat menu contains
a number of procedures
for Summary Statistics,
Tabulation, Hypothesis Testing,
Confidence Intervals,
Regression, and much more.
With this dataset, I'll consider
the task of computing summary
statistics for the mean and
median ages of the respondents.
To accomplish this task,
under the Stats menu,
I'll choose Summary Stats.
Columns.
And now I'll select
the Age column.
I'll click Compute.
And StatCrunch generates a
table of summary statistics.
The mean age of respondents
is shown to be roughly 29.31.
And the median
age of respondents
is shown much lower,
at a value of 23.
To compute separate
summary statistics
for each value of gender,
back under the Options menu,
I'll choose Edit.
This takes us back to
the original window
where we set up our table.
Now under Group by,
I'll choose Gender.
And click Compute.
The mean age of
female respondents
and the mean age
of male respondents
are both very close to 29.3.
The median age of both
genders are exactly 23.
The Graph menu contains a number
of options for displaying data
in a variety of formats.
To summarize how respondents
felt about college being
worth the cost,
under the Graph menu,
I'm going to choose
Bar Plot with Data.
I'm going to select
the Good column, which
represents Is college worth it?
And click Compute.
In this case, the plot indicates
the overwhelming majority
of respondents said that
college was worth the cost.
To break out these
responses by gender,
I'll go back under the
Options menu for the graph.
Choose Edit.
And in the Group by
box, choose Gender.
I'll click Compute.
Now the split bar plot, shown,
splits the original responses
coded by gender.
Note the majority of those
who answered yes were female.
Most graphics in
StatCrunch are interactive.
This can be a very
powerful feature.
So for example, to
identify the females who
said college was worth it,
click and drag the mouse
to form a rectangle
which overlaps that bar.
The selected data values are
now highlighted in the graph,
and also highlighted in
any other graphs produced.
The corresponding rows are also
highlighted in the data table.
Clicking the Down or Up buttons
in the lower left hand corner
will scroll the data
table to show the next
or previous selected rows.
This is especially
useful when there
is a small number of
rows that have been
selected in a large data table.
Adjacent to these two Arrow
buttons, the value of 582 rows
indicates how many rows
have been selected.
To turn off highlighting,
I'll click the Clear button
in the lower left hand
corner of the screen.
Both tabular and
graphical results
can be saved to your My Results
listing at StatCrunch.com,
or they can be copied,
printed, or downloaded.
To copy this bar plot,
under the Options menu,
I can choose Copy.
To finish copying
the image, follow
the tip provided for
your platform as shown.
After the image
is copied, it can
be pasted into any other
application such as Microsoft
Word or PowerPoint.
Saving, printing,
and downloading
are also available under the
Options menu of the bar plot
window.
Copying tabular results
is even simpler.
Go ahead and click in
the window of the table,
and just use standard
keys on that platform
to copy the selection.
Such as Control-C or Command-C.
Then use standard paste keys
and paste the results
into an application
such as Microsoft Word.