TI-92 Help -- Data, Lists, and Sequences

Click here to obtain the program worldpop and launch the TI-92 Graph Link program. Then download this program in the usual way.

There have been numerous problems downloading programs for TI graphing calculators using the method above. If that method works, it is very clean. Sometimes, however, it doesn't work. In that case we can fall back on an older method, uuencoding, that is less user-friendly but more reliable. Click here for more information about this method. Then click here for a uuencoded (text file).

Run the same program by typing worldpop() and then pressing ENTER in the home screen. This program defines two lists of data that we will use as examples in this module.

The list year that lists the years 1950...1995 for which the midyear world population is given in the second list.
The list pop that contains midyear population figures for each of the years in the list year.

The screen at the right shows part of the contents of the two lists you've just loaded into your TI-92. In this help module we look at how data like this can be analyzed using the table and sequence graphing capabilities of the TI-92. Begin by setting the GRAPHING MODE to SEQUENCE as described in the help module on Graphing one or more sequences. MIssing TI-92 screen

The screen at the right shows how the Y= screen should be set up to graph the population data. The first line
u1=pop[n]
makes sense. It says that the n-th entry in the sequence is the n-th piece of data. The second line is needed only because this TI-92 screen is designed primarily for studying discrete dynamical systems and we are using it in a somewhat different way. The entry in the command line is redundant. It says
ui1=pop[1]
because the first term in this sequence is the first piece of population data. Notice that when you press ENTER after typing this line the actual world population in 1950 appears above. MIssing TI-92 screen

The screen at the right shows the WINDOW screen for this data.

The screen at the right shows a graph of this data.

We can do much better than just this raw data. The screen at the right shows how the Y= screen can be set up to compute the percentage increase in the population from one year to the next. Notice that ui1 must be computed explicitly. MIssing TI-92 screen

Now we change the WINDOW screen as shown at the right.

Now press GRAPH to see the graph at the right. Notice that the population growth rate climbed at first, then dipped, and climbed again. By the end of this 46 year period it was roughly back at the same level as at the beginning. MIssing TI-92 screen

We can look at the same information numerically. Set up the TblSet window as shown at the right

and then press TABLE to see the screen at the right.

The screen at the right shows part of the contents of the two lists you've just loaded into your TI-92. In this help module we look at how data like this can be analyzed using the table and sequence graphing capabilities of the TI-92. Begin by setting the GRAPHING MODE to SEQUENCE as described in the help module on Graphing one or more sequences.
The screen at the right shows how the Y= screen should be set up to graph the population data. The first line u1=pop[n] makes sense. It says that the n-th entry in the sequence is the n-th piece of data. The second line is needed only because this TI-92 screen is designed primarily for studying discrete dynamical systems and we are using it in a somewhat different way. The entry in the command line is redundant. It says ui1=pop[1] because the first term in this sequence is the first piece of population data. Notice that when you press ENTER after typing this line the actual world population in 1950 appears above.
The screen at the right shows the WINDOW screen for this data.
The screen at the right shows a graph of this data.
We can do much better than just this raw data. The screen at the right shows how the Y= screen can be set up to compute the percentage increase in the population from one year to the next. Notice that ui1 must be computed explicitly.
Now we change the WINDOW screen as shown at the right.
Now press GRAPH to see the graph at the right. Notice that the population growth rate climbed at first, then dipped, and climbed again. By the end of this 46 year period it was roughly back at the same level as at the beginning.
We can look at the same information numerically. Set up the TblSet window as shown at the right
and then press TABLE to see the screen at the right.