| I. The following data set is an example
of time-series data, as contrasted with crosssectional data. Enter
the data into SPSS for Windows. To do this, open SPSS for Windows.
On the screen, you will see the "Newdata" file. To enter data, double
click on "var." Name the variable. Then, go to "Type..." For
y, m, and v, you will need to change the decimal setting to match the data.
Then, enter the data.
t: time trend
t y
m p u
v
(1) Provide descriptive statistics for m, p, u, and v. To do this, select Statistics. Then, select Summarize. Then, select Descriptives. Choose the descriptive statistics that are appropriate and print the output. (2) Graph the variables m, p,
u, and v over time. Select Graphs and then Sequence. Make four
different graphs, one for each variable, using y (year of presidential
election) for the time axis. Print these graphs.
II. <chapter 4, especially
4-3, will be helpful in answering this question>
If we use '1' to represent the occurrence
of a change of party control and '0' for no change, the "event data" from
1828 to 1988 is the following series:
(1) Based on the data provided, what would be a reasonable estimate of p? (2) A random variable, S, is defined as the number of changes of party control (i.e., the number of 1's) in a four (4) election period. What theoretical distribution does S follow? Write down the formula for the distribution. (3) A second random variable, D, is defined as the "duration" of party control, i.e., the number of consecutive terms a party (whether it is the Democrats or the Republicans) is in control. Compute the theoretical probabilities Pr(D) for D=1, 2, 3, 4, 5, and 6+ (i.e., a duration of six terms or more). (4) As you can check from the data
provided, since 1829 there have been 18 changes in party control of the
presidency. Write down the durations of all the 18 observed controls and
present them in the form of a frequency distribution using absolute frequencies.
Also, compute the theoretical (or expected) absolute frequency distribution
on the basis of your results from (3). Compare the empirical distribution
with the theoretical distribution. Do you think the theoretical distribution
fits the empirical distribution well?
III. Sampling Distribution (1) Consider the respondents of the 1984 Gallup Survey who voted for either Reagan or Mondale as a "population." Compute the proportion of the population who voted for Reagan. Note that you need to use the following SPSS command to select cases to be included in the "active file." As you should find out after running this job, the population has a size of N=1085. In the data set, variable 4 (v004) is the Presidential vote choice variable, with 1=Reagan and 2=Mondale. SYNTAX:
Running these two lines will provide the information needed for III (1). (2) Draw 25 random samples of size N=12 from this population. For each sample, compute the number of respondents who voted for Reagan. In doing this, you need to repeat the following block of commands 25 times. (To avoid typing, you can select Edit, Copy, and then Paste the three lines of syntax 24 times.) Remember that these three lines need to follow the syntax line which tells SPSS to select only the respondents who voted for either Reagan or Mondale. SYNTAX:
(3) Provide the frequency distribution of the 25 numbers you get in (2). (This may be done by hand.) (4) What's the theoretical distribution
of the random variable S = the number of respondents who voted for Reagan
in a sample of 12? Compare your empirical distribution in (3) with
this theoretical distribution.
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