Lab
1: Using SPSS, Graphing, Basic Descriptive Statistics, z-scores

TURN
IN:

- A word
document containing answers to the questions below. Your answers must be numbered and written
up in complete sentences. Any
tables and or figures that you include must be made yourself and properly
formatted according to the document on formatting tables and graphs posted
on Blackboard. Simply copying and
pasting SPSS output will not suffice.
~ 100 points

Part I: Entering and analyzing a small data set (30 points)

Radial
Growth (RGR) of Lichen R. geographicum in 17 Successive 3-month periods in
North Whales in Relation to Eight climatic variables

RGR |
Temp_max |
Air Frosts |
Rain Days |
Rainfall |
Temp_min |
Ground Frosts |
Sunshine hours |
Wind Speed |
Season |

0.04 |
7.6 |
8 |
59 |
207.7 |
6.2 |
16 |
609 |
8.6 |
1 |

0.58 |
20.1 |
0 |
38 |
306 |
11.6 |
0 |
237.3 |
8.1 |
2 |

0.15 |
10.6 |
3 |
47 |
317.7 |
5.5 |
33 |
181.9 |
10.7 |
3 |

0.18 |
11.6 |
17 |
51 |
194.5 |
1.9 |
49 |
171.6 |
11.8 |
4 |

0.07 |
8.3 |
8 |
24 |
97.8 |
6.1 |
33 |
619 |
8.1 |
1 |

0.37 |
19.6 |
0 |
41 |
287.4 |
11.4 |
1 |
287.4 |
8.7 |
2 |

0.33 |
19.4 |
3 |
68 |
457.7 |
6 |
25 |
186.9 |
9.3 |
3 |

0.17 |
6.8 |
43 |
44 |
175.8 |
0.26 |
57 |
276.8 |
8.7 |
4 |

0.10 |
13.9 |
2 |
48 |
295.6 |
6.9 |
19 |
488.5 |
10 |
1 |

0.29 |
17.9 |
0 |
63 |
328 |
12 |
0 |
318.4 |
10 |
2 |

0.16 |
10.6 |
17 |
52 |
318.8 |
4.2 |
41 |
200.6 |
8.7 |
3 |

0.35 |
19.8 |
34 |
49 |
233.4 |
0.87 |
52 |
217.4 |
8.4 |
4 |

0.18 |
14.5 |
2 |
48 |
197.8 |
7 |
16 |
521.2 |
8.5 |
1 |

0.14 |
18 |
0 |
42 |
231.1 |
11.3 |
3 |
495.5 |
7.5 |
2 |

0.22 |
10.9 |
13 |
57 |
463.9 |
5 |
26 |
223 |
8.6 |
3 |

0.20 |
8.9 |
8 |
72 |
349.8 |
4 |
17 |
199.2 |
12.4 |
4 |

0.34 |
17.9 |
2 |
31 |
140.3 |
7.2 |
20 |
220.3 |
6.7 |
1 |

- Enter the data into SPSS:

Give each of the variables a label and set the type of variable in
the variable view window. Set the
decimal places to the correct place. For
the season variable create labels such that 1 = spring, 2 = summer, 3 = fall,
and 4 = winter. (Hint: You should be able to copy and paste columns of data into SPSS,
remember to exclude the variable names when copying.)

2. Create a
variable that indicates which observations fall above the mean RGR and which
ones fall below it. Do the same for
Rainfall. Be sure to give your new
variables names, labels, value labels, and set the level of measurement. (10 pts)

(Hint: In SPSS use Transform
à Recode into Different Variables).

- Use the data to answer the following
questions:

a. What are the counts and
percent of the categorical variables? (5 pts)

b. Based on Season and the
new rainfall variable during what season does it rain more?

Explain the basis for
your choice (3 pts).

c. Create a bar graph which
depicts RGR by season. Add a title to
the graph, copy the

graph and paste it into
the document (5 pts). There are a few ways you can answer

this question. You only need to include 1 figure.

d. Create a histogram of RGR overall and another histogram paneled
by the new rainfall variable. Add a
title to the graphs, copy the graphs and paste them into the document (5 pts).

4. Paste a
screen shot of the variable view into the document. (2 pts)

Part II: Computing and comparing descriptive statistics (25
points)

Using
the Calcium.sav
data set available on Blackboard, answer the following questions:

- Compute descriptive statistics for Alkaline
Phosphatase, Calcium, and Inorganic Phosphorus.

a.
Compare the mean, median, and mode in words for each
variable. What does this tell us about
the possible skew of the data? (5pts)

b.
Create a histogram for calcium paneled in rows by gender and a
boxplot for Alkaline Phosphatase by gender. Edit each graph to have an appropriate
title and labels, paste the graphs into this document. (5pts)

6. Compare characteristics
between Males and females in the Calcium data set and fill in the frequency
table below. For continuous variables put the mean and standard deviation. For
categorical put the percent in each category. Hint: Use crosstabs for
categorical variables and compare means for continuous variables. Then write a
paragraph describing the differences between the men and women in this sample
based on your analysis. (15 pts)

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