Examples of Statistics in Text:  (from Plonsky's site, version 5.01)


An examination of the number of hours of television viewing and the frequency of aggressive acts for each of the 60 children revealed a positive or direct correlation between television viewing and instances of aggressive behavior. An analysis using Pearson's correlation coefficient supported this observation, r(58) = .63, p < .001.

The control group (M = 14.1) remembered more words on the memory test than the drugged group (M = 12.3).  This difference was tested using an independent groups t test, and was shown to be nonsignificant, t(18) = 1.23, p = .283. Thus, the data fail to support the notion of a drug effect on memory.

The mean scores for the short, medium, and long retention intervals were 5.9, 10.3, and 14.2, respectively.  A one way analysis of variance revealed a significant effect of retention interval, F(2, 34) = 123.07, p < .001.
Chi Square:

While 60% of the males agreed that their map reading skills were strong, only 35% of the females did.  A 2 x 2 Chi Square analysis revealed that this was a significant difference, x2 (1, N = 119) = 10.51, p = .0012, suggesting that there was a relationship between gender and confidence in map reading skills.

Example of a simple table: 

Table 1
Average exam scores by gender

Gender        Mean        SD        N        t   
Male            68.9        13.4        15        2.33*

Female        77.7          5.8        15
Total           73.3           9.6       30

*p=.0275, 2-tailed unpaired t-test.

 Example of a simple figure:

Figure 1:  Jupiter's moons