1、Table 2-1 (p. 35) Memory scores for a sample of 16 participants. The scores represent the number of sentences recalled from each category.,Figure 2-1 (p. 35) Hypothetical data showing the number of humorous sentences and the number of nonhumorous sentences recalled by participants in a memory experi
2、ment.,Table 2.2 (p. 41) A grouped frequency distribution table showing the data from Example 2.3. The original scores range from a high of X = 94 to a low of X = 53. This range has been divided into 9 intervals with each interval exactly 5 points wide. The frequency column (f) lists the number of in
3、dividuals with scores in each of the class intervals.,Figure 2-2a (p. 44) An example of a frequency distribution histogram. The same set of data is presented in a frequency distribution table and in a histogram.,Figure 2-2 (p. 44) An example of a frequency distribution histogram for grouped data. Th
4、e same set of data is presented in a grouped frequency distribution table and in a histogram.,Figure 2-3 (p. 45) A frequency distribution histogram showing the heights for a sample of n = 20 adults.,Figure 2-4 (p. 45) A frequency distribution in which each individual is represented by a block placed
5、 directly above the individuals score. For example, three people had scores of X = 2.,Figure 2-5 (p. 46) An example of a frequency distribution polygon. The same set of data is presented in a frequency distribution table and in a polygon. Note that these data are shown in a histogram in Figure 2.2(a
6、).,Figure 2-6 (p. 46) An example of a frequency distribution polygon for grouped data. The same set of data is presented in a grouped frequency distribution table and in a polygon. Note that these data are shown in a histogram in Figure 2.2(b).,Figure 2-7 (p. 47) A bar graph showing the distribution
7、 of personality types in a sample of college students. Because personality type is a discrete variable measured on a nominal scale, the graph is drawn with space between the bars.,Figure 2-8 (p. 48) A frequency distribution showing the relative frequency for two types of fish. Notice that the exact
8、number of fish is not reported; the graph simply says that there are twice as many bluegill as there are bass.,Figure 2-9 (p. 48) The population distribution of IQ scores: an example of a normal distribution.,Figure 2-11 (p. 50) Examples of different shapes for distributions.,Figure 2-12 (p. 51) Ans
9、wers to Learning Check Exercise 1.,Figure 2-13 (p. 53) The relationship between cumulative frequencies (cf values) and upper real limits. Notice that two people have scores of X = 1. These two individuals are located between the real limits of 0.5 and 1.5. Although their exact locations are not know
10、n, you can be certain that both had scores below the upper real limit of 1.5.,Figure 2-14 (p. 55) The graphic representation of the process of interpolation. The same interval is shown on two separate scales, temperature and time. Only the endpoints of the scales are known at 8:00, the temperature i
11、s 60, and at 12:00, the temperature is 68. Interpolation allows you to estimate values within the interval by assuming that fractional portions of one scale correspond to the same fractional portions of the other. For example, it is assumed that halfway through the temperature scale corresponds to h
12、alfway through the time scale.,Table 2.3 (p. 56) A set of N = 24 scores presented as raw data and organized in a stem and leaf display.,Figure 2-15 (p. 56) A grouped frequency distribution histogram and a stem and leaf display showing the distribution of scores from Table 2.3. The stem and leaf disp
13、lay is placed on its side to demonstrate that the display gives the same information provided in the histogram.,Table 2.4 (p. 57) A stem and leaf display with each stem split into two parts. Note that each stem value is listed twice: The first occurrence is associated with the lower leaf values (0-4), and the second occurrence is associated with the upper leaf values (5-9). The data shown in this display are taken from Table 2.3.,
