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RUNNING HEAD: DESCRIPTIVE STATISTICS FOR ANXIETY SCORES

PSY-520 Graduate Statistics

Topic 1 – Descriptive Statistics Project

1

PSY-520 Graduate Statistics

Topic 1 – Descriptive Statistics Project

1

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Descriptive Statistics for Anxiety Scores

1. Using visual binning option in SPSS, the anxiety scores of the 30 students has been

clustered in 6 classes. Initial cut point was considered at 50, and total 6 cut points

have been used for framing the categorical variable “classes” for the anxiety scores.

Width of every class was selected to be 10. The frequency distribution of anxiety

scores has been presented in Table 1 with 6 classes and corresponding frequency,

relative percentage, and cumulative percentage (Meyers, Gamst, & Guarino, 2013).

Table 1: Frequency Distribution of Anxiety Scores of the students

Class Frequency Relative Percentage Cumulative Percentage

40-50 4 13.3 13.3

50-60 5 16.7 30.0

60-70 7 23.3 53.3

70-80 3 10.0 63.3

80-90 7 23.3 86.7

90-100 4 13.3 100.0

Figure 1 represents the frequency histogram with the categorical variable generated in SPSS.

The “classes” variable was created with 6 levels for the anxiety scores of 30 students.

Figure 1: Histogram using the frequency table with categorical values of classes

1. Using visual binning option in SPSS, the anxiety scores of the 30 students has been

clustered in 6 classes. Initial cut point was considered at 50, and total 6 cut points

have been used for framing the categorical variable “classes” for the anxiety scores.

Width of every class was selected to be 10. The frequency distribution of anxiety

scores has been presented in Table 1 with 6 classes and corresponding frequency,

relative percentage, and cumulative percentage (Meyers, Gamst, & Guarino, 2013).

Table 1: Frequency Distribution of Anxiety Scores of the students

Class Frequency Relative Percentage Cumulative Percentage

40-50 4 13.3 13.3

50-60 5 16.7 30.0

60-70 7 23.3 53.3

70-80 3 10.0 63.3

80-90 7 23.3 86.7

90-100 4 13.3 100.0

Figure 1 represents the frequency histogram with the categorical variable generated in SPSS.

The “classes” variable was created with 6 levels for the anxiety scores of 30 students.

Figure 1: Histogram using the frequency table with categorical values of classes

Descriptive Statistics for Anxiety Scores

2. Using the frequency table (Table 1) created in problem 1, the corresponding

histogram has been constructed in SPSS. Figure 2 represents the frequency histogram

with frequency labels in each bar.

Figure 2: Histogram of Anxiety Scores using classes with frequency

Using SPSS, descriptive statistics of the anxiety scores has been calculated. Mean

anxiety score is noted to be 71.23 with a standard deviation of 17.58. The variance of

anxiety scores is calculated as 309.15. The geometrical mean or the median is

calculated to be 70. The median is noted to be slightly less than the mean of anxiety

scores. Hence, the distribution of anxiety scores is identified as right-skewed.

Table 2: Descriptive Statistics for Anxiety Scores of Students

71.23

70.00

17.58

309.15

Mean

Median

Std. Deviation

Variance

Anxiety_Score

2. Using the frequency table (Table 1) created in problem 1, the corresponding

histogram has been constructed in SPSS. Figure 2 represents the frequency histogram

with frequency labels in each bar.

Figure 2: Histogram of Anxiety Scores using classes with frequency

Using SPSS, descriptive statistics of the anxiety scores has been calculated. Mean

anxiety score is noted to be 71.23 with a standard deviation of 17.58. The variance of

anxiety scores is calculated as 309.15. The geometrical mean or the median is

calculated to be 70. The median is noted to be slightly less than the mean of anxiety

scores. Hence, the distribution of anxiety scores is identified as right-skewed.

Table 2: Descriptive Statistics for Anxiety Scores of Students

71.23

70.00

17.58

309.15

Mean

Median

Std. Deviation

Variance

Anxiety_Score

Descriptive Statistics for Anxiety Scores

References

Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Performing Data Analysis Using IBM

SPSS. John Wiley & Sons. Retrieved from http://books.google.com

References

Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Performing Data Analysis Using IBM

SPSS. John Wiley & Sons. Retrieved from http://books.google.com

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