(SPSS 통계 프로그램) 기술통계 / SPSS 24 배우기/무작정 따라하기

Lab 3: Descriptive Statistics

Complete the following tasks using SPSS. Print out the outputs and submit in print. For questions you need to answer, write down the answers on the printed outputs by the table or graph.

Problem Set 1

Download the dataset “heights.sav”.

1. Follow the directions below to create value labels for variable gender: 0 = male, 1 = female.

   Variable ViewàValuesàFor each different value, enter the value and label and then click Add, after all pairs are defined, click OK.

2. Follow the directions below to create a frequency table for gender. How many males and females are there in the sample and what are the corresponding proportions?

   AnalyzeàDescriptive StatisticsàFrequenciesàVariable(s): GENDERà Make sure below the boxes “Display frequency tables” is checkedàOK.

3. Follow the directions below to select all of the male cases.

   DataàSelect CasesàIf condition is satisfiedàIf...àSelect GENDER into the box on topàclick “=” and then click “0”àContinueàOK

4. Follow the directions below to find the following for the height of males in the dataset: mean, standard deviation, variance, max, min, range. What is the relationship between standard deviation and variance?

   AnalyzeàDescriptive StatisticsàDescriptivesàVariable(s): HEIGHTà Options...àCheck all items required aboveàContinueàOK.

5. Create a histogram for the heights of males. Describe the shape of the distribution.

6. Select all cases. Then follow the directions below to create a boxplot graph to compare the distribution of heights for the two gender.

   GraphsàLegacy DialogsàBoxplotàChoose Simple and Summaries for groups of cases à Variable: HEIGHT; Category Axis: GENDER à OK.

7.  Follow the directions below to explore the dataset. Produce the following output for height for each gender: means, medians, standard deviations, min, max, range, quartiles (Q1, Q2, Q3), interquartile range, extreme values, boxplots, stem-and-leaf plots, and histograms. Interpret the results.

   AnalyzeàDescriptive StatisticsàExploreàDependent List: HEIGHT; Factor List: GENDERàPlay with the specification dialogue boxes to get all items required aboveàOK. 

heights.sav

Lab3_DescriptiveStatistics.pdf