# statistics assignment

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Assignments 1 and 2 – Statistics This assignment concerns itself with univariate data analysis and differentiation testing. Thus, we will have to solve several problems that deal with differences between groups. Assignment – 1 Univariate Data Analysis, T-Test and Anova: Question: Is there a significant difference between the sexes when it comes to their age? USE: Age_2016, SEX_2016 Complete the following tasks: 1) Provide a univariate description (including TABLES and Charts!) of the two variables. Recode the age variable in groups for the tables (make a sensible choice about the groups). 2) Do a T-test and compare the means between men and women in the sample. 3) Explain the average age of both groups, their upper and lower bounds and describe why there is (no) statically significant difference between them. Q: Are there significant differences between the federal states of Austria and the reported mean income levels? Use: BLD_2016; Net_income_individual. Complete the following task: 1) Describe the variables on a univariate level in a sensible(!) way! You may use tables and recode the income variable if necessary. 2) Use a one-way anova to find out if there are statistically sig. differences. 3) Only report those that are significant! Assignment – 2: U-Test and H-Test Q: Do women value leisure time less then men? Compare the importance of leisure time between the sexes. Use a U-Test to do so! 1) Describe the variables on a univariate level in a sensible(!) way! You may use tables. 2) Use a U-Test to find out if there are statistically sig. differences. Use: SEX_2016; df76_4. Q: Does the martial status influence the value of leisure time? Compare the different marital status groups in regards to the importance of leisure time. 1) Describe the variables on a univariate level in a sensible(!) way! You may use tables. 2) Use a H-Test to find out if there are statistically sig. differences. Use: Cf38; df76_4.

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