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SOC 497 Statistics

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Instructions You will be using the data file hw5.sav to examine variation in respondents’ satisfaction with four areas of their lives (family, friends, finance, and job). You will then create a summary measure of overall satisfaction, and will explore how (and whether) that summary measure varies in two ways: across educational levels and with frequency of sexual activity. Finally, you will briefly explore interactions among these possible influences on satisfaction. (Note that most of the recoding has been done for you - this is not always the case.) Requirements & Questions You must submit output (complete but cleaned) and are encouraged to submit typed answers to the questions. 1. Univariate analyses of component and independent variables: ? Perform a univariate analysis of SATFAM, SATFIN, SATJOB, and SATFRND – For each, you should look at and briefly summarize the frequency distribution, as well as basic summary statistics for central tendency and dispersion. Go beyond just reporting the data and say something interesting (here and below). For example, about which issues are the respondents the most/least happy? ? Look briefly at the distributions of EDUC and SEXFREQ. (Note, in particular, the percent of the sample who refused to answer or otherwise did not have an answer for SEXFREQ.) 2. Construct and assess index: ? Construct an index (including variable labels and value labels, at least for the extremes), called HAPPY, as the summation of values for the four components listed above. ? Perform a univariate analysis of HAPPY – look at and briefly summarize the frequency distribution, as well as basic summary statistics for central tendency and dispersion.. ? What is this variable conceptually? What does it measure, and what does it mean? What does it tell us that the individual components do not? ? Interpret the “alpha” for your index – is the index reliable? is it a good one? why or why not? 3. Bivariate analyses – what makes people happy? ? Using correlations and chi-square, what can you say about the relationship between educational attainment and overall satisfaction (i.e. between HAPPY and EDUC)? (You will need to request a crosstab to get chisquare, but ignore the table itself, for now.) Is it strong? statistically significant? ? Using correlations and chi-square, what can you say about the relationship between frequency of sexual activity and overall satisfaction (i.e. between HAPPY and SEXFREQ)? (You will need to request a crosstab to get chisquare, but ignore the table itself, for now.) Is it strong? statistically significant? 4. Discussion/conclusions ? What can you infer from these findings about what makes people happy? (Hint: Did either of the two independent variables (EDUC and SEXFREQ) have a statistically significant effect on the dependent variable (HAPPY)?) ? Bonus: Put that at a conceptual level, thinking about what broader concepts these variables might operationalize. Of what larger concept might education be a specific instance, indicator, or aspect? What about sexual frequency

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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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MIS171 Business Analytics

Instruction  A shiny web app. has been built to forecast monthly data using different methodologies. The application allows you to divide the data set between train and test set, so you can evaluate the performance of the models. You can use the error metrics provided to evaluate the perform ...

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FPL4025 N Food Chemistry Composition and Analysis

Task: Abstract Maximum 300 works, should summarise the whole document with why the work needs to be done, how it can be done, what was the result, what the results mean. Avoid use citations in abstract Introduction Introduction should be around 800-1000 words, not including table and figures ...

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Suitable Visualisation

Cereal Name Manufacturer Type Calories Protein (g) Fat (g) Sodium (mg) Maypo A H 100 4 1 0 Apple_Cinnamon_Cheerios G C 110 2 2 180 Basic_4 G C 130 3 2 210 Cheerios G C 110 6 2 290 Cinnamon_Toast_Crunch G C 120 1 3 210 Clusters G C 110 3 2 140 Cocoa_Puffs G C 110 1 1 180 Count_Chocula G C ...

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Management

The FINAL research proposal will consist of the following 1.    A business research topic. (a topic should be an investigation into marriages in western countries(Australia) and in India. Why there is more divorce rate in western countries than India. )2.    A brief lit ...

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