In respect of primary and secondary data compare and contrast: 1) The main differences between primary and secondary data 2)The advantages and disadvantages of primary and secondary data
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In respect of primary and secondary data compare and contrast:
1) The main differences between primary and secondary data
2)The advantages and disadvantages of primary and secondary data
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- Which best describes the null hypothesis associated with an Analysis of Variance (ANOVA)? Group of answer choices a. Ho: Variance 1 = Variance 2 = Variance 3 b. Ho: Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho: Proportion 1 = Proportion 2 = Proportion 3 d. Ho: Median 1 = Median 2 = Median 3 e. Ho: Mean 1 = Mean 2 = Mean 3. What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?Identify and discuss the advantages and disadvantages of using existing data for secondary data analysis. Provide at least one example for each. In your opinion, do you think the advantages outweigh the disadvantages? Why or why not?
- Explain the 6 steps of the data analysis process using 'Example Monitoring Water Quality'.When researchers ask consumers to rank their preferences of different product combinations, they are using a survey-based multivariate technique known as what? Select one: a. ZMET techniques b. Multi-attribution model c. Residual analysis d. Conjoint analysisExplain the difference between secondary and primary data Explain the advantages and disadvantage of secondary and primary data Explain factors to consider to use primary or secondary data
- The researcher, before using secondary data, must see that they have certain characteristics. Explain these characteristics.Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation 1 2 3 4 5 6 7 y= X y 15 70 28 79 38 89 35 86 49 97 42 97 30 82 y = Observation 0.721 + 1890123 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) X 14 16 14 24 21 29 63.229 X y 82 70 68 84 83 91 b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)Explain why longitudinal studies and multiple regression analyses can help address the issues of temporal precedence and internal validity concerns that limit the conclusions we can make using bivariate correlations.