) The following data represents ages of Los Angeles city residents issued speeding tickets in 2017 between the hours of 3 p.m. and 5 p.m.. 17 30 45 20 39 21 28 19 24 21 34 38 39 29 20 20 22 44 36 16 16 20 23 26 32 25 28 22 22 26 43 20 Based on what you learned in the first and second module, what type of data are you working with for this study? Is it Discrete vs. Continuous? What Scale of Measurement applies? Provide a narrative description of the output in order to explain and interpret the data accordingly. Be sure to provide a detailed analysis applying all relevant key terms and concepts that have been addressed in the course thus far. Provide terms and definitions where appropriate. Additionally explain your choices in terms of which graph you selected and which measures you report. All analyses should include the following components: Explain your choices in terms of which graph you selected and why. Thoroughly analyze the distribution of the data set. Analyze the shape of the distribution. Is it skewed? Is it a normal distribution? Is it symmetrical? Are there outliers? Is there anything else about the shape of the distribution that is important to address based on the specific data and research question? Analyze and explain your Descriptive Statistics. Based on the type of data, and the distribution of the data set, what measures of central tendency are appropriate to report and why? What measures of variability do your report and why? Finally, consider what conclusions can be drawn as a researcher to address the original questions. What specific and broader advice might you offer to the researcher based on the original intent of the study and original research question?

) The following data represents ages of Los Angeles city residents issued speeding tickets in 2017 between the hours of 3 p.m. and 5 p.m.. 17 30 45 20 39 21 28 19 24 21 34 38 39 29 20 20 22 44 36 16 16 20 23 26 32 25 28 22 22 26 43 20 Based on what you learned in the first and second module, what type of data are you working with for this study? Is it Discrete vs. Continuous? What Scale of Measurement applies? Provide a narrative description of the output in order to explain and interpret the data accordingly. Be sure to provide a detailed analysis applying all relevant key terms and concepts that have been addressed in the course thus far. Provide terms and definitions where appropriate. Additionally explain your choices in terms of which graph you selected and which measures you report. All analyses should include the following components: Explain your choices in terms of which graph you selected and why. Thoroughly analyze the distribution of the data set. Analyze the shape of the distribution. Is it skewed? Is it a normal distribution? Is it symmetrical? Are there outliers? Is there anything else about the shape of the distribution that is important to address based on the specific data and research question? Analyze and explain your Descriptive Statistics. Based on the type of data, and the distribution of the data set, what measures of central tendency are appropriate to report and why? What measures of variability do your report and why? Finally, consider what conclusions can be drawn as a researcher to address the original questions. What specific and broader advice might you offer to the researcher based on the original intent of the study and original research question?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

) The following data represents ages of Los Angeles city residents issued speeding tickets in 2017 between the hours of 3 p.m. and 5 p.m..

17 30 45 20 39 21 28 19

24 21 34 38 39 29 20 20

22 44 36 16 16 20 23 26

32 25 28 22 22 26 43 20

Based on what you learned in the first and second module, what type of data are you working with for this study? Is it Discrete vs. Continuous? What Scale of Measurement applies?
Provide a narrative description of the output in order to explain and interpret the data accordingly. Be sure to provide a detailed analysis applying all relevant key terms and concepts that have been addressed in the course thus far. Provide terms and definitions where appropriate. Additionally explain your choices in terms of which graph you selected and which measures you report. All analyses should include the following components:
1. Explain your choices in terms of which graph you selected and why.
2. Thoroughly analyze the distribution of the data set. Analyze the shape of the distribution. Is it skewed? Is it a normal distribution? Is it symmetrical? Are there outliers? Is there anything else about the shape of the distribution that is important to address based on the specific data and research question?
3. Analyze and explain your Descriptive Statistics. Based on the type of data, and the distribution of the data set, what measures of central tendency are appropriate to report and why? What measures of variability do your report and why?
4. Finally, consider what conclusions can be drawn as a researcher to address the original questions. What specific and broader advice might you offer to the researcher based on the original intent of the study and original research question?

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