Previous research shows that students that take transfer level math and English within their first year of college are more likely to finish their degree. Data was collected from 40 students currently enrolled in a Behavioral Statistics course at ABC College, in order to assess at what point students take Behavioral Statistics within a program. The program hopes to determine if the department should be recommending Behavioral Statistics within their other courses to promote earlier completion and encourage students to complete their degrees with fewer units. The following data was collected where P represents the participant number for each student, and the classes column reflects how many courses they have successfully completed before taking Behavioral Statistics: Student (denoted Pn) Classes Student (denoted Pn) Classes P1 1 P21 3 P2 6 P22 3 P3 3 P23 2 P4 3 P24 7 P5 3 P25 6 P6 4 P26 4 P7 4 P27 4 P8 5 P28 1 P9 2 P29 5 P10 3 P30 3 P11 3 P31 3 P12 1 P32 4 P13 6 P33 5 P14 4 P34 4 P15 3 P35 7 P16 4 P36 4 P17 4 P37 3 P18 0 P38 2 P19 4 P39 3 P20 10 P40 4 a. 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? e. 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: i. Explain your choices in terms of which graph you selected and why. ii. 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? iii. 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? iv. 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? (Please note that you should approach this analysis like you would an essay test. Use key terms and concepts, and define them in your own words to demonstrate your understanding of the material. Be as detailed as possible to showcase your learning from the module.)

Previous research shows that students that take transfer level math and English within their first year of college are more likely to finish their degree. Data was collected from 40 students currently enrolled in a Behavioral Statistics course at ABC College, in order to assess at what point students take Behavioral Statistics within a program. The program hopes to determine if the department should be recommending Behavioral Statistics within their other courses to promote earlier completion and encourage students to complete their degrees with fewer units. The following data was collected where P represents the participant number for each student, and the classes column reflects how many courses they have successfully completed before taking Behavioral Statistics: Student (denoted Pn) Classes Student (denoted Pn) Classes P1 1 P21 3 P2 6 P22 3 P3 3 P23 2 P4 3 P24 7 P5 3 P25 6 P6 4 P26 4 P7 4 P27 4 P8 5 P28 1 P9 2 P29 5 P10 3 P30 3 P11 3 P31 3 P12 1 P32 4 P13 6 P33 5 P14 4 P34 4 P15 3 P35 7 P16 4 P36 4 P17 4 P37 3 P18 0 P38 2 P19 4 P39 3 P20 10 P40 4 a. 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? e. 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: i. Explain your choices in terms of which graph you selected and why. ii. 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? iii. 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? iv. 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? (Please note that you should approach this analysis like you would an essay test. Use key terms and concepts, and define them in your own words to demonstrate your understanding of the material. Be as detailed as possible to showcase your learning from the module.)

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 was collected where P represents the participant number for each student, and the classes column reflects how many courses they have successfully completed before taking Behavioral Statistics:

Student (denoted Pn) Classes Student (denoted Pn) Classes

P1 1 P21 3

P2 6 P22 3

P3 3 P23 2

P4 3 P24 7

P5 3 P25 6

P6 4 P26 4

P7 4 P27 4

P8 5 P28 1

P9 2 P29 5

P10 3 P30 3

P11 3 P31 3

P12 1 P32 4

P13 6 P33 5

P14 4 P34 4

P15 3 P35 7

P16 4 P36 4

P17 4 P37 3

P18 0 P38 2

P19 4 P39 3

P20 10 P40 4

a. 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? e. 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:

i. Explain your choices in terms of which graph you selected and why.

ii. 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?

iii. 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?

iv. 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?

(Please note that you should approach this analysis like you would an essay test. Use key terms and concepts, and define them in your own words to demonstrate your understanding of the material. Be as detailed as possible to showcase your learning from the module.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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