Select the best answer.8. The number of absences per year that a worker has is anexample of what type of data?a. Nominalb. Qualitativec. Discreted. Continuous9. What are the boundaries of 25.6 ounces?a. 25–26 ouncesb. 25.55–25.65 ouncesC.25.5–25.7 ouncesd. 20–39 ounces10. A researcher divided subjects into two groups accordingto gender and then selected members from each groupfor her sample. What sampling method was theresearcher using?a. Clusterb. Randomc. Systematicd. Stratified

8. A discrete random variable is a variable that takes only a finite number of distinct values. A…

Select the best answer. 8. The number of absences per year that a worker has is ar example of what type of data? a. Nominal b. Qualitative C. Discrete d. Continuous 9. What are the boundaries of 25.6 ounces?

Select the best answer. 8. The number of absences per year that a worker has is ar example of what type of data? a. Nominal b. Qualitative C. Discrete d. Continuous 9. What are the boundaries of 25.6 ounces?

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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This data was collected from the members of our class. I have tried to remove anything that would identify an individual. 1. What is the scale of each variable? 2. Construct a frequency table and chart showing the distribution across gender in this class. 3. Construct a cross tabulation with Gender in one direction and Height in the other direction. Group the height category into 5 groups. 4. Is there a difference in the age distribution across gender? 5. Give a summary of our class based on this data about our class. Gender Height Year Born Male 76 1994 Male 72 1983 Female 65 1997 Male 68 1966 Female 67 1997 Male 70 1996 Male 71 1996 Male 73 1996 Male 72 1995 Male 71 1998 Male 73 1993 Female 66 1980 Female 62 1998 Male 76 1984 Female 70 1985 Female 62 1992 Female 62 1992 Male 73 1996 Female 68 1987 Male 60 1971 Female 60 1971 Male 60 1971 Male 74 1970 Male 77 1998 Male 77 1998 Male 68 1990 Female 64 1996 Male 80 1997 Male…
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