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1. Estimate the number of those surveyed in Texas that you think would be interested in buying an Electric Car. State what this value is and enter it in for (a) for your work. Explain why you made this estimate (it is ok to guess). 2. Use the value you found in (a) to calculate the counts in (b), (c), and (d). Leave your answer as an unreduced fraction. Imagine we randomly select one individual represented in the table you made: 3. What is the probability the person is interested in buying an electric vehicle?

1. Estimate the number of those surveyed in Texas that you think would be interested in buying an Electric Car. State what this value is and enter it in for (a) for your work. Explain why you made this estimate (it is ok to guess). 2. Use the value you found in (a) to calculate the counts in (b), (c), and (d). Leave your answer as an unreduced fraction. Imagine we randomly select one individual represented in the table you made: 3. What is the probability the person is interested in buying an electric vehicle?

MATLAB: An Introduction with Applications
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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Please answer all of the questions in the picture please. Thank you!

People using a popular internet search engine to do research on buying a new car were randomly selected to answer a survey question on if they plan on buying an electric car in the next 5 years. The results for users in 3 states in included below: Table: Interest in Purchasing Electric Vehicle by State California New York Texas Interested Not Interested Total 84 189 273 76 213 289 (a) 224 (b) Total (c) 626 (d) 1. Estimate the number of those surveyed in Texas that you think would be interested in buying an Electric Car. State what this value is and enter it in for (a) for your work. Explain why you made this estimate (it is ok to guess). 2. Use the value you found in (a) to calculate the counts in (b), (c), and (d). Leave your answer as an unreduced fraction. Imagine we randomly select one individual represented in the table you made: 3. What is the probability the person is interested in buying an electric vehicle? 4. What is the probability the person is interested in buying an electric vehicle AND from Texas? 5. What is the probability the person is interested in buying an electric vehicle OR from Texas? 6. What is the PERCENT probability the person is interested in buying an electric vehicle given they are from Texas? 7. What is the PERCENT probability the person is interested in buying an electric vehicle given they are from California? 8. Who might be able to use these results to make decisions? What decision can they make with this information?
Transcribed Image Text:People using a popular internet search engine to do research on buying a new car were randomly selected to answer a survey question on if they plan on buying an electric car in the next 5 years. The results for users in 3 states in included below: Table: Interest in Purchasing Electric Vehicle by State California New York Texas Interested Not Interested Total 84 189 273 76 213 289 (a) 224 (b) Total (c) 626 (d) 1. Estimate the number of those surveyed in Texas that you think would be interested in buying an Electric Car. State what this value is and enter it in for (a) for your work. Explain why you made this estimate (it is ok to guess). 2. Use the value you found in (a) to calculate the counts in (b), (c), and (d). Leave your answer as an unreduced fraction. Imagine we randomly select one individual represented in the table you made: 3. What is the probability the person is interested in buying an electric vehicle? 4. What is the probability the person is interested in buying an electric vehicle AND from Texas? 5. What is the probability the person is interested in buying an electric vehicle OR from Texas? 6. What is the PERCENT probability the person is interested in buying an electric vehicle given they are from Texas? 7. What is the PERCENT probability the person is interested in buying an electric vehicle given they are from California? 8. Who might be able to use these results to make decisions? What decision can they make with this information?
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