Researchers at Arizona State University (McNabb & Gray, 2016) explored the effects on driving with various types of cell phone use. In particular, they were interested in comparing the effects between text-based media and picture- based media. They had their subjects use a driving simulator and requested that they stay two seconds behind the car in front of them. The car in front traveled between 55 and 65 mph and was programmed to come to a complete stop eight times during the simulation. One of the variables they measured was the reaction time for the subjects to brake when the car in front of them stopped. They measured this when the subjects were instructed to scroll through Facebook messages that consisted of just text. They also measured this when the subjects were instructed to scroll through Instagram pictures that did not contain any text. The order of the conditions was randomized. The results, in seconds, are in the file BrakeReactionTime. We want to decide whether there is a difference in the average braking reaction time when looking at text (Facebook) on your phone while driving and looking at pictures (Instagram) on your phone while driving. Put the data file BrakeReactionTime in the Matched Pairs applet and do at least 1,000 randomizations. (a) Using the 2SD method, determine an approximate 95% confidence interval for the mean difference in braking reaction time between looking at Facebook and Instagram (Facebook - Instagram).
Researchers at Arizona State University (McNabb & Gray, 2016) explored the effects on driving with various types of cell phone use. In particular, they were interested in comparing the effects between text-based media and picture- based media. They had their subjects use a driving simulator and requested that they stay two seconds behind the car in front of them. The car in front traveled between 55 and 65 mph and was programmed to come to a complete stop eight times during the simulation. One of the variables they measured was the reaction time for the subjects to brake when the car in front of them stopped. They measured this when the subjects were instructed to scroll through Facebook messages that consisted of just text. They also measured this when the subjects were instructed to scroll through Instagram pictures that did not contain any text. The order of the conditions was randomized. The results, in seconds, are in the file BrakeReactionTime. We want to decide whether there is a difference in the average braking reaction time when looking at text (Facebook) on your phone while driving and looking at pictures (Instagram) on your phone while driving. Put the data file BrakeReactionTime in the Matched Pairs applet and do at least 1,000 randomizations. (a) Using the 2SD method, determine an approximate 95% confidence interval for the mean difference in braking reaction time between looking at Facebook and Instagram (Facebook - Instagram).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Part A and B and data are in pictures uploaded
Transcribed Image Text:This table presents data comparing numerical values associated with Facebook and Instagram. The data is arranged in two columns, each representing one of the platforms.
**Facebook:**
- 1.25401
- 1.100017
- 1.020859
- 0.86421
- 0.793354
- 1.252108
- 0.855568
- 0.814002
- 1.932247
- 1.520868
- 0.956343
- 1.036147
- 1.311931
- 0.881274
- 1.075025
- 1.011208
- 1.066692
- 2.47226
**Instagram:**
- 0.962927
- 0.600018
- 0.9466
- 0.725775
- 0.816683
- 1.134345
- 0.861133
- 1.022243
- 0.733227
- 1.26431
- 0.873783
- 0.714603
- 0.890012
- 0.747237
- 0.626684
- 1.183359
- 0.83335
- 1.12057
This table can be used for educational purposes to analyze the comparative performance or metrics of these two social media platforms on various parameters.
![### Exploring the Effects of Cell Phone Use on Driving
Researchers at Arizona State University (McNabb & Gray, 2016) conducted a study examining the effects of different types of cell phone use on driving performance. The main focus was to compare the impact of text-based media versus picture-based media on drivers.
**Study Overview:**
Participants used a driving simulator setup where they were instructed to maintain a two-second distance behind a car. The simulator car traveled between 55-65 mph and would come to a complete stop at different times. Researchers measured the driver's reaction time to these stops under two conditions:
1. **Text Messages (Facebook):** Participants scrolled through Facebook text posts.
2. **Picture Posts (Instagram):** Participants scrolled through Instagram picture posts without text.
**Objective:**
The objective was to determine if there was a significant difference in average braking reaction time when using Facebook (text) versus Instagram (pictures) on a phone while driving.
**Data Collection and Analysis:**
The data was analyzed using the BrakeReactionTime dataset. A 95% confidence interval was calculated for the mean difference in braking reaction time between the two conditions (Facebook - Instagram) using the 2SD method.
**Analysis Steps:**
- Use the BrakeReactionTime data file and conduct at least 1,000 randomizations.
**Tasks:**
(a) Calculate an approximate 95% confidence interval for the mean difference in braking reaction time (Facebook - Instagram).
**Confidence Interval Input Boxes:**
- [ ]
- [ ]
(b) Determine if the confidence interval provides strong evidence of a difference in average braking reaction time between looking at text (Facebook) and pictures (Instagram).
**Conclusions:**
- If the entire interval is positive (does not contain 0), there is strong evidence that braking reaction time is higher for Facebook.
- Conversely, if the interval includes both negative and positive values (or contains 0), there is no strong evidence of a higher braking reaction time for Facebook compared to Instagram.
This study helps understand the cognitive impact of different types of cell phone content on driving safety, emphasizing the importance of minimizing distractions.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F51e5bd93-2fba-48ff-bc45-ddb57f441493%2F332f3c71-31c7-4562-af57-15d9f37ae79a%2Fk2gek1o_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Exploring the Effects of Cell Phone Use on Driving
Researchers at Arizona State University (McNabb & Gray, 2016) conducted a study examining the effects of different types of cell phone use on driving performance. The main focus was to compare the impact of text-based media versus picture-based media on drivers.
**Study Overview:**
Participants used a driving simulator setup where they were instructed to maintain a two-second distance behind a car. The simulator car traveled between 55-65 mph and would come to a complete stop at different times. Researchers measured the driver's reaction time to these stops under two conditions:
1. **Text Messages (Facebook):** Participants scrolled through Facebook text posts.
2. **Picture Posts (Instagram):** Participants scrolled through Instagram picture posts without text.
**Objective:**
The objective was to determine if there was a significant difference in average braking reaction time when using Facebook (text) versus Instagram (pictures) on a phone while driving.
**Data Collection and Analysis:**
The data was analyzed using the BrakeReactionTime dataset. A 95% confidence interval was calculated for the mean difference in braking reaction time between the two conditions (Facebook - Instagram) using the 2SD method.
**Analysis Steps:**
- Use the BrakeReactionTime data file and conduct at least 1,000 randomizations.
**Tasks:**
(a) Calculate an approximate 95% confidence interval for the mean difference in braking reaction time (Facebook - Instagram).
**Confidence Interval Input Boxes:**
- [ ]
- [ ]
(b) Determine if the confidence interval provides strong evidence of a difference in average braking reaction time between looking at text (Facebook) and pictures (Instagram).
**Conclusions:**
- If the entire interval is positive (does not contain 0), there is strong evidence that braking reaction time is higher for Facebook.
- Conversely, if the interval includes both negative and positive values (or contains 0), there is no strong evidence of a higher braking reaction time for Facebook compared to Instagram.
This study helps understand the cognitive impact of different types of cell phone content on driving safety, emphasizing the importance of minimizing distractions.
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