8 Points

For #1-#4 you will be analyzing the Speeding Experiment dataset on the ISLE platform. Recall from the lecture that the purpose of the experiment was to examine the impact of legal penalties and safety consideration on speeding behavior. Participants were randomly assigned to view a video from the driver’s perspective of vehicle traveling at either 76 mph (127 kph), 82 mph (137 kph) or 86 mph (143 kph) on an Interstate highway with a 70 mph (117 kph) speed limit. In the dataset the speed condition assignment is recorded in the variable “speed_cond”. After viewing the video they were asked: “Now, thinking about the video above, if you were actually driving in these conditions, what is the percent chance you would drive at the same speed or higher as the car in the video?” The response is recorded in the variable “intent_speed”.

Q1.1

2 Points

Here you being asked to state a hypothesis before actually analyzing the data. Do you predict the assigned speed condition will affect intent to speed? If no, why? If yes, how? Answer in 2 to 3 sentences.

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Q1.2

side-by-side box plots comparing the intent to speed variable for the three randomly assigned speed conditions—76 mph, 82 mph, and 86 mph.

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Q1.3

1 Point

What is the median value of the risk_pullover variable for 76 mph speed? Note that the risk_pullover variable refers to a probability with a range of 0-100% (for your answer enter either a fraction, e.g., “0.4” or a percentage, including “%” symbol, e.g., “40%”)

For 82 mph speed?

For 86 mph speed?

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Q1.4

1 Point

What is the 75th percentile value of the risk_pullover variable for each speed condition? Note that the risk_pullover variable refers to a probability with a range of 0-100% (for your answer enter either a fraction, e.g., “0.4” or a percentage, including “%” symbol, e.g., “40%”)

For 76 mph:

For 82 mph:

For 86 mph:

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Q1.5

2 Points

box plots conform with your expectations as described in part 1? Answer in 1 or 2 sentences.

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Q2

2 Points

The speeding experiment data set includes a variable “age” which measures participant’s self-reported age. What are the mean and median ages of study participants? Based on these two summary statistics does there appear to be skew in the age of participants? If yes, is it right or left AND how pronounced?

Q3

2 Points

histogram of the age of study participants and paste it into your assignment. Does the shape of the histogram conform with your skew assessment? In one or two sentences explain why.

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