a) Describe the relationship between distance and travel time. Choose all answers that apply. O There is a somewhat weak, negative, possibly linear relationship between the distance traveled and travel time V There is a somewhat weak, positive, possibly linear relationship between the distance traveled and travel time O The clustering near the lower left corner is noteworthy O There is a moderate, positive, definite linear relationship between the distance traveled and travel time b) How would the relationship change if travel time was instead measured in hours, and distance was instead measured in kilometers? O The correlation coefficient between the two variables would be smaller O Changing the units will not change the form, direction or strength of the relationship between the two variables O The correlation coefficient between the two variables would be larger c) Correlation between travel time (in miles) and distance (in minutes) is r = 0.619. What is the correlation between travel time (in kilometers) and distance (in hours)? 0.619
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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