The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children was the length, (length), and width, (width), of their longest foot. Based on the scatterplot shown below, there appears to be a positive linear association between the length and width of a fourth grader's biggest foot that holds even when the child's sex is accounted for. One of the following lines of code created everything in the graph below, except for the title and the axis labels. Which one was it?? ( ) xyplot(length~width, groups=sex, data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet) ( ) xyplot(width~length|sex,data=KidsFeet) ( ) xyplot(width~length,groups=sex,data=KidsFeet, auto.key=TRUE) ( ) xyplot(length~width|sex, data=KidsFeet) ( ) xyplot(length~width, data=KidsFeet) ( ) xyplot(length~width, groups=sex, data=KidsFeet, auto.key=TRUE) ( ) xyplot(width~length, data=KidsFeet)
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.
KidsFeet Parallel Scatterplots by Sex
The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children was the length, (length), and width, (width), of their longest foot. Based on the scatterplot shown below, there appears to be a positive linear association between the length and width of a fourth grader's biggest foot that holds even when the child's sex is accounted for. One of the following lines of code created everything in the graph below, except for the title and the axis labels.
Which one was it??
( ) xyplot(length~width, groups=sex, data=KidsFeet)
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