Do Stemplots show symmetry gaps clusters and outliers?
Stemplots are equally useful for small and very large data sets. Stemplots can show symmetry, gaps, clusters, and outliers.
Can Stemplots show outliers?
Stemplots are equally useful for small and very large data sets. C) Stemplots can show symmetry, gaps, clusters, and outliers.
What are Stemplots used for?
What is a Stemplot? A stemplot is similar to a histogram—it is a tool to help you visualize the shape of a distribution. They have been a common tool for displaying data since the 1970s. With a regular stemplot, there is one “stem” to the left (shaded in gray) and one “leaf” to the right.
Are Stemplots good for large and small data sets?
Stemplots are equally useful for small and very large data sets. C. Stemplots can show symmetry, gaps, clusters, and outliers.
When a set of data has suspected outliers Which of the following are preferred?
When a set of data has suspect outliers, which of the following are preferred measures of central tendency and of variability? Explanation: (E) The mean, standard deviation, variance, and range are all affected by outliers; the median and interquartile range are not.
Do relative areas correspond to relative frequencies?
Relative areas correspond to relative frequencies (ie. if 10% of the area for a histogram is between 25-26, that means that 10% of the data falls between 25 and 26.
When should I use a Stemplot?
Stemplots show a little more information than a histogram and have been a common tool for displaying data sets since the 1970s. They are typically used when there is a medium amount of quantitative variables to analyze; Stemplots of more than 50 observations are unusual.
Why do we split stems in a Stemplot?
Splitting the stems. The organization of this stem and leaf plot does not give much information about the data. With only one stem, the leaves are overcrowded. If the leaves become too crowded, then it might be useful to split each stem into two or more components.
When would a Stemplot be useful?
When a set of data has suspected outliers Which of the following is the preferred measure of central tendency group of answer choices?
When a data set has suspected outliers Which of the following are preferred measures of central tendency Center and of variability spread )? *?
median
For distributions that have outliers or are skewed, the median is often the preferred measure of central tendency because the median is more resistant to outliers than the mean.
What’s the difference between frequency and relative frequency?
A frequency is the number of times a value of the data occurs. A relative frequency is the ratio (fraction or proportion) of the number of times a value of the data occurs in the set of all outcomes to the total number of outcomes.
