The store that has a greater variety of numbers of wristbands sold is the store whose box plot has a greater IQR value.
<h3>How do we Determine Variability in a Box Plot?</h3>
- Variability of a data distribution that is represented by a box plot can be determined by the interquartile range (IQR) = Upper Quartile (Q3) - Lower Quartile (Q1).
- See the diagram attached below to understand how to get the Q3 and Q1 of the data distribution.
In conclusion, variability is a measure of IQR. The greater the IQR of a box plot, the greater the variety. Thus, the store that has a greater variety of numbers of wristbands sold is the store whose box plot has a greater IQR value.
Learn more about variability on:
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Las motocicletas tienen dos ruedas. (Sorry I didn't know what the question was)
Answer:
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The given statement about the correlation between two variables is; False
<h3>Pearson's correlation coefficient </h3>
Pearson's correlation coefficient is the measure of linear correlation between two sets of data.
Pearson's r is always between the values of -1 and +1.
In that range, -1 denotes a perfect negative while +1 denotes a perfect positive relationship and 0 denotes the perfect absence of a relationship.
Finally, Pearson's r is symmetric and as such the correlation between two variables x and y must be the same as the correlation between y and x.
Thus, if the correlation between x and y is 0.8, then the correlation between y and x must be also 0.8 and not -0.8 as the question states.
Read more about Pearson's correlation coefficient at; brainly.com/question/4117612
