Table of Contents

## What percent of the sophomores watch TV for at least 15 minutes per night?

n5% 10. What percent of the sophomores watch TV for at least 15 minutes per night? | 25% spend GO min.cz more on home work; 50% watch TV for 60 min or mne. For questions 12-18, identify if each statement is true, false, or cannot be determined.

## How do you find the percentage of a box and whisker plot?

1:55Suggested clip 99 secondsCalculating Box Plot Percentages – YouTubeYouTubeStart of suggested clipEnd of suggested clip

## How do you read a box and whisker plot?

Definitions. The median (middle quartile) marks the mid-point of the data and is shown by the line that divides the box into two parts. Half the scores are greater than or equal to this value and half are less. The middle box represents the middle 50% of scores for the group.

## What does a box plot tell you?

A boxplot is a standardized way of displaying the distribution of data based on a five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”). It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

## Why are box and whisker plots useful?

Box and whisker plots are ideal for comparing distributions because the centre, spread and overall range are immediately apparent. A box and whisker plot is a way of summarizing a set of data measured on an interval scale. the ends of the box are the upper and lower quartiles, so the box spans the interquartile range.

## Why is a box plot better than a histogram?

Histograms and box plots are very similar in that they both help to visualize and describe numeric data. Although histograms are better in determining the underlying distribution of the data, box plots allow you to compare multiple data sets better than histograms as they are less detailed and take up less space.

## Can a box plot have no whiskers?

A simpler formulation is this: no whisker will be visible if the lower quartile is equal to the minimum, or if the upper quartile is equal to the maximum. (There are other cases in which no whisker is visible.)

## What are outliers in box and whisker plots?

Box plots are useful as they show outliers within a data set. An outlier is an observation that is numerically distant from the rest of the data. When reviewing a box plot, an outlier is defined as a data point that is located outside the whiskers of the box plot.

## How do you identify outliers?

A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR 1.5\cdot \text{IQR} 1. 5⋅IQR1, point, 5, dot, start text, I, Q, R, end text above the third quartile or below the first quartile. Said differently, low outliers are below Q 1 − 1.5 ⋅ IQR \text{Q}_1-1.5\cdot\text{IQR} Q1−1.

## How do you calculate upper whiskers?

The length of the upper whisker is the largest value that is no greater than the third quartile plus 1.5 times the interquartile range. In this case, the third quartile plus 1.5 times IQR is 10 + 1.5*6 = 19. The largest value that is no greater than 19 is 13, so the upper whisker will reach to 13.

## What is the minimum in a box and whisker plot?

A box and whisker plot—also called a box plot—displays the five-number summary of a set of data. The five-number summary is the minimum, first quartile, median, third quartile, and maximum. In a box plot, we draw a box from the first quartile to the third quartile. A vertical line goes through the box at the median.

## How do you find the maximum and minimum of a box plot?

At the ends of the box, you” find the first quartile (the 25% mark) and the third quartile (the 75% mark). The far left of the chart (at the end of the left “whisker”) is the minimum (the smallest number in the set) and the far right is the maximum (the largest number in the set).

## Which box plot represents the data set from 2 to 12 the box and whiskers whisker range from 2 to 12 the box and whiskers the level to 4 3 10 10 box sets the box?

Answer: The answer would be A, or “A box-and-whisker plot. The number line goes from 0 to 12, and the box ranges from 4 to 10. A line divides the box at 7.

## How do you compare two box and whisker plots?

That’s a quick and easy way to compare two box-and-whisker plots. First, look at the boxes and median lines to see if they overlap. Then check the sizes of the boxes and whiskers to have a sense of ranges and variability. Finally, look for outliers if there are any.

## What information can you use to compare two box plots?

You can compare two box plots numerically according to their centers, or medians, and their spreads, or variability. Range and interquartile range (IQR) are both measures of spread. Data sets with similar variability should have box plots of similar sizes.

## How do you compare a dot plot?

Calculate the mean, median, and range of the data in the dot plot. data—7.12. A Compare two groups of numeric data using comparative dot plots or box plots by comparing their shapes, centers, and spreads. You can compare dot plots visually using various characteristics, such as center, spread, and shape.

## How do you find q1 and q3?

Q1 is the median (the middle) of the lower half of the data, and Q3 is the median (the middle) of the upper half of the data. (3, 5, 7, 8, 9), | (11, 15, 16, 20, 21). Q1 = 7 and Q3 = 16. Step 5: Subtract Q1 from Q3.

## How do you calculate q3?

Q1 is the middle value in the first half of the data set. Since there are an even number of data points in the first half of the data set, the middle value is the average of the two middle values; that is, Q1 = (3 + 4)/2 or Q1 = 3.5. Q3 is the middle value in the second half of the data set.

## How do you find q1 q2 and q3?

Quartile Formula:Formula for Lower quartile (Q1) = N + 1 multiplied by (1) divided by (4)Formula for Middle quartile (Q2) = N + 1 multiplied by (2) divided by (4)Formula for Upper quartile (Q3) = N + 1 multiplied by (3) divided by (4)Formula for Interquartile range = Q3 (upper quartile) – Q1 (lower quartile)

## How do I find the upper quartile?

Upper Quartile Definition and Formula The upper quartile is the median of the upper half of a data set. This is located by dividing the data set with the median and then dividing the upper half that remains with the median again, this median of the upper half being the upper quartile.