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There won't always be an outlier. ✓ To find the median, mode, and outlier of a set, you can make a line plot. Example: What is the median, mode, and outlier for.

Jul 15, 2010 ... To find the median, mode, and outlier of a set, you can make a line plot. ... 9 numbers in the set in the line plot above so the middle number is ...

a line plot. ENRICHMENT. Examining the Effects of Outliers. Math Masters, p. 9. Students examine how an outlier affects the mean and median of a data set.

Students will explore the effect of outliers on the mean, median, and mode. Using sample data sets with outliers, students will first make a line plot to identify the ...

Sep 12, 2011 ... Outliers are defined as data points that are statistically inconsistent with the rest of the data. .... e S . For comparison, we also plot the zero line.

Calculate Q1, median, Q3 and the 1.5 IQR outlier limits. 2. ... Draw a straight line from Q3 to either the largest observation ... Box plot of student heights. 60. 65.

Students will: • Collect, organize, and represent data using stem and leaf plots and line plots ... o Student Resource Sheet # 10: BCR Football Outliers (Optional) .

Each type of graph has its advantages and disadvantages: ... Line plot. A line plot can be used as an initial record of discrete data values. ... and outliers easily.

PARASAILING Refer to the line plot “Parasailing Costs” above. Use clusters, gaps, peaks, outliers, and symmetry to describe the shape of the distribution.

create and interpret stem-and-leaf plots and boxplots to help determine the shape of a distribution ... conduct and compare t-tests on data with outliers and data without outli- ers to determine ... appears as a solid line in the box. In a distribution ...

Jan 22, 2015 ... First, we can use the scatter command to plot the dv and the iv. .... But, some outliers will have relatively little influence on the regression line.

A dot plot shows each item of numerical data above a number line, or horizontal .... values 2 and 5, called outliers, bring the mean, 54, too far to the left of most of.

To study the impact on the fitted line of moving a single data point, see the website at: ... an outlier, particularly if it occurs at a point of high leverage, will tend to drag the fitted ... The residual plot confirms that the linear model is far from perfect.

outlier before calculating the best straight line or curve, or must we include it? Figure 1. Examples of dot-plots of replicated results. Medians, where relevant, are ...

Note: fitting a line only makes sense if the overall pattern of the scatterplot is roughly linear. 2. Look for outliers and influential observations on the scatterplot. a.

Describe a Boxplot. • Symmetric? if not, positively or negatively skewed (based on median line). • Outliers? Based on 1.5IQR rule (and 3IQR rule for extreme ...

The box portion of the box plot is defined by two lines at the 25th percentile and 75th ... sometimes used for severe outliers, although there is no line drawn at the ...

Equations of regression line: slope, intercept. – Residuals and residual plot. – Outliers and influential observations. • Cautions about correlation and regression.

group by the survival curve or any other line plot. .... Create the annotate outlier dataset called "anno_out": In our customized box plot, any outliers outside the.

forest plot measurement data for outliers was necessary because it provided ..... line (Dixon > 0.5) were outliers, and in this case it is also measurement error. By.