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How do i do a box and whisker plots?
To start, you need to identify the median of your set of data. After you have the median, split the remaining data into 2 groups, one with everything smaller than the median, one with everything larger. You then take the median of the 2 groups you just found in the previous step, the smaller one is called the first quartile and the larger one is called the 3rd quartile. Next, you have to find the smallest and largest numbers in the entire original set of data. Now, you should have 5 numbers, the minimum, 1st quartile, median, 3rd quartile, and maximum. To make our actual plot, you plot a scale along one axis and make a tick mark for each of the 5 values we found before. Then, create a line connection the minimum to the 1st quartile and the 3rd quartile to the maximum. Finally, connect the 1st quartile to the 3rd quartile with a rectangle and you're done! In addition, some plots add one more feature to make it easier to spot outliers. What they do is start by finding the difference between the 1st and 3rd quartile which is called the IQR (Inter-Quartile Range). Then, you see if every number less than the 1st quartile (and larger than the 3rd) is more than 1.5 times the IQR away. If it is, you remove the line going through any such values and place a little box at the point. Any place that gets a box can be called an outlier.
Why is there more emphasis on the 1st and 3rd quartile than on the second?
There is not, so the question is misguided.
What are questions of box and whisker plot?
What are the minimum, lower quartile, median, upper quartile and maximum?What the range and interquartile range are.whether the data ore positvely or negatively skewed.How two (or more) data sets compare in terms of the "average" and spread.
What is the upper quartile of the following data set 46 52 54 63 58 50 51?
It is 58. the lower quartile is 50 while the median is 52.Email me at ericmal15@yahoo.com if you need more info and title it Answers.com stuff so i will read it.
When should you throw out an outliers?
If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.
How do i do a box and whisker plots?
To start, you need to identify the median of your set of data. After you have the median, split the remaining data into 2 groups, one with everything smaller than the median, one with everything larger. You then take the median of the 2 groups you just found in the previous step, the smaller one is called the first quartile and the larger one is called the 3rd quartile. Next, you have to find the smallest and largest numbers in the entire original set of data. Now, you should have 5 numbers, the minimum, 1st quartile, median, 3rd quartile, and maximum. To make our actual plot, you plot a scale along one axis and make a tick mark for each of the 5 values we found before. Then, create a line connection the minimum to the 1st quartile and the 3rd quartile to the maximum. Finally, connect the 1st quartile to the 3rd quartile with a rectangle and you're done! In addition, some plots add one more feature to make it easier to spot outliers. What they do is start by finding the difference between the 1st and 3rd quartile which is called the IQR (Inter-Quartile Range). Then, you see if every number less than the 1st quartile (and larger than the 3rd) is more than 1.5 times the IQR away. If it is, you remove the line going through any such values and place a little box at the point. Any place that gets a box can be called an outlier.
Why is there more emphasis on the 1st and 3rd quartile than on the second?
There is not, so the question is misguided.
What are questions of box and whisker plot?
What are the minimum, lower quartile, median, upper quartile and maximum?What the range and interquartile range are.whether the data ore positvely or negatively skewed.How two (or more) data sets compare in terms of the "average" and spread.
What is the upper quartile of the following data set 46 52 54 63 58 50 51?
It is 58. the lower quartile is 50 while the median is 52.Email me at ericmal15@yahoo.com if you need more info and title it Answers.com stuff so i will read it.
When should you throw out an outliers?
If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.
Why do you multiply the interquartile range by 1.5 to find the outlier?
By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.
What set of 10 data points is repeated no more than 4 times and its median is the same as the upper quartile?
Any set of the form {a,a,a,a,b,b,b,b,c,c} where a<b<c.
How do you plot a box and whisker plot?
box-and-whisker plot can be useful for handling many data values. They allow people to explore data and to draw informal conclusions when two or more variables are present. It shows only certain statistics rather than all the data. Five-number summary is another name for the visual representations of the box-and-whisker plot. The five-number summary consists of the median, the quartiles, and the smallest and greatest values in the distribution. Immediate visuals of a box-and-whisker plot are the center, the spread, and the overall range of distribution.The first step in constructing a box-and-whisker plot is to first find the median, thelower quartile and the upper quartile of a given set of data. Example: The following set of numbers are the amount of marbles fifteen different boys own (they are arranged from least to greatest).18 27 34 52 54 59 61 68 78 82 85 87 91 93 100First find the median. The median is the value exactly in the middle of an ordered set of numbers. *68 is the medianNext, we consider only the values to the left of the median: 18 27 34 52 54 59 61. We now find the median of this set of numbers. Remember, the median is the value exactly in the middle oa an ordered set of numbers. Thus 52 is the median of the scores less than the median of all scores, and therefore is the lower quartile.52 is the lower quartileNow consider only the values to the right of the median: 78 82 85 87 91 93 100. We now find the median of this set of numbers. The median 87 is therefore called the upper quartile.87 is the upper quartile(*If you're finding the median in an ordered set with an even number of values, you must take the average of the two middle numbers. For example: 3, 5, 7, and 10. Add the two middle numbers. 5 + 7 = 12. Divided 12 by 2 to get the average. 12 / 2 = 6. Therefore 6 is the median for the ordered set of 3, 5, 7, and 10.)You are now ready to find the interquartile range (IQR). The interquartile range is the difference between the upper quartile and the lower quartile. In our case the IQR = 87 - 52 = 35. The IQR is a very useful measurement. It is useful because it is less influenced by extreme values, it limits the range to the middle 50% of the values.35 is the interquartile rangeNow we begin to draw our graph.
What does the point of intersection of less than ogive and more than ogive correspond to?
the intersection of less and more than ogive gives us the median of the following data.. but the median is not accurate as we draw the free hand cumulative graph..
The point of intersection of the less than and more than ogive corresponds to 1.geometric mean 2.mode 3. median 4.none of the above?
median
What are four parts of the box and whisker plot called?
There are 5 (not 4) parts of an elementary box and whiskers plot. From left to right, they are: minimum, lower quartile, median, upper quartile, and maximum. A more advanced version of plot is used for data containing outliers. In such cases the whiskers extend to the minimum or maximum EXCLUDING the outlier(s) and the outliers themselves are marked with Xs - beyond the scope of the whiskers.
How will you find the median and the total frequency from the graph of less than ogive and more than ogive?
The median can be found out by drawing a perpendicular to the x-axis from the intersection point of both the ogives
