In this guide, I will show you how to find the interquartile range (IQR) in SPSS. I will also show you how to find the first (Q1) and third (Q3) quartiles.
For a symmetric distribution (so the median equals themidhinge, the average of the first and third quartiles), half the IQR equals themedian absolute deviation(MAD). Themedianis the corresponding measure ofcentral tendency. Boxplot(with an interquartile range) and aprobability density function(pd...
The interquartile range (IQR) contains the second and third quartiles, or the middle half of your data set.Whereas the range gives you the spread of the whole data set, the interquartile range gives you the range of the middle half of a data set....
A cumulative distribution function in general called CDF of distribution helps us find the quartiles (first quartile, median, third quartile) of the distribution. When the CDF of a discrete variable is plotted on graph paper, ...
Find the first, second, and third quartiles of the following data set: 4, 5, 8, 7, 11, 9, 9 Find the 20th percentile. (Round your answer to two decimal places.) Refer to the box plot below to answer the question: What is the interquartile range fo...
Question: Here is a sample data set.Find the first quartile for this data set.Q1=Find the third quartile for this data set.Q3=Find the interquartile range for this data set.IQR=1Find the lower fence separating outliers from usual values.Fence...
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Here’s how to interpret the output: The first value displays the minimum value in the dataset: 104.0 The second value displays the first quartile of the dataset: 156.5 The third value displays the second quartile of the dataset: 213.0 ...
Identify the first quartile (Q1), the median, and the third quartile (Q3). Calculate your IQR = Q3 – Q1 Calculate your upper fence = Q3 + (1.5 * IQR) Calculate your lower fence = Q1 – (1.5 * IQR) Use your fences to highlight any outliers, all values that fall outside your fe...
The IQR is the middle 50% of the dataset. It’s the range of values between the third quartile and the first quartile (Q3 – Q1). We can take the IQR, Q1, and Q3 values to calculate the following outlier fences for our dataset: lower outer, lower inner, upper inner, and upper out...