Based on this five number summary, are there any outliers in the data? No outliers at least one upper outlier at least one lower outlier cannot be determined Min = 12 Q1 = 16 Med=22 Q3 = 27 Max = 45
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Q: No outliers at least one upper outlier
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- Check the following data set for outliers. If there is more than one answer, separate them with commas. Select "None" if applicable. , 32, 31, 15, 43, 63, 3641 Send data to Excel Outlier(s):7. Suppose the five-number summary for a data set representing the number of games played for varsity basketball players is 6, 14, 21, 24, 31. What is the cut-off value for determining if a player is an outlier on the high side? (a) 39 (b) 40 (c) 41 (d) 42 (e) none of thesea. In your own words, describe to someone who knows only a little statistics how to recognize when an observation is an outlier. What action(s) should be taken with an outlier? b. Which measure of the center (mean or median) is more resistant to outliers, and what does "resistant to outliers" mean?
- Given the following dataset, calculate the upper cutoff for outliers. A: 110, 210, 389, 465, 890, 1000, 1101, 1238.Stem Leaf 224 25 31344 35 66779 403 45 Using the data set above, determine if there are any outliers. If there are no outliers, enter DNE.2. This is a sample of 10 random seasons in the National Hockey League, Wayne Gretzky scored50% more points than anyone who ever played professional hockey. He accomplished this amazingfeat while playing in 280 fewer games than Gordie Howe, the previous record holder. Here are thenumber of games Gretzky played during each season.45 70 73 73 74 78 79 80 80 82 c.Are there any outliers in the data? Show work and identify which value(s) if any are outliers. d.Construct a boxplot for the data
- The five number summary of a dataset was found to be: min: 1 Q1: 2 Q2: 9 Q3: 18 max: 20 An observation is considered an outlier if it is below (find the lower fence): An observation is considered an outlier if it is above (find the upper fence): I need helpIn a distribution plot, if mean is much smaller than median, does the underlying sample have very large outliers, very small outliers or is the sample size is very small?For a box plot, here are 4 values at the low end of a dataset and 4 values near the high end of a set of dataset: 18, 18, 18, 18 … 23, 23, 25, 25, … If the lower fence or boundary for outlier determination is 16 and the upper fence or boundary is 24, what value would you connect the whisker to on the high side of the “box?”
- b. For the hypothetical salaries in the following dataset, what is the average salary per year? Dataset of hypothetical salaries: $45,000 per year, $20,000 per year, $33,000 per year, $27,000 per year, $91,000 per year. From question 9b, which salary is the outlier? What is the new average if you delete the outlier from your calculations?= DESCRIPTIVE STATISTICS Using the IQR to find outliers in a dat... The last 11 calls to a customer support line had the following lengths (in minutes). 52, 53, 53, 54, 55, 56, 60, 62, 63, 64, 99 Complete the parts below to identify any outliers. 9₁ = 0 93= 0 (b) Find the interquartile range (IQR) of the data set. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find Q, and Q, for the data set. IQR = [ Explanation Lower boundary: Upper boundary: Outliers: X (c) Calculate a lower boundary using Q₁-1.5 IQR. Calculate an upper boundary using Q3 +1.5-IQR. (Note that 1.5-IQR means 1.5 times the IQR.) Check X 2027 X (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Identify all the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None". 0,0,... None 2/5 G X Dianne V G Español ights Reserved. Terms of ? AzFind the mean median mode by looking at the 3 graphs