### Outlier Identification in Caloric Data of Sandwiches**Task:** A bakery sells 10 types of sandwiches. Here are their calorie amounts:592, 593, 595, 596, 599, 603, 604, 605, 605, 606Complete the steps below to identify any outliers.#### Step-by-Step Instructions**(a)** *Quartiles:*Let \( Q_1 \) be the lower quartile and \( Q_3 \) be the upper quartile of the data set. Find \( Q_1 \) and \( Q_3 \) for the data set.- \( Q_1 = \_\_\_\_ \)- \( Q_3 = \_\_\_\_ \)**(b)** *Interquartile Range (IQR):*Find the interquartile range (IQR) of the data set.- IQR = \( \_\_\_\_ \)**(c)** *Boundary Calculation:*Calculate a lower boundary using \( Q_1 - 1.5 \times \text{IQR} \). Calculate an upper boundary using \( Q_3 + 1.5 \times \text{IQR} \). *(Note: 1.5 IQR means 1.5 times the IQR.)*- Lower boundary: \( \_\_\_\_ \)- Upper boundary: \( \_\_\_\_ \)**(d)** *Outlier Identification:*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".- Outliers: \( \_\_\_\_ \)This activity allows students to work through the process of identifying outliers by calculating quartiles, the interquartile range, and subsequently using these to find boundaries for outliers.

Given: n = 10 Formula Used: Lower qurtile Q1 = n+14thterm Upper quartile Q3 = 3n+14thterm…

Answered: A bakery sells 10 types of sandwiches.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following numbers of people attended the last 10 screenings of a movie. 196, 198, 199, 203, 203, 205, 206, 207, 208, 210 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2, and 23 for the data set. 2₁ = 0 23 = 0 (b) Find the interquartile range (IQR) of the data set. IQR = ation Lower boundary: Upper boundary: X Outliers: X (c) Calculate a lower boundary using Q₁-1.5 IQR. Calculate an upper boundary using 23 +1.5-IQR. (Note th 1.5 IQR means 1.5 times the IQR.) 2022 McGraw Hill X (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Ident 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,... S X S None Español S S ed. Terms of Use | Privacy Center | Accessibility
The attached data set contains the number of patients visiting a walk-in clinic over several days, the Five Number Summary, and the boxplot. Number of patients - walk in clinic.xlsxDownload Number of patients - walk in clinic.xlsx Using the provided information, answer the following questions.: 1. Find the IQR. 2. List any potential outliers using the IQR method. If there are multiple outliers, separate them with commas. Number of patients who visited a walk-in clinic on each of 24 randomly selected days 8 16 19 20 22 23 24 24 26 26 28 28 29 30 32 33 34 35 37 37…
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 57 65 55 54 57 58 65 61 59 55 65 58 57 62 84 - a. Find the quartiles. The first quartile, Q₁, is The second quartile, Q₂, is The third quartile, Q3, is (Type integers or decimals.)
The heights (in inches) for a sample of 18 Male adults are 62,82,79,76,73,70,67,64,69,69,66,66,63,63,60,60,60,71 Draw the histogram for these data using an initial class boundary of 59.5 and a class width of 5.
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 55 61 63 60 63 56 56 60 55 57 64 54 59 65 77 a. Find the quartiles. The first quartile, Q1, is| The second quartile, Q2, is : The third quartile, Q3, is (Type integers or decimals.)
Suppose a set of class marks has Q1 = 65 and Q2 = 75. What range of data would be considered outliers? O less than 50 and greater than 90 O less than 45 and greater than 95 Oless than 55 and greater than 85 less than 60 and greater than 80 31
The five number summary of a dataset was found to be: 0, 7, 14, 16, 19 An observation is considered an outlier if it is below: An observation is considered an outlier if it is above:
The following numbers of people attended the last 10 screenings of a movie. 198, 199, 200, 201, 202, 204, 205, 206, 206, 207 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2, and 2, for the data set. 2₁ = 0 23 = 0 (b) Find the interquartile range (IQR) of the data set. IQR = [ Explanation Lower boundary: Upper boundary: X (c) Calculate a lower boundary using Q₁-1.5-IQR. Calculate an upper boundary using 23 +1.5-IQR. (Note that 1.5-IQR means 1.5 times the IQR.) X Outliers: X (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Identify 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,... X 3 Ⓒ2022 McGraw Hill LLC None 3 S Terms of Use | Privacy Center | Acc
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 57 60 57 64 62 64 58 64 64 59 54 56 55 59 82 0 a. Find the quartiles. The first quartile, Q,, is 57. The second quartile, Q,, is 59 . The third quartile, Q3, is 64. (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is (Type an integer or a decimal.)
2) The scores for Mr. Brown's and Ms. Green's classes are given below. Make a box-and- whisker plot for both classes and discuss what the plots show about the classes. Clearly list/identify the Upper Quartile, Median, Lower Quartile, Interquartile range and explain how you would determine whether or not there are any outliers in the data set. State the values used to determine outliers (both high and low values) for each data set. Mr. Brown's Class: 9, 10, 14, 11, 19, 13, 14, 21, 19, 22, 21, 17, 15, 21, 17, 13, 13, 19, 13, 13 Ms. Green's Class: 18, 13, 16, 17, 10, 12, 9, 16, 13, 15, 13, 18, 16, 17, 10, 13, 9, 25, 24, 18 bolslgmoo uroy haolqUow lio
number 25 please :)
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

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