View the attatchments and then explain the following- Find the skewness and kurtosis of commuting times and explain what the box and whisker plot and data is showing or explaining. **Commuting Times (in minutes) Data Analysis**The dataset consists of commuting times measured in minutes. Here are some key statistical measures derived from the data:- **Minimum**: 10 minutes- **First Quartile (Q1)**: 40 minutes- **Median**: 60 minutes- **Third Quartile (Q3)**: 120 minutes- **Maximum**: 260 minutes- **Mean**: 73.74 minutes**Box Plot Explanation:**The accompanying box plot provides a visual representation of the distribution of commuting times:- **Box**: The central box represents the interquartile range (IQR), which contains the middle 50% of the data (from Q1 to Q3). For this dataset, it ranges from 40 to 120 minutes.- **Median Line**: Inside the box, a line indicates the median at 60 minutes, showcasing where the center of the data lies.- **Whiskers**: The whiskers extend to the smallest and largest values within 1.5 times the IQR from Q1 and Q3, respectively. The lower whisker bottoms at 10 minutes.- **Outliers**: Any data points beyond the whiskers are considered outliers. In this plot, the dot above the upper whisker at 260 minutes represents an outlier, indicating a significantly longer commuting time compared to most of the data.This box plot is a helpful tool for quickly visualizing the distribution, central tendency, and variability of commuting times in the dataset, as well as identifying any potential outliers. **Commuting Times (in minutes)**20 45 90 15 40 150 120 40 60 80 80 60 30 90 60 30 30 260 120 120 30 30 90 10 120 120 45 60 12 80 50 40 120 50 30 40 60 45 120 50 40 40 120 120 200 10 65 40 60 60 120 140

Answered: View the attatchments and then explain…

View the attatchments and then explain the following - Find the skewness and kurtosis of commuting times and explain what the box and whisker plot and data is showing or explaining.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose a researcher collects data on the bacterial contamination, measured in colony-forming unit per milliliter, for both upstream and downstream sections of 35 rivers. The data is plotted with upstream bacterial contamination on the horizontal axis and downstream bacterial contamination on the vertical axis. The Scioto River is an outlier in the ?y‑direction. What must be true about this river? The upstream bacterial contamination for this river is much higher or lower than the rest of the rivers in the data set. The downstream bacterial contamination for this river is much higher or lower than other rivers in the data set that have similar upstream bacterial contamination. This river is an influential observation. The downstream bacterial contamination for this river is much higher or much lower than the rest of the rivers in the data set. The absolute value of the residual of this river is large.
Based on the box plot, what are the range and ther interquartile range?
Use the data provided on Canvas. In automotive assembly processes, automation cannot always guarantee the dimensional accuracy of a car assembly as required by the design specification. Thus, some skillful workers will visually inspect those assembled car bodies and conduct manual adjustments when necessary. These workers are called "Fitter" in the automotive industry. This scenario is illustrated in the following figure. Automatic assembly process X P₁ Fitter Y P₂ One critical quality characteristics on a car assembly were measured at both P₁ (before fitter) and P₂ (after fitter). The data are labeled as X and Y, respectively, and 20 measurements are shown below. Please use the risk adjustment method to test if X and/or Y are in control. Please show X chart, Y chart and Z chart.
I can do the scatter plot diagram I just need help With identifying the Y axis and the X access and the Form directions strength And outlier
The following computer output was used as a part of the model adequacy check. What is the purpose of this plot and what can you conclude based in this plot
Also what is the interquartile range of the data? A) 40 B)15 C)35 D)25
The table lists the average monthly cost to workers for family health insurance for various years. Year, x Average Monthly Cost to Workers for Family Health Insurance $298 a) Use a graphing calculator to fit a regression line to the data. b) Predict the average monthly cost to workers for family health insurance in 2020, and compare the value with $493.3, which is obtained using the points (1,340) and (4,386). c) Find the correlation coefficient for the regression line, and determine whether the line fits the data closely. 2009, 0 2010, 1 2011, 2 340 348 2012, 3 367 2013, 4 2014, 5 386 406 a) The linear equation of the regression line that best models the data is y =x+. (Round to the nearest hundredth as needed.) b) The average monthly cost to workers for family health insurance in 2020 is predicted to be $ (Round to the nearest cent as needed.) Compare the above obtained value with $493.3 This value is $ $493.3 c) The correlation coefficient is (Round to the nearest thousandth as…