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        代做MSE 280、代寫Matlab程序語言
        代做MSE 280、代寫Matlab程序語言

        時間:2024-10-12  來源:合肥網(wǎng)hfw.cc  作者:hfw.cc 我要糾錯



        AME 209/MSE 280 
        Homework 3 Fall 2024 
         
        Prepare your homework solution using a word editor and save it as a pdf file. 
        Along with your PDF submission, also include the figure file for question 3. Name 
        your solution files: 
         
        homework_03_NNNN.pdf 
        homework_03_prob3.fig 
         
        where NNNN are the last four digits of your student number. Spell check your 
        solution, and include your name, and student ID number on the document. 
         
        1. Download the file: homework03_prob1_data.xlsx 
         
        This file contains the reported box, cup and soft tissue package volumes measured by 
        past students. 
         
        a) Import the box and tissue volumes into Matlab. Define column vectors for each 
        data set. Use Matlab to calculate the statistical measures of the box volumes: 
        average, standard deviation, median, geometric mean, range (maximumminimum),
         and the normalized range (range/average, expressed as a percentage). 
        b) Is the standard deviation calculated by Matlab the sample or population standard 
        deviation? 
        c) Use the Matlab histfit function to draw a histogram and the normal distribution 
        curve fitting the data. Group the data into 10 bins. Label the axes, and give the plot 
        a descriptive title. 
        d) Do you think the normal distribution curve fits the data well? 
         
        2. Repeat the above steps with the tissue volume data. 
         
        3. A company would like to predict how the trainees in its sales force will perform. At 
        the beginning of their two-month training course, they are given an aptitude test. 
        Sales records are kept for each trainee over the first year, the results are shown 
        below. 
         
        Aptitude Score Number of Sales 
         
        (a) Plot the data with linear axes. 
        (b) Using linear regression and the Matlab fit command (not the Matlab fitting tool 
        on the plot window), determine the equation of the best-fit line. 
        (c) Draw the line on the curve. 
        (d) What level of sales would you expect from aptitude scores of 40, 50, 70? 

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