Lab4
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School
San Antonio College *
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Course
1173
Subject
Statistics
Date
Feb 20, 2024
Type
Pages
8
Uploaded by CorporalBook6857
Table of Contents
Part 1: Load Data ...............................................................................................................................
1
Part 2: Create a table, displaying the average value for the listed information for each section of the cohort. ..........
1
Part 3: Create 2 Histograms in one figure (subplot), with average hours of sleep for each gender. .......................
5
Part 4: Compare Sleep Dairy Characteristics (three ttests) ..........................................................................
7
Part 1: Load Data
load diariesFall2023.mat
waketime = (wakeTimes - floor(wakeTimes))*24;
bedtime = (bedTimes - floor(wakeTimes))*24;
hoursSleep = waketime - bedtime;
totalDailySleep = hoursSleep + (minutesNap/60)-(minsAwake/60) -
(toSleepMinutes/60);
Part 2: Create a table, displaying the average
value for the listed information for each section
of the cohort.
% My Personal Data's average value for each section of the cohort.
% (using my Cohort Number #31 from the grade in canvas)
myWaketime = waketime(:,31);
myWaketimeMean = mean(myWaketime(:));
myHoursleep = hoursSleep(:, 31);
myHoursleepMean = mean(myHoursleep(:));
myMinutesNapping = minutesNap(:, 31);
myMinutesNappingMean = mean(myMinutesNapping(:));
mytotalDailySleep = totalDailySleep(:, 31);
mytotalDailySleepMean = mean(mytotalDailySleep(:));
myBedtime = bedtime(:, 31);
myBedtimeMean = mean(myBedtime(:));
mytoSleepMinutes = toSleepMinutes(:, 31);
mytoSleepMinutesMean = mean(mytoSleepMinutes(:));
myMinutesAwake = minsAwake(:, 31);
myMinutesAwakeMean = mean(myMinutesAwake(:));
mySSI = SSI(:, 31);
mySSIMean = mean(mySSI(:));
% Section 0's average value for each section of the cohort. % Instructor
section0 = section == 0;
section0Waketime = waketime(:,section0);
section0WaketimeMean = mean(section0Waketime(:));
section0Hoursleep = hoursSleep(:, section0);
section0HoursleepMean = mean(section0Hoursleep(:));
section0MinutesNapping = minutesNap(:, section0);
section0MinutesNappingMean = mean(section0MinutesNapping(:));
section0totalDailySleep = totalDailySleep(:, section0);
1
section0totalDailySleepMean = mean(section0totalDailySleep(:));
section0Bedtime = bedtime(:, section0);
section0BedtimeMean = mean(section0Bedtime(:));
section0toSleepMinutes = toSleepMinutes(:, section0);
section0toSleepMinutesMean = mean(section0toSleepMinutes(:));
section0MinutesAwake = minsAwake(:, section0);
section0MinutesAwakeMean = mean(section0MinutesAwake(:));
section0SSI = SSI(:, section0);
section0SSIMean = mean(section0SSI(:));
% Section 1's average value for each section of the cohort.
section1 = section == 1;
section1Waketime = waketime(:,section1);
section1WaketimeMean = mean(section1Waketime(:));
section1Hoursleep = hoursSleep(:, section1);
section1HoursleepMean = mean(section1Hoursleep(:));
section1MinutesNapping = minutesNap(:, section1);
section1MinutesNappingMean = mean(section1MinutesNapping(:));
section1totalDailySleep = totalDailySleep(:, section1);
section1totalDailySleepMean = mean(section1totalDailySleep(:));
section1Bedtime = bedtime(:, section1);
section1BedtimeMean = mean(section1Bedtime(:));
section1toSleepMinutes = toSleepMinutes(:, section1);
section1toSleepMinutesMean = mean(section1toSleepMinutes(:));
section1MinutesAwake = minsAwake(:, section1);
section1MinutesAwakeMean = mean(section1MinutesAwake(:));
section1SSI = SSI(:, section1);
section1SSIMean = mean(section1SSI(:));
% Section 2's average value for each section of the cohort.
section2 = section == 2;
section2Waketime = waketime(:,section2);
section2WaketimeMean = mean(section2Waketime(:));
section2Hoursleep = hoursSleep(:, section2);
section2HoursleepMean = mean(section2Hoursleep(:));
section2MinutesNapping = minutesNap(:, section2);
section2MinutesNappingMean = mean(section2MinutesNapping(:));
section2totalDailySleep = totalDailySleep(:, section2);
section2totalDailySleepMean = mean(section2totalDailySleep(:));
section2Bedtime = bedtime(:, section2);
section2BedtimeMean = mean(section2Bedtime(:));
section2toSleepMinutes = toSleepMinutes(:, section2);
section2toSleepMinutesMean = mean(section2toSleepMinutes(:));
section2MinutesAwake = minsAwake(:, section2);
section2MinutesAwakeMean = mean(section2MinutesAwake(:));
section2SSI = SSI(:, section2);
section2SSIMean = mean(section2SSI(:));
% Section 3's average value for each section of the cohort.
section3 = section == 3;
section3Waketime = waketime(:,section3);
section3WaketimeMean = mean(section3Waketime(:));
section3Hoursleep = hoursSleep(:, section3);
section3HoursleepMean = mean(section3Hoursleep(:));
2
section3MinutesNapping = minutesNap(:, section3);
section3MinutesNappingMean = mean(section3MinutesNapping(:));
section3totalDailySleep = totalDailySleep(:, section3);
section3totalDailySleepMean = mean(section3totalDailySleep(:));
section3Bedtime = bedtime(:, section3);
section3BedtimeMean = mean(section3Bedtime(:));
section3toSleepMinutes = toSleepMinutes(:, section3);
section3toSleepMinutesMean = mean(section3toSleepMinutes(:));
section3MinutesAwake = minsAwake(:, section3);
section3MinutesAwakeMean = mean(section3MinutesAwake(:));
section3SSI = SSI(:, section3);
section3SSIMean = mean(section3SSI(:));
% Section 4's average value for each section of the cohort.
section4 = section == 4;
section4Waketime = waketime(:,section4);
section4WaketimeMean = mean(section4Waketime(:));
section4Hoursleep = hoursSleep(:, section4);
section4HoursleepMean = mean(section4Hoursleep(:));
section4MinutesNapping = minutesNap(:, section4);
section4MinutesNappingMean = mean(section4MinutesNapping(:));
section4totalDailySleep = totalDailySleep(:, section4);
section4totalDailySleepMean = mean(section4totalDailySleep(:));
section4Bedtime = bedtime(:, section4);
section4BedtimeMean = mean(section4Bedtime(:));
section4toSleepMinutes = toSleepMinutes(:, section4);
section4toSleepMinutesMean = mean(section4toSleepMinutes(:));
section4MinutesAwake = minsAwake(:, section4);
section4MinutesAwakeMean = mean(section4MinutesAwake(:));
section4SSI = SSI(:, section4);
section4SSIMean = mean(section4SSI(:));
% Section 5's average value for each section of the cohort.
section5 = section == 5;
section5Waketime = waketime(:,section5);
section5WaketimeMean = mean(section5Waketime(:));
section5Hoursleep = hoursSleep(:, section5);
section5HoursleepMean = mean(section5Hoursleep(:));
section5MinutesNapping = minutesNap(:, section5);
section5MinutesNappingMean = mean(section5MinutesNapping(:));
section5totalDailySleep = totalDailySleep(:, section5);
section5totalDailySleepMean = mean(section5totalDailySleep(:));
section5Bedtime = bedtime(:, section5);
section5BedtimeMean = mean(section5Bedtime(:));
section5toSleepMinutes = toSleepMinutes(:, section5);
section5toSleepMinutesMean = mean(section5toSleepMinutes(:));
section5MinutesAwake = minsAwake(:, section5);
section5MinutesAwakeMean = mean(section5MinutesAwake(:));
section5SSI = SSI(:, section5);
section5SSIMean = mean(section5SSI(:));
% The Average Values for Each Section of the Cohort Table
fprintf(
' MyData\t Section0\t Section 1\t Section 2\t
Section 3\t Section 4\t Section 5\n'
);
3
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fprintf(
'Wake Up time: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\n'
, myWaketimeMean, section0WaketimeMean, section1WaketimeMean,
section2WaketimeMean, section3WaketimeMean, section4WaketimeMean,
section5WaketimeMean);
fprintf(
'Bed Time: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f
\t%8.2f\n'
, myBedtimeMean, section0BedtimeMean, section1BedtimeMean,
section2BedtimeMean, section3BedtimeMean, section4BedtimeMean,
section5BedtimeMean);
fprintf(
'Hours in Bed: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\n'
, myHoursleepMean, section0HoursleepMean, section1HoursleepMean,
section2HoursleepMean, section3HoursleepMean, section4HoursleepMean,
section5HoursleepMean);
fprintf(
'Minutes to Sleep: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\t%8.2f\n'
, mytoSleepMinutesMean, section0toSleepMinutesMean,
section1toSleepMinutesMean, section2toSleepMinutesMean,
section3toSleepMinutesMean, section4toSleepMinutesMean,
section5toSleepMinutesMean);
fprintf(
'Minutes to Napping: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\t%8.2f\n'
, myMinutesNappingMean, section0MinutesNappingMean,
section1MinutesNappingMean, section2MinutesNappingMean,
section3MinutesNappingMean, section4MinutesNappingMean,
section5MinutesNappingMean);
fprintf(
'Awake at Night: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f
\n'
, myMinutesAwakeMean, section0MinutesAwakeMean, section1MinutesAwakeMean,
section2MinutesAwakeMean, section3MinutesAwakeMean, section4MinutesAwakeMean,
section5MinutesAwakeMean);
fprintf(
'Total Daily Sleep: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\t%8.2f\n'
, mytotalDailySleepMean, section0totalDailySleepMean,
section1totalDailySleepMean, section2totalDailySleepMean,
section3totalDailySleepMean, section4totalDailySleepMean,
section5totalDailySleepMean);
fprintf(
'SSI: %8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t%8.2f\t
%8.2f\n'
, mySSIMean, section0SSIMean, section1SSIMean, section2SSIMean,
section3SSIMean, section4SSIMean, section5SSIMean);
MyData Section0 Section 1 Section 2 Section 3 Section 4 Section 5
Wake Up time: 8.22 6.16 8.40 9.18 8.52 8.58 8.74
Bed Time: -1.07 -1.46 0.18 0.90 0.50 0.39 0.29
Hours in Bed: 9.29 7.61 8.23 8.28 8.02 8.19 8.45
Minutes to Sleep: 32.38 4.05 18.57 17.57 16.36 19.11 12.05
Minutes to Napping: 48.57 10.45 9.72 11.01 19.02 17.31 9.39
Awake at Night: 1.67 5.86 6.58 19.99 11.00 6.60 4.75
Total Daily Sleep: 9.53 7.62 7.97 7.84 7.88 8.05 8.32
SSI: 2.90 2.93 2.74 2.67 2.82 2.70 3.04
4
Part 3: Create 2 Histograms in one figure (sub-
plot), with average hours of sleep for each gen-
der.
FemaleLogical = strcmpi(gender, 'Female'
);
MaleLogical = strcmpi(gender, 'Male'
);
hoursSleepFemale = hoursSleep(:,FemaleLogical);
AverhoursSleepFemale = mean(hoursSleepFemale,2);
hoursSleepMale = hoursSleep(:,MaleLogical);
AverhoursSleepMale = mean(hoursSleepMale,2);
figure;
subplot(1, 2, 1);
histogram(AverhoursSleepFemale, 10);
title(
'Average Hours of Sleep for Females'
);
xlabel(
'Hours Slept'
);
ylabel(
'Number of Times Slept'
);
legend(
'Females'
);
subplot(1, 2, 2);
histogram(AverhoursSleepMale, 10);
title(
'Average Hours of Sleep for Males'
);
xlabel(
'Hours Slept'
);
ylabel(
'Number of Times Slept'
);
legend(
'Males'
);
5
6
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Part 4: Compare Sleep Dairy Characteristics
(three ttests)
Students = section1 | section2 | section3 | section4 | section5;
Instructor = section0;
StudentsWaketime = waketime(:,Students);
StudentsHoursSleep = hoursSleep(:,Students);
%Do I and section 2 have the same average waketime?
[h1, p1, c1] = ttest2(myWaketime(:), section2Waketime(:));
fprintf(
'Do I and section 2 have the same average waketime?\n'
);
fprintf(
'The hypothesis is %4.2f, The p-value is %4.2f, and the confidence
interval is [%4.2f] to [%4.2f] \n'
, h1, p1, c1);
%Does the Instructor and the Students have the same average Hours of Sleep?
[h2, p2, c2] = ttest2(section0Hoursleep(:), StudentsHoursSleep(:));
fprintf(
'Does the Instructor and the Students have the same average Hours of
Sleep?\n'
);
fprintf(
'The hypothesis is %4.2f, The p-value is %4.2f, and the confidence
interval is [%4.2f] to [%4.2f] \n'
, h2, p2, c2);
7
%Does section 4 and section 5 have the same average bedtime?
[h3, p3, c3] = ttest2(section4Bedtime(:), section5Bedtime(:));
fprintf(
'Does section 4 and section 5 have the same average bedtime?\n'
);
fprintf(
'The hypothesis is %4.2f, The p-value is %4.2f, and the confidence
interval is [%4.2f] to [%4.2f] \n'
, h3, p3, c3);
Do I and section 2 have the same average waketime?
The hypothesis is 1.00, The p-value is 0.04, and the confidence interval is
[-1.86] to [-0.06] Does the Instructor and the Students have the same average Hours of Sleep?
The hypothesis is 0.00, The p-value is 0.06, and the confidence interval is
[-1.22] to [0.03] Does section 4 and section 5 have the same average bedtime?
The hypothesis is 0.00, The p-value is 0.32, and the confidence interval is
[-0.09] to [0.28] Published with MATLAB® R2023a
8
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On pickup trucks they make 19 %
In your notebook, create a matrix with all of the vehicle prices in it. Then demonstrate how matrix
multiplication with the following profit percentage matrix (shown below) can be used to find the profit per
vehicle. Find a matrix of profit per car.
THE
0.12 0
0.13 0
0.
0.
0.1
0 0.19
The profit matrix is
Reading from the profix matrix, how much profit does the dealer make if they sell 5 Brand B luxury cars?
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• Shoe Shine is a local retail shoe store located on the north side of Centerville. Annual demand for a pop- ular sandal is 500 pairs, and John Dirk, the owner of Shoe Shine, has been in the habit of ordering 100 pairs at a time. John estimates that the ordering cost is $10 per order. The cost of the sandal is $5 per pair. For John's ordering policy to be correct, what would the carrying cost as a percentage of the unit cost have to be? If the carrying cost were 10% of the cost, what would the optimal order quantity be?
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Can you guys help me on this? Thank you!
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