Here is a sample of the number of cars passing over a bridge per hour during rush hour.404408409416428 430432433435438446 446452452452453454454456456457459460 460461461461461461461464468468470470 471471475477479479479484487495496496497499505507 514 518519Find the first quartile for this data set.Q =Find the third quartile for this data set.Find the interquartile range for this data set. IQR = Q, Q%3!IQR =%3D

Given The data is as follows: 404, 432, 452, 456, 461, 464, 471, 484, 499, 408, 433, 452, 456, 461,…

Answered: Here is a sample of the number of cars…

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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During one shift, the express lane clerk recorded how many times customers violated the "10 items or less rule for his lane. In particular, he recorded how many items over the limit each violator placed on the conveyor belt. This data is summarized in the histogram below. NOTE: The last class actually represents 7 or more items," not just 7 items. 124 10- 2- 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 # items over 10 What is the frequency of times the limit was exceeded by less than 4 items? ans = Enter an IntesNY or decimal number (more. Question Help: D Video
Some people believe that different octane gasoline result in different miles per gallon in a vehicle. The following data is a sample of 11 people which were asked to drive their car only using 10 gallons of gas and record their mileage for each 87 Octane and 92 Octane. Miles with Miles with Person 87 92 Octane Octane 1 234 237 2 257 238 243 229 4 215 224 5 114 119 287 297 7 315 351 8. 229 241 9 192 186 10 204 209 11 547 562 Do the data support that different octanes produce different miles per gallon at the a = 0.02 level of significance? Note: A normal probability plot of difference in car mileage between Octane 87 and Octane 92 indicates the population could be normal and a boxplot indicated no outliers. a. Express the null and alternative hypotheses in symbolic form for this claim. Assume Ha = H1 - H2, where 4i is the population mean mileage for Octane 87 and lz is the mean mileage for Octane 92. Ho: Ha Select an answer H1: Ha Select an answer b. What is the significance level? a =…
Some people believe that different octane gasoline result in different miles per gallon in a vehicle. The following data is a sample of 11 people which were asked to drive their car only using 10 gallons of gas and record their mileage for each 87 Octane and 92 Octane. Miles with 87 Octane Miles with 92 Octane Person 1. 234 237 257 238 3 243 229 4 215 224 114 119 6 287 297 315 351 8 229 241 9 192 186 10 204 209 11 547 562 Do the data support that different octanes produce different miles per gallon at the a = 0.02 level of significance? Note: A normal probability plot of difference in car mileage between Octane 87 and Octane 92 indicates the population could be normal and a boxplot indicated no outliers. a. Express the null and alternative hypotheses in symbolic form for this claim. Assume 4 = 4i – P2, where µi is the population mean mileage for Octane 87 and u2 is the mean mileage for Octane 92. Ho: 4, Select an answer V H1:µ, Select an answer V b. What is the significance level? c.…
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Sixty students were given a history exam. Their scores are shown below, sorted from smallest to largest. 21 32 36 37 37 37 38 39 40 40 41 42 44 46 48 50 53 65 72 72 72 72 73 74 74 75 75 76 76 76 76 77 77 77 77 78 79 79 80 80 80 81 81 82 82 82 82 83 83 85 85 86 86 88 88 89 91 91 93 94 1) Compute the 5-number summary for this data: 12,_,_,_,94
Determine whether the value given below is from a discrete or continuous data set. When a car is randomly selected and weighed, it is found to weigh 1526.3 kg. Choose the correct answer below. A. A continuousdata set because there are infinitely many possible values and those values cannot be counted B. The data set is neither continuous nor discrete. C. A discrete data set because there are a finite number of possible values D. A discrete data set because there are infinitely many possible values and those
The table shows data about student involvement in extracurricular activities at a local high school. Extracurricular Activities Involved in Not Involved in Activities Activities Totals Male 112 145 257 Female 139 120 259 Totals 251 265 516 P(femalel involved in activities)? 265 516 139 251 251 516 139 516
30. FILE The following data give the weekly amounts spent on groceries for a sample of 45 households. $271 $363 $159 $ 76 $227 $337 $295 $319 $250 279 205 279 266 199 177 162 232 303 192 181 321 309 246 278 50 41 335 116 100 151 240 474 297 170 188 320 429 294 570 342 279 235 434 123 325 a. How many classes would you recommend? b. What class interval would you suggest? c. What would you recommend as the lower limit of the first class? d. Organize the data into a frequency distribution.
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 2048 4096 4096 2 1024 2048 4096 3 1024 2048 8192 computer 4 2048 4096 8192 5 1024 2048 4096 6 2048 8192 2048 Here is the ANOVA table: Source DF Adj SS Adj MS F-Value P-Value Factor x 39263346 19631673 x.xx 0.025 Error xx 61691221 4112748 Total xx…
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 4096 4096 4096 2 4096 2048 4096 4096 2048 8192 computer 4 8192 4096 8192 4096 2048 4096 6. 2048 8192 2048 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5592405 2796203 XXX 0.604 Error XX 80390827 5359388 Total XX 85983232 Calculate the number of degrees of freedom Error. 3.
Find the five-number summary of the scores in the Math 130 test pre-sented in Table 4.1, page 112. Draw the boxplot.
City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the mean commute time for these 18 cities? b) What is the median commute time for these 18 cities? c) What is the mode for these 18 cities? d) What is the variance and standard deviation of commute times for these 18 cities? e) Find the z – score value of commute time for these 18 cities. f) Find 28th and 77th Percentile of commute times for these 18 cities.

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