Frequency344.7 389.1 394.3 411.8 412.1431.9433.5445447.4452.3465.4466469.2 469.2 469.2469.8470.6471.7471.8 474.9483483.1485490.4494.8 495.8 496.8496.8500506.8512.5 516.6 520.1520.4 524.8534.8545.3 547.4558.1556.4 558.1 558.1580.6564.4 572.4 577.4585586.2587.8 588.2 593.8 606.1 607.8 611.4=18161412108642300 350400 450 500Find the first quartile for this data set.Q₁length (cm)=550 600 650Find the third quartile for this data set.Q3²=Find the interquartile range for this data set.IQR ==Find the lower fence separating outliers from usual values.Fence LowFind the upper fence separating outliers from usual values.Fence high

The objective of this question is to find the first quartile (Q1), third quartile (Q3),…

Answered: Frequency 344.7 389.1 394.3 411.8 412.1…

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. Frequency SHIFT 14- 12 10- 8- 6 CAPS 0.5 1.5 2.5 3.5 4.5 5.5 5.5 6.5 7.5 #items over 10 Q What is the frequency of times the limit was exceeded by at least 2 items? 38°F Clear 4 ans 2H TAB 61 Check Answer ESC ! F1 ! Q A Z BEBEEEE F2 X 2 W S F3 # * 3 Q Search X E F4 LA 4 F5 с % R 5 LLI F6 T V 6 HCO F7 1111 4+ 7 Y F8 G H * 00 с F9 J B N
An experiment was performed to determine whether different types of chocolate take different amounts of time to dissolve. Forty people were divided into five groups. Each group was assigned a certain type of chocolate. Each person dissolved one piece of chocolate, and the dissolve time (in seconds) was recorded. For comparison, each person in each group also dissolved one piece of butterscotch candy; these pieces were identical for all groups. The data, which include the group, the dissolve times for both chocolate and butterscotch, the difference between the dissolve times, and the ratio of the dissolve times, are presented in the following table. Note that the design is slightly unbalanced; group 3 has nine people and group 5 has only seven. Group Chocolate Butterscotch Difference Ratio 60 135 75 2.25 865 635 230 1.36 122 63 59 1.94 110 75 35 1.47 71 37 34 1.92 81 58 23 1.40 2405 1105 1300 2.18
4070 3870 4470 4060 4540 3880 4030 4060 4230 4310 4310 4130 4530 4470 4260 4350 4480 4060 4340 4220 3870 4160 4560 4190 4360 4220 4750 4310
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
A researcher interested in determining if there is an association between head circumference and brain volume tested for linear correlation at the a= 0.05 significance level. She took a random sample of twenty adults and measured the head circumference and brain volume (using ultrasound) for each person in the sample. The table above gives the paired data for the twenty adults. The researcher determined there is positive linear correlation between head circumference and brain volume at the 0.05 level of significance. With that information answer the following questions. 1.) Since we've determined there is linear correlation between head circumference and brain volume from the output on the TI83/84 what is "a" the y-intercept of the regression line? A. a=.508 B. a=34.740 C. a=-110.572 D. a=-823.829 2. Since we've determined there is linear correlation between head circumference and brain volume from the output on the T183/84 what is "b" the slope of the regression? A. b=34.740 B. b=.508…
I. Chi Diana Vasqu Tim 5 of 9 (4 complete) ▼ i Data Table when stop bet 0.718 1.440 1.943 2.447 3.143 3.707 7 0.711 1.415 1.895 2.365 2.998 3.499 0.706 1.397 1.860 2.306 2.896 3.355 0.703 1.383 1.833 2.262 2.821 3.250 2.228 2.764 2.718 10 0.700 1.372 1.812 3.169 11 0.697 1.363 1.796 2.201 3.106 3.055 3.012 12 0.695 1.356 1.782 2.179 2.681 13 0.694 1.350 1.771 2.160 2.650 14 0.692 1.345 1.761 2.145 2.624 2.977 15 0.691 1.341 1.753 2.131 2.602 2.947 16 0.690 1.337 1.746 2.120 2.583 2.921. within your c 17 0.689 1.333 1.740 2.110 2.567 2.898 18 0.688 1.330 1.734 2.101 2.552 2.878 19 0.688 1.328 1.729 2.093 2.539 2.861 20 0.687 1.325 1.725 2.086 2.528 2.845 21 0.686 1.323 1.721 2.080 2.518 2.831 22 0.686 1.321 1.717 2.074 2.508 2.819 23 0.685 1.319 1.714 2.069 2.500 2.807 2.492 2.485 24 0.685 1.318 1.711 2.064 2.797 25 0.684 1.316 1.708 2.060 2.787 26 0.684 1.315 1.706 2.056 2.479 2.779 2.473 2.467 2.462 2.326 27 0.684 1.314 1.703 2.052 2.771 28 0.683 1.313 1.701 2.048 2.763 a signif 1.311…
3 2 41.5-46.5 46.5- 31.5-36.5 36.5-41.5 Class bourndaries Class limits 17-21 22-26 27-31 32-36 37-41 42-46 47-51 Class boundaries 16.5-21.5 21.5-26.5 26.5-315 315-36.5 Class midpoints Frequency Cumulative frequency 19 1 24 4 29 1 34 6 36.5 - 41.5 415-46.5 46 5-51.5 39 10 4. 44 14 49 17 12 19 Part 1 of 4 (a) How many values are in the class 26.5 - 31.57 The number of values in the dass 26.5 - 31.5 is Part 2 of 4 (b) How many values fall between 215 and 41.57 The number of values that fall between 21.5 and 41.5 is . Part 3 of 4 (c) Haw many values are below 36.57 The number of values that are below 30.5 is Frequency 16.5-21.5 21.5-26.5 26.5-31.5 51.5
The table provided below shows paired data for the heights of a certain country's presidents and their main opponents in the election campaign. Construct a scatterplot. Does there appear to be a correlation? Click the icon to view the data table for election heights. Construct a scatterplot. Choose the correct graph below. OA. В. C. D. 200- 200- 200- 200- 160+ 160 President's height 160+ 160 President's height 160+ 160 President's height 160- 160 President's height 200 200 200 200 Does there appear to be a correlation between the president's height and his opponent's height? A. Yes, there appears to be a correlation. As the president's height increases, his opponent's height increases. B. Yes, there appears to be a correlation. The candidate with the highest height usually wins. C. Yes, there appears to be a correlation. As the president's height increases, his opponent's height decreases. D. No, there does not appear to be a correlation because there is no general pattern to the data.…
Construct a frequency bar graph.
A researcher hypothesizes that ambient air carbon monoxide pollution levels at a certain location should be higher in the winter than they are in the summer. The reasoning behind this hypothesis is that a major source of carbon monoxide in the air is from the incomplete combustion of fuels, and fuels tend to burn less efficiently at low temperatures. Moreover, it is felt that the stagnant winter air is more likely to trap the pollution. In order to investigate this hypothesis, the data set in DS 9.7.12 is collected which shows the ambient air carbon monoxide pollution levels (parts per million) for ten Sunday mornings in the middle of winter and ten Sunday mornings in the middle of summer.
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…

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