MonthsSuper 98 Dhs/liter Special 95 Dhs/liter E-plus 91 Dhs/liter Diesel Dhs/literJanuary'18December'17November'172.242.122.052.332.152.041.972.22.031.921.852.11October'172.122.011.942.1September'17August'17July'17June'172.011.91.8321.891.781.711.881.861.751.681.841.961.851.781.9May'17April'17March'17February'172.011.91.831.971.951.841.771.952.031.921.852.0221.891.822T1:Measurements of central tendency?T2:measurements of Dispersion ?T3:comment on data. A student must write about hisobservation on price of oil over period of time?

The measures of central tendency are mean, median and mode. Range, interquartile range, and standard…

Months Super 98 Dhs/liter Special 95 Dhs/liter E-plus 91 Dhs/liter Diesel Dhs/liter January'18 2.24 2.12 2.05 2.33 December'17 2.15 2.04 1.97 2.2 November'17 2.03 1.92 1.85 2.11 October'17 2.12 2.01 1.94 2.1 September'17 August'17 July'17 June'17 May'17 April'17 2.01 1.9 1.83 2 1.89 1.78 1.71 1.88 1.86 1.75 1.68 1.84 1.96 1.85 1.78 1.9 2.01 1.9 1.83 1.97 1.95 1.84 1.77 1.95 March'17 2.03 1.92 1.85 2.02 February'17 2 1.89 1.82 2 T1:Measurements of central tendency? T2:measurements of Dispersion ? T3:comment on data. A student must write about his observation on price of oil over period of time?

Months Super 98 Dhs/liter Special 95 Dhs/liter E-plus 91 Dhs/liter Diesel Dhs/liter January'18 2.24 2.12 2.05 2.33 December'17 2.15 2.04 1.97 2.2 November'17 2.03 1.92 1.85 2.11 October'17 2.12 2.01 1.94 2.1 September'17 August'17 July'17 June'17 May'17 April'17 2.01 1.9 1.83 2 1.89 1.78 1.71 1.88 1.86 1.75 1.68 1.84 1.96 1.85 1.78 1.9 2.01 1.9 1.83 1.97 1.95 1.84 1.77 1.95 March'17 2.03 1.92 1.85 2.02 February'17 2 1.89 1.82 2 T1:Measurements of central tendency? T2:measurements of Dispersion ? T3:comment on data. A student must write about his observation on price of oil over period of time?

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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Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

Months
Super 98 Dhs/liter Special 95 Dhs/liter E-plus 91 Dhs/liter Diesel Dhs/liter
January'18
December'17
November'17
2.24
2.12
2.05
2.33
2.15
2.04
1.97
2.2
2.03
1.92
1.85
2.11
October'17
2.12
2.01
1.94
2.1
September'17
August'17
July'17
June'17
2.01
1.9
1.83
2
1.89
1.78
1.71
1.88
1.86
1.75
1.68
1.84
1.96
1.85
1.78
1.9
May'17
April'17
March'17
February'17
2.01
1.9
1.83
1.97
1.95
1.84
1.77
1.95
2.03
1.92
1.85
2.02
2
1.89
1.82
2
T1:Measurements of central tendency?
T2:measurements of Dispersion ?
T3:comment on data. A student must write about his
observation on price of oil over period of time?

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Please help with my stats hw
Salary ERA J. Santana 17.0 2.53 C. Lee 4.0 2.54 T. Lincecum 0.4 2.62 C. Sabathia 11.0 2.7 R. Halladay 10.0 2.78 J. Peavy 6.5 2.85 D. Matsuzaka 8.3 2.9 R. Dempster 7.3 2.96 B. Sheets 12.1 3.09 C. Hamels 0.5 3.09
Xx 57.9 35.3 55.7 57.5 55.1 55.6 51.7 60.3 49 46.6 -132.1 44.7 249.5 29.2 -618.1 35.1 -593.9 49.6 -251.2 153.6 -4857.4 y -546.3 -225.1 T = -46 795 55 151.6 -5.3 612.9 273.3 Use your graphing calculator to determine the correlation coefficient for this data set. Round your answer to the nearest thousandth.
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C is for cabbage - A researcher wants to know if the head weight of the cabbage is a good predictor for ascorbic acid (vitamin C) content. From a random sample of 60 cabbages, the researcher recorded the ascorbic acid content in milligrams and the weight of the cabbage head in pounds. Head weight is the X variable and Ascorbic acid content is the Y variable in this scenario. R output Coefficients: Estimate Std. Error t value (Intercept) 77.574 HeadWeight -7.567 Pr(>ltl) < 2e-16 *** 9.75e-09 *** 3.096 25.052 1.131 -6.689 --- Residual standard error: 7.668 on 58 degrees of freedom Multiple R-squared: 0.4355, Adjusted R-squared: 0.4257 F-statistic: 44.74 on 1 and 58 DF, p-value: 9.753e-09 The equation of the estimated regression line written as Blank #1 Blank #2 + Blank #3 X. %3D Match what goes in the Blank #1, Blank #2 and Blank #3 in the equation above. 1. 77.574 2. 3.096 3. 25.052
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Calculate my average exam 1=35 exam 2= 47 exam 3=67 exam 4= 80.625 homework 1b = 95.14 homework 2a= 98.42 homework 2b= 98.36 homework 3a = 97.15 homework 3b= 97.94 homework 4a= 99.49 homework 4b = 97.54 homework 5a= 92.35 homework 5b=92.80 homework 6= 95.71 homework 7a = 94.70 homework 7b = 94.84 homework 8a = 84.86 homework 8b = 94.02 homework 9a= 79.06 Achieve practice 1a= 100 achieve practice 1b= 100 achieve practice 2a =100 achieve practice 2b= 100 achieve practice 3a =100 achieve 3b = 100 achieve practice 4a= 100 achieve practice 5a= 100 achieve practice 5b = 100 achieve practice 6 = 100 achieve practice 7a = 100 achieve practice 7b = 100 achieve practice 8a= 100 achieve practice 8b = 100 achieve practice 9a= 100 achieve practice 9b = 0 recitation= 93
5.21/6.5
8.1-2 7 part 1 please help thank you
First Die 4 6. 1 3 4 6. 7 3 4 5. 6. 7. 8. 4 5. 6. 7 8. 9. 4 6. 7. 8. 9. 10 5 6. 8 6. 10 11 8. 9. 10 11 12 419 t in 47 Second Die
how to calculate the residual value? Service Subscriptions Web Page Hits Adv Price 1 37.95 588.9 13.2 35.1 2 37.66 585.3 13.2 34.7 3 37.55 566.3 19.8 34.8 4 38.78 642.9 17.6 35.1 5 37.67 624.2 17.6 34.6 6 38.23 603.9 15.4 34.8 7 36.9 571.9 11 34.7 8 38.28 584.3 28.6 35.3 9 38.95 605 28.6 35.1 10 39.27 676.3 17.6 35.6 11 38.3 587.4 17.6 34.9 12 38.84 576.4 22 35.4 13 38.14 570.8 17.6 35 14 38.39 586.5 15.4 35.5 15 37.29 544 11 34.9 16 39.15 611.1 24.2 35 17 38.29 643.3 17.6 35.3 18 38.09 635.6 19.8 34.8 19 37.83 598.9 15.4 35.1 20 39.37 657 22 35.3 21 37.81 595.2 15.4 35.1 22 37.42 520 19.8 35.1 23 38.83 629.6 22 35.3 24 38.33 680 24.2 34.7 25 40.24 651.2 33 35.8