Answer all questions III. Consider the sixty-day sales at Chemaphy's RTW Shoppe.15 40 42 50 3624 36 42 52 6261 1816 535442ci=245232W=2061 54Range=393827515332 48злалтClass IntervalTAEN saOF58Tally fNa47 28 21 42 34 4247565326404358 62325025 6241 426563 683241 48 65 5552 674567 326360XCF≤ CF2 RFLLR8888ULR

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Answered: III. Consider the sixty-day sales at…

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter4: Factors, Fractions, And Exponents

Section: Chapter Questions

Problem 10CST

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A flight travels daily from Pittsburgh to San Antonio. The following list gives the arrival time relative to the scheduled arrival time (in minutes) for a selection of 17 days. (A negative number means that the flight arrived early.) −6, −4, −4, −2, −1, 1, 2, 4, 5, 6, 6, 9, 12, 19, 21, 27, 35 Send data to calculator Frequency 8 6 4 2₁ 0- HH -10 5 Send data to Excel 7 Answer the questions below. 2 0 10 20 30 Arrival time relative to 5:07 (in minutes) (a) For these data, which measures of central tendency take more than one value? Choose all that apply. (b) Suppose that the measurement 35 (the largest measurement in the data set) were replaced by 72. Which measures of central tendency would be affected by the change? Choose all that apply. 2 (c) Suppose that, starting with the original data set, the smallest measurement were removed. Which measures of central tendency would be changed from those of the original data set? Choose all that apply. 40 Mean Median Mode None of these measures…
A second-hand car dealer wants to investigate the relationship between the price of the car (in RM000) and the mileage travelled (000km). He randomly selected 10 cars from his workshop and the data collected are shown in the table below. Mileage (000km) Price (RM000) 18 22 25 30 42 38 50 58 65 74 56 54 48 40 43 35 27 25 19 15 ΣΧ-422, ΣΥ- 362, ΣΧ-21106, ΣΥ-14970, ΣχY -12877 %3D Use a relevant measurement to describe the relationship between the price of the car and the mileage travelled.
To answer item 17 to 23, use MS Excel data analysis Consider the following data set, in which a maker of asphalt shingles is interested in the relationship between sales for a particular year and factors that influence sales. X1 - promotional accounts ; X3 - Competing brands X2 - Active accounts; X4 - Potential and Y - sales in thousands of $ The multiple correlation in 2 decimal places shows O Worse linear relationship. O Better linear relationship. O no correlation O Perfect linear relationship
uje Sp8. A company launched a sales campaign and appointed 110 salesmen for this purpose. At the end of ine period the sales results were analysed and the following information was obtained. Sales ('000 Rs.) Number of Salesmen Sales ('000 Rs.) Number of Salesmen 50-55 4 75-80 18 55-60 60-65 80-85 12 10 85-90 65-70 20 90 and above 70-75 22 00 N O5
Count of Income Educ. 4 Grand Total 426 355 119 900 Income 2 3. 55 33 1 169 141 61 75 39 175 2 125 122 4 33 43 Grand Total 92 327 306
identify any column in the table with data at the interval level. how can the data be ordered?
The box plot to the left illustrates time spent studying per month for students from the years 2000 and 2010. Below are three incorrect statements. Please explain 2000- 2010 why the statements are incorrect. 11 13 15 17 19 21 23 25 27 29 a) The year 2000 had the largest IQR. b) The median for the year 2010 was 20 hours studied per month. c) The range for the year 2010 was 21 Subril El diagrama de caja de la izquierda ilustra el tiempo dedicado al estudio por mes para los estudiantes de los años 2000 y 2010. A continuación se muestran tres afirmaciones incorrectas. Explique por qué las declaraciones son incorrectas. a) El año 2000 tuvo el IQR más grande. b) La mediana del año 2010 fue de 20 horas estudiades nor mes DELL
The last line got cut off but you can still see the #'s at the bottom.
please explain
Do part c of question two *only*!!!! Please.
y 50.5 -475 41.3 1392.1 5.4 489.8 54.7 604.1 20.5 1389.4 22 -542 7.4 -53.9 45.1 -409.6 40.8 514 -4.1 458.9 32.1 600.8 17.2 -789.3 41.7 1672.8 49.4 660.7 231.1 -8175.6 Use your graphing calculator to determine the correlation coefficient for this data set. Round your answer to the nearest thousandth. r =
A mixture of sucrose and water was heated on a hot plate, and the temperature (in "C) was recorded each minute for 20 minutes by three thermocouples. The results are shown in the following table. Time I1 Iz I3 20 18 21 18 22 11 29 32 37 36 10 64 11 72 12 79 80 13 84 74 75 14 82 87 78 15 87 93 88 16 98 90 91 17 103 100 103 18 101 98 109 19 103 103 107 20 102 103 104 Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. a. b. Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. C. It is desired to compute a single line to estimate temperature as a function of time. One person suggests averaging the three slope estimates to obtain a single slope estimate, and averaging the three intercept estimates to obtain a single intercept…

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III. Consider the sixty-day sales at Chemaphy's RTW Shoppe. 40 42 ci= 20 Range= W= 25430 3.8 Class Interval TA EN SA STA Tally Ma 67 63 25544 TO YOURSE CF< X f ON CF RF LLR 06 C 88 UL