In a study, the data you collect is miles per gallon of cars.Is this data quantitative or qualitative?O quantitativeO qualitative

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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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Use the histogram below to approximate the mode heart rate of adults in the gym. Heart Rates of Adults Frequency 45 40 35 10 5 55 60 65 70 75 80 85 Heart rate (beats per minute) 0 0 0 A. 70 B. 55 OC. 2 D. 42
A local construction company is trying to reduce costs. It found that the price of steel bars varies considerably from manufacturer to manufacturer. The table below shows the cost of one steel bar from different manufacturers. Calculate the IQR. Cost for One Steel Bar Emerson $4.31 Mannix $6.20 United $5.67 American $2.79 National $3.20 Pracox $3.57 Steelco $5.32 Cost per Steel Bar 7 6 4 3 2 1 O $2.47 O $2.53 O $4.32 O $5.36
A survey taken in a hotel shows the number of cups of coffee consumed with each meal.Find the relative frequency corresponding to the meal number 5. Frequency 5 Meal Number 3 3 2 а. 50% b. 20% 30% d. 40%
Find the value of mode from the data given below: Weight (kg) 2 113-1 17 Weight (kg.) No. of students No. of students 93-97 14 5 118-122 12 123-127 17 128-132 98-102 6. 103-107 108-112
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.
Please explain
The table below shows data from a study relating a man's age to the average number of miles he can cover on foot in one hour. Age Miles 18 5.8 25 5.5 32 5.5 39 5.2 46 4.3 53 4.2 60 3.1 67 26 74 1.8
Use Microsoft Excel or other software to create a scatter plot of the relationship between elevation and air density shown in the table below. Add a trend line fit of your choice to the plot and create an empirical model that predicts the density for a value of the elevation. Justify your choice of model fit to the data (i.e., explain what you did and why). Elevation (km) Density (kg/m3) 0 1.225 1 1.112 2 1.007 3 0.9093 4 0.8194 5 0.7364 6 0.6601 8 0.5258 10 0.4135 15 0.1948 20 0.08891 25 0.04008
Rail ridership during the summer months in the North-East is believed to beclosely related to the number of tourists visiting the region. The following tableshows the data on the number of tourists and North-East ridership for the past16 years. (Answer in Excel showing formulas for answers)Year Tourists( in millions) Rail Ridership (in millions) 2000 9 2.32001 4 1.9 2002 7 1.7 2003 5 1.8 2004 12 2.8 2005 13 2.9 2006 14 2.42007 20 4.8 2008 7 1.3 2009 5 1.12010…
A sample of blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values are matched so that 10 subjects each have a systolic and diastolic measurement. Find the coefficient of variation for each of the two samples; then compare the variation. Systolic 119 129 160 97 154 122 117 137 125 118 D Diastolic 80 74 73 54 88 90 58 66 71 81 The coefficient of variation for the systolic measurements is %. (Type an integer or decimal rounded to one decimal place as needed.) The coefficient of variation for the diastolic measurements is %. (Type an integer or decimal rounded to one decimal place as needed.) Compare the variation. The coefficients of variation for each data set are Therefore, the systolic measurements vary V the diastolic measurements.
A chemical engineer studied the relationship between production quality and cost, the results as shown in the table below: Use X – test to find out whether there is an association between production quality and cost ? production quality cost 1 2 4 1 60 25 15 10 66 32 13 9 3 120 40 25 15
Considering yourselves to be observational units, explain why the following are not variables: Average amount of hours worked in the past 24 hours among students in our class. Proportion of students in our class who are first-generation college students Have left-handers read more Harry Potter books, on average, compared to right-handers?

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In a study, the data you collect is miles per gallon of cars. Is this data quantitative or qualitative? Oquantitative O qualitative