STATS:DATA+MODELS-MY LAB ACC >CUSTOM<
21st Edition
ISBN: 9780137643127
Author: DeVeaux
Publisher: PEARSON
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Chapter 2, Problem 58E
To determine
Identify the distribution of the number of deaths in the in United States during floods from 1995 through 2015.
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In a study of 70 undergraduate students and 47 graduate students, the undergraduates had a mean
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students had a mean of 6.6255 hours with a standard deviation of 1.8992 hours.
Use StatCrunch and a significance level of 0.05 to run the t-test.
What is the test statistic?
What is the p-value associated with that test statistic?
Give the most appropriate conclusion in context
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1
14
Agricultural scientists try to predict corn
sed production by using annual rainfall. They
measure crop yields (bushels per acre) and
besnil annual rainfall (inches) for 150 one-acre
Xlo plots; you can see the summary of statistics
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Identify the X variable and the Y variable
in this problem.
b. Find and try to interpret the slope in the
en adi gnis context of corn and rainfall. (More prac-
qo X to tice on interpretation in the next section.)
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Mean Standard Correlation
Deviation
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Corn
150.77 19.76
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14
Agricultural scientists try to predict corn
dm production by using annual rainfall. They
sb measure crop yields (bushels per acre) and
annual rainfall (inches) for 150 one-acre
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in this problem.
b. Find and try to interpret the slope in the
or gris context of corn and rainfall. (More prac-
03 X to tice on interpretation in the next section.)
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Corn
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Chapter 2 Solutions
STATS:DATA+MODELS-MY LAB ACC >CUSTOM<
Ch. 2.3 - You may be surprised to find that you already have...Ch. 2.3 - Prob. 2JCCh. 2.3 - Prob. 3JCCh. 2.3 - Prob. 4JCCh. 2.3 - Prob. 5JCCh. 2.5 - Prob. 6JCCh. 2.5 - Prob. 7JCCh. 2.5 - Prob. 8JCCh. 2 - Prob. 1ECh. 2 - 2. Nonoccupant fatalities The frequencies of...
Ch. 2 - 3. Movie genres The pie chart summarizes the...Ch. 2 - 4. Movie ratings The Motion Picture Association of...Ch. 2 - Prob. 5ECh. 2 - 6. Marriage in decline Changing attitudes about...Ch. 2 - 7. Traffic fatalities 2013 Here are two histograms...Ch. 2 - 8. Traffic fatalities 2013 again Here are the same...Ch. 2 - Prob. 9ECh. 2 - Prob. 10ECh. 2 - 11. E-mails A university teacher saved every...Ch. 2 - 12. Adoptions The U.S. Census Bureau keeps track...Ch. 2 - Prob. 13ECh. 2 - Prob. 14ECh. 2 - Prob. 15ECh. 2 - Prob. 16ECh. 2 - Prob. 17ECh. 2 - Prob. 18ECh. 2 - Prob. 19ECh. 2 - Prob. 20ECh. 2 - Prob. 21ECh. 2 - 22. Adoptions III For the number of adoptions in...Ch. 2 - Prob. 23ECh. 2 - Prob. 24ECh. 2 - 33. Thinking about shape Would you expect...Ch. 2 - 34. More shapes Would you expect distributions of...Ch. 2 - Prob. 35ECh. 2 - Prob. 36ECh. 2 - Prob. 37ECh. 2 - Prob. 38ECh. 2 - Prob. 39ECh. 2 - Prob. 40ECh. 2 - Prob. 41ECh. 2 - Prob. 42ECh. 2 - Prob. 43ECh. 2 - Prob. 44ECh. 2 - 45. Cereals The histogram shows the carbohydrate...Ch. 2 - Prob. 46ECh. 2 - 47. Heart attack stays The histogram shows the...Ch. 2 - 48. *Bird species 2013 The Cornell Lab of...Ch. 2 - 49. Super Bowl points 2016 How many points do...Ch. 2 - 50. Super Bowl edge 2016 In the Super Bowl, by how...Ch. 2 - Prob. 51ECh. 2 - Prob. 52ECh. 2 - Prob. 53ECh. 2 - 54. Sick days During contract negotiations, a...Ch. 2 - 55. Floods 2015 Here are the annual numbers of...Ch. 2 - 56. Tornadoes 2015 Here are the annual numbers of...Ch. 2 - Prob. 57ECh. 2 - Prob. 58ECh. 2 - Prob. 59ECh. 2 - 60. Neck size The histogram shows the neck sizes...Ch. 2 - Prob. 61ECh. 2 - 62. Neck sizes again Look again at the histogram...Ch. 2 - 63. Movie lengths 2010 The histogram shows the...Ch. 2 - 64. Golf drives 2015 The display shows the average...Ch. 2 - Prob. 65ECh. 2 - Prob. 66ECh. 2 - Prob. 67ECh. 2 - Prob. 68ECh. 2 - Prob. 69ECh. 2 - Prob. 70ECh. 2 - Prob. 71ECh. 2 - Prob. 72ECh. 2 - Prob. 73ECh. 2 - 74. Major hurricanes 2013 The following data give...Ch. 2 - Prob. 75ECh. 2 - Prob. 76ECh. 2 - Prob. 77ECh. 2 - Prob. 78ECh. 2 - Prob. 79ECh. 2 - Prob. 80ECh. 2 - Prob. 81ECh. 2 - Prob. 82ECh. 2 - Prob. 83ECh. 2 - 84. Boomtowns 2015 In 2015, the website...Ch. 2 - Prob. 85ECh. 2 - Prob. 86E
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- 13 A wol number of putts hit for 100 rounds of golf an amateur plays; you can see the summary of guig statistics in the following table. (See the anteu figure in Question 3 for a scatterplot of this nobis data.) moitoloqorxs bel nedW Diplogos bello al silos a. Is it reasonable to use a line to fit this data? Explain. b. Find the equation of the best fitting pl97 1590 regression line. zazumɔ X ni ogrados em noob Y to sul Variablem Mean Standard Correlation E Deviation 870 Total score (Y) 93.900 7.717 0.896 1211 Putts hit (X) 35.780 4.554 tot anolinibong solam riss uoy X to asulsy doldw grib onil edi 08,080.0 xl notion ofT.A od? How atharrow_forwardbropupme 7 Using the toddler data table in Question 1, describe the toddlers in the sample with joint101 probabilities only. It TOTAL: 4+24+2+12=42 (mn LH) 4/42 = 2/21=0.0952 adrat aoismet to nothogong ad d zon xe jooge fox (D) rots (300): 60 erit 15:arrow_forward12 A medical researcher measures bone density and the age of 125 women; you can see the d of summary of statistics in the following table. (See the figure in Question 2 for a scatterplot of this data.) D 30 a. How well will a line fit this data? b. Find the equation of the best fitting regression line. Variable Mean Standard Correlation Y Deviation Bone loss (Y) 35.008 7.684 0.574 Age (X) 1967.992 10.673 Lasarrow_forward
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- 8 Tell whether the following statement is true or false: "The correlation between height and weight is 0.6, so the correlation between weight and height is -0.6." 3) SE.S sta gaisaloi glad been boy t Fotsivab 503 ए)arrow_forward6 Match each of the following correlations to their corresponding scatterplot in the following figure: 0.90, 0.39, -0.74, and 0.57. Scatterplot #1 Scatterplot #2 Scatterplot #3 Scatterplot #4 .arrow_forward(x) to ad 3 Describe the relationship between X and Ymwo od shown by the scatterplot in the following d goy,[figure. Yb X sawas Scatterplot of Total Score vs. Putts 120 110- 100 90 Total Score 80 70 20 25 30 900 2 35 40 45 50 Puttsarrow_forward
- 2 50 Describe the relationship between X and Y shown by the scatterplot in the following figure. Scatterplot of Bone Loss vs. Age Bone Loss 30 40 D) 20 bro's me 10 50 60 70 Age 80 90arrow_forward1 Describe the relationship between X and Y shown by the scatterplot in the following figure. 70,000 Scatterplot of Coffees Sold vs. Temperature Coffee Sold 60,000 50,000 40,000 30,000 20,000) alev Yad 15 10,000 0 -10 10 0 20 30 40 50 60 70 modiyle Temperature (in Fahrenheit) Xarrow_forwardA classification study involving several classifiers was carried out. After training and the usual validation step, the following table shows results for classifiers tried. In below, classifiers are identified as M1, M2 and so on. Sensitivity Specificity M1 0.82 0.82 M2 0.92 0.72 M3 0.72 0.92 M4 0.46 0.47 M5 0.03 0.16 M6 0.13 0.02 M7 0.33 0.64 M8 0.72 0.24 M9 0.47 0.82 M10 0.06 0.84 The following list has statements about the classifiers. In the list, there is a single incorrect statement. Please identify the incorrect statement. Hint 1: recall that a classifier dominates another if both performance measures are better. Hint 2: to help you visualize and compare classifiers, you may want to plot the classifier data in a ROC graph (which will not be submitted). Select one: Qa. O b. Oc. d. By swapping zeroes and ones, M5 can be worsened M8 does not dominate M9 M1 dominates all of M4, M5 and M6 M1 is a good classifier ? e. By swapping zeroes and ones, the performance of M4 does not change…arrow_forward
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