98.0 99.0 98.4 98.4 98.4 98.4 98.6 C. Would you expe 15. Blood alcohol concentrations of drivers involved in fatal crashes (data from the U.S. Department of Justice): or right-skewed? E d. Would you expe 0.27 0.17 0.17 0.16 0,13 0.24 moderate, or large 0.29 0.24 0.14 0.16 0.12 0.16 27. The exam scc 25 students 16. Golf scores from a recent WPGA tournament: 28. The weights figure skaters afternoon 69 70 70 71 73 73 75 76 76 78 80 81 81 82 83 84 85 86 87 88 29. The annual r throughout t 17. Actual times (in seconds) recorded when statistics students participated in an experiment to test their ability to deter- mine when one minute (60 seconds) had passed: 30. The number 3, 4, 5, 6, 7, 53 52 75 62 68 58 49 49 31. The monthl at a store in 18. Weights (in grams) of randomly selected M&M plain candies: best if you s 0,957 0912 0842 0.925 0.939 0.886 32. The weights inventory cc consists of s 0914 0,913 0.958 0.947 0.920 19. Outlier Coke. Cans of Coca-Cola vary slightly in weight. Here are the measured weights of seven cans, in pounds: R 33. The prices c 34. The ages of 0.8161 0.8194 0.8165 0.8176 35-36: Underst. 0.7901 0.8143 0.8126 briefly describe Find the mean and median of these weights. Which, if any, of these weights would you consider to be an outlier? What are the mean and median weights if the outlier is excluded? 35. Exam resul low score = 36, Exam resul low score = 20. Margin of Victory. The following data give the margin of victory in the Super Bowl for 2003-2013. FURTHER A 27 3 3 1l 12 3 14 á * 3 37-39: Smooth smooth curve tl a. Find the mean and median margin of victory. b. Identify the outlier(s) in the set. If you eliminate the outlier(s), what are the new mean and median? distribution acc ness, and variat Frequency Frequency 2. 60 distributio c. If you n drawings, 50 40 d. If you r drawings look like 30 20 10 180 0. 100 110 160 50 60 70 80 90 140 Times (minutes) 120 FIGURE 6.7 Source: Hand et al., Handbook of Small Data Sets, 1994. 100 38. Time until failure for a sample of 108 computer chips that failed, shown in Figure 6.8 80 60 40 Failure Time of Computer Chips 20 50 0. 45 40 FIGURE 6 35 30F 41. Famil rando 25 famil 20 the h 15 respe 10- a. Dr clear bonog 0. Hool v 6. 8. 10 12 left-9 Times (months) b. H FIGURE 6.8 Source: Hand et al., Handbook of Small Data Sets, 1994. $45 39. Weights of a sample of 391 rugby players, shown in Figure 6.9 C. B mar bool goble o br Weight of Rugby Players 42. Airl 70 air du has 60 the

98.0 99.0 98.4 98.4 98.4 98.4 98.6 C. Would you expe 15. Blood alcohol concentrations of drivers involved in fatal crashes (data from the U.S. Department of Justice): or right-skewed? E d. Would you expe 0.27 0.17 0.17 0.16 0,13 0.24 moderate, or large 0.29 0.24 0.14 0.16 0.12 0.16 27. The exam scc 25 students 16. Golf scores from a recent WPGA tournament: 28. The weights figure skaters afternoon 69 70 70 71 73 73 75 76 76 78 80 81 81 82 83 84 85 86 87 88 29. The annual r throughout t 17. Actual times (in seconds) recorded when statistics students participated in an experiment to test their ability to deter- mine when one minute (60 seconds) had passed: 30. The number 3, 4, 5, 6, 7, 53 52 75 62 68 58 49 49 31. The monthl at a store in 18. Weights (in grams) of randomly selected M&M plain candies: best if you s 0,957 0912 0842 0.925 0.939 0.886 32. The weights inventory cc consists of s 0914 0,913 0.958 0.947 0.920 19. Outlier Coke. Cans of Coca-Cola vary slightly in weight. Here are the measured weights of seven cans, in pounds: R 33. The prices c 34. The ages of 0.8161 0.8194 0.8165 0.8176 35-36: Underst. 0.7901 0.8143 0.8126 briefly describe Find the mean and median of these weights. Which, if any, of these weights would you consider to be an outlier? What are the mean and median weights if the outlier is excluded? 35. Exam resul low score = 36, Exam resul low score = 20. Margin of Victory. The following data give the margin of victory in the Super Bowl for 2003-2013. FURTHER A 27 3 3 1l 12 3 14 á * 3 37-39: Smooth smooth curve tl a. Find the mean and median margin of victory. b. Identify the outlier(s) in the set. If you eliminate the outlier(s), what are the new mean and median? distribution acc ness, and variat Frequency Frequency 2. 60 distributio c. If you n drawings, 50 40 d. If you r drawings look like 30 20 10 180 0. 100 110 160 50 60 70 80 90 140 Times (minutes) 120 FIGURE 6.7 Source: Hand et al., Handbook of Small Data Sets, 1994. 100 38. Time until failure for a sample of 108 computer chips that failed, shown in Figure 6.8 80 60 40 Failure Time of Computer Chips 20 50 0. 45 40 FIGURE 6 35 30F 41. Famil rando 25 famil 20 the h 15 respe 10- a. Dr clear bonog 0. Hool v 6. 8. 10 12 left-9 Times (months) b. H FIGURE 6.8 Source: Hand et al., Handbook of Small Data Sets, 1994. $45 39. Weights of a sample of 391 rugby players, shown in Figure 6.9 C. B mar bool goble o br Weight of Rugby Players 42. Airl 70 air du has 60 the

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 11PPS

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Topic Video

Question

Could you help me with question 18,19 and 38

for 18 I got

mean- 0.919

median-0.92

mode- no mode?

98.0 99.0
98.4 98.4 98.4 98.4 98.6
C. Would you expe
15. Blood alcohol concentrations of drivers involved in fatal
crashes (data from the U.S. Department of Justice):
or right-skewed? E
d. Would you expe
0.27 0.17 0.17 0.16 0,13 0.24
moderate, or large
0.29 0.24 0.14 0.16 0.12 0.16
27. The exam scc
25 students
16. Golf scores from a recent WPGA tournament:
28. The weights
figure skaters
afternoon
69
70 70 71 73 73 75 76 76 78
80 81 81 82 83 84 85 86 87 88
29. The annual r
throughout t
17. Actual times (in seconds) recorded when statistics students
participated in an experiment to test their ability to deter-
mine when one minute (60 seconds) had passed:
30. The number
3, 4, 5, 6, 7,
53 52 75
62 68 58 49 49
31. The monthl
at a store in
18. Weights (in grams) of randomly selected M&M plain candies:
best if you s
0,957 0912 0842 0.925 0.939 0.886
32. The weights
inventory cc
consists of s
0914 0,913 0.958 0.947 0.920
19. Outlier Coke. Cans of Coca-Cola vary slightly in weight. Here
are the measured weights of seven cans, in pounds: R
33. The prices c
34. The
ages
of
0.8161 0.8194 0.8165 0.8176
35-36: Underst.
0.7901 0.8143 0.8126
briefly describe
Find the mean and median of these weights. Which, if
any, of these weights would you consider to be an outlier?
What are the mean and median weights if the outlier is
excluded?
35. Exam resul
low score =
36, Exam resul
low score =
20. Margin of Victory. The following data give the margin of
victory in the Super Bowl for 2003-2013.
FURTHER A
27 3 3 1l 12
3 14 á * 3
37-39: Smooth
smooth curve tl
a. Find the mean and median margin of victory.
b. Identify the outlier(s) in the set. If you eliminate the
outlier(s), what are the new mean and median?
distribution acc
ness, and variat

Frequency
Frequency
2.
60
distributio
c. If you n
drawings,
50
40
d. If you r
drawings
look like
30
20
10
180
0.
100 110
160
50 60
70
80 90
140
Times (minutes)
120
FIGURE 6.7 Source: Hand et al., Handbook of Small Data Sets, 1994.
100
38. Time until failure for a sample of 108 computer chips that
failed, shown in Figure 6.8
80
60
40
Failure Time of Computer Chips
20
50
0.
45
40
FIGURE 6
35
30F
41. Famil
rando
25
famil
20
the h
15
respe
10-
a. Dr
clear
bonog
0.
Hool v
6.
8.
10 12
left-9
Times (months)
b. H
FIGURE 6.8 Source: Hand et al., Handbook of Small Data Sets, 1994.
$45
39. Weights of a sample of 391 rugby players, shown in Figure 6.9
C. B
mar
bool goble
o br
Weight of Rugby Players
42. Airl
70
air
du
has
60
the

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

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