Reference no: EM133494
QUESTION 1
To compare commuting eras in various locations, independent random examples were obtained from the six cities presented in the Longest Commute to Work graphic on page 255 in your textbook. The examples were from workers who commute to work during the 8:00 a.m. rush hour. Oneway Travel to Work in Minutes
Atlanta

Boston

Dallas

Philadelphia

Seattle

St. Louis

29

18

42

29

30

15

21

37

25

20

23

24

20

27

26

33

31

42

15

25

32

37

39

23

37

32

20

42

14

33

26

34

26

18

48

35

a) Construct a graphic representation of the data using six sidbyside dotplots.
ST.LOUIS ? ? ? ? ?
SEATTLE? ? ? ?
PHIL ? ? ? ? ?
DALLAS ? ? ? ? ?
BOSTON ? ? ? ? ? ?
ATLANTA ? ? ? ? ? ?
10 15 20 25 30 35 40 45 50
b) Visually approximation the mean commute time for each city and locate it with an X.
c) Does it seem that different cities have different effects on the average amount of time spent by workers who commute to work during the 8:00 a.m. rush hour? Explain.
d) Does it visually seem that different cities have different effects on the variation in the amount of time spent by workers who commute to work during the 8:00 a.m. rush hour? Explain.
Part 2
a) Compute the mean commute time for each city depicted.
b) Does there look to be a difference among the mean oneway commute times for these six cities?
c) Compute the standard deviation for each city's commute time.
d) Does there look to be a difference among the standard deviations between the oneway commute times for these six cities?
Part 3
a) Construct the 95% confidence intermission for the mean commute time for Atlanta and Boston.
b) xbar: Sample mean = 28.6
c) s: Sample = 8.6
n: Number of samples = 36
df: degrees of freedom = 35
significant digits = 1
28.6 ± 2 * 8.6/SQRT=36 = 25.7, 31.5
d) Established on the confidence intervals found does it appear that the mean commute time is the same or different for these two cities (Atlanta and Boston). Elucidate
e) Yes, because Interstate 90 is the lengthiest of the eastwest U.S. interstate highways with its 3,122 miles stretching from Boston, MA at I93 on the eastern end to Seattle WA at the Kingdome on the western end. It travels across 13 northern states the number of miles and number of intersections in each of those states is listed below
f) Build the 95% confidence interval for the mean commute time for Dallas.
g) Based on the confidence intervals originate in (Atlanta and Boston) and Dallas does it appear that the mean commute time is the same or different for Boston and dalls? Explain.
h) Based on the confidence levels originate in (Atlanta and Boston) and (Dallas) does it appear that the mean commute time is the same or different for the set of three cities, Atlanta, Boston, and Dallas? Explain
i) How does your confidence intervals compare to the intervals given for Atlant, Boston, and Dallas in Longest Commute to Work on page 255?
Question 2
Interstate 90 is the longest of the eastwest U.S. interstate highways with its 3,112 miles stretching from Boston, MA at I93 on the eastern end to Seattle WA at the Kingdome on the western end. It travels across 13 northern states; the number of miles and number of intersections in each of those states is listed below.
State

No. of Inter

Miles

WA

57

298

ID

15

73

MT

83

558

WY

23

207

SD

61

412

MN

52

275

WI

40

188

IL

19

103

IN

21

157

OH

14

47

PA

14

47

NY

48

391

MA

18

159

a) Create a scatter diagram of the data
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b) Discover the equation for the line of best fit using x= miles and y=intersections
Y = 4.64698929 + 0.138364119(X)
c) Using the equation found in part (b) approximation the average number of intersections per mile along I90 The "average" will take place at the point where the "residual equals zero". I think subsequently the residual equal zero, then the intersections average is 38 average.
d) Find a 95% confidence interval for β1.
Y = 4.64698929 + 0.138364119(X)
e) Describe the meaning of the interval found in part d
I consider since the value 0 is excluded from the Interval then there must be a positive relationship between x and y