Question
In: Statistics and Probability
You are asked to analyze the below speed data collected on a highway on different days...
You are asked to analyze the below speed data collected on a highway on different days of the week for similarity. Use ANOVA (analysis of variance) to support your conclusion by performing the following tasks:
|
Sample 1 (mph) |
Sample 2 (mph) |
Sample 3 (mph) |
|
50 |
45 |
55 |
|
55 |
50 |
60 |
|
50 |
55 |
50 |
|
50 |
60 |
45 |
|
60 |
40 |
40 |
State your null hypothesis (H0) and alternative hypothesis (H1)
State your assumed level of significance (αα)
Calculate mean for sample 1
Calculate mean for sample 2
Calculate grand mean for sample 1 & 2
Calculate SSB (between sample sum of square errors) and the associated degree of freedom
Calculate SSW (within sample sum of square errors) and the associated degree of freedom
Calculate SST (total sample sum of square errors) and the associated degree of freedom (Hint: this validates the accuracy of your calculated SSB and SSW values)
Calculate the F value
State the critical F value (table value based on your assumed level of significance)
Make your conclusion whether or not the speed reduction strategy was effective and state why?
Answer by hand not excel please.
Solutions
orchestra answered 2 years agoRelated Solutions
You are asked to analyze the below speed data collected on a highway on different days...
You are asked to analyze the below speed data collected on a
highway on different days of the week for similarity. Use ANOVA
(analysis of variance) to support your conclusion by performing the
following tasks:
Sample 1 (mph)
Sample 2 (mph)
Sample 3 (mph)
50
45
55
55
50
60
50
55
50
50
60
45
60
40
40
State your null hypothesis (H0) and alternative hypothesis
(H1)
State your assumed level of significance (αα)
Calculate mean for sample 1...
The data below was collected from manufacturer advertisements of their vehicles horsepower and highway gas mileage...
The data below was collected from manufacturer advertisements of
their vehicles horsepower and highway gas mileage (mpg.). Use this
data to answer the following questions.
x
158
250
340
350
390
190
220
y
33
28
15
17
11
35
42
1. Find the the correlation coefficient. Round your final answer to
four decimal places.
r=r=
2. Write the regression equation below. Round all numbers to four
decimal places.
ˆy=y^=
3. Using the data shown above,predict the the highway gas...
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As a data scientist of a company, you want to analyze the
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in thousands of dollars. The following table shows this
relationship
Advertising Expenditure (A)
Total Sales (S)
18.6
312
18.8
322
18.8
333
18.8
317
19
301
19
320
19.2
305
Using Advertising expenditure (A) as the domain and Total Sales
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1. An engineer collected the data below showing the speed, s, of a Toyota Camry and...
1. An engineer collected the data below showing the speed, s, of
a Toyota Camry and its average miles per gallon, M
Speed, s
30
35
40
40
45
50
55
60
65
65
70
Mpg, M
18
20
23
25
25
28
30
29
26
25
25
a. Plot the data above, treating speed as the independent
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You want to determine the speed limit for a local highway. Distribution data for the driving...
You want to determine the speed limit for a local highway.
Distribution data for the driving speed on a given street is given
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You want to determine the speed limit for a local highway. Distribution data for the driving...
You want to determine the speed limit for a local
highway.
Distribution data for the driving speed on a given street is
given below; all speeds have been rounded to the nearest
integer.
Speed(x)
Car Count
39
8
40
8
41
24
42
24
43
48
44
96
45
208
46
200
47
200
48
136
49
16
50
16
51
8
52
0
53
8
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In a quality control test of a highway project, the following data was collected as shown...
In a quality control test of a highway project, the following
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percentage of bitumen absorption is 0.45%, The percentage of binder
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Aggregate effective specific gravity?
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In this week's discussion preparation, you were asked to analyze the different problems with allied professional...
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