Question

A city police officer using radar checked the speed of 26 cars
as they were travelling down a city street and the data is given as
below:

27 23 22 38 43 24 25 23 22 54 31 30 29 48 27 25 29 28 26 33 25 21
23 34 20 23 It is most like that the distribution of the dataset
is

Answer #1

Dataset:
Husband Wife
53 50
38 34
46 44
30 36
31 23
26 31
29 25
48 51
65 46
29 26
28 23
29 32
25 22
22 21
21 24
43 50
24 27
38 33
33 26
35 29
40 29
27 25
27 24
49 38
48 39
27 27
26 24
40 34
35 37
21 26
32 39
30 28
60 52
36 40
25 23
66 55
52 34
41 40
43 ...

We want to compare the
average gas mileage of American-made cars vs. Japanese-made
cars.
The claim is that the Japanese cars and American cars do not get
the same gas mileage.
Use the list data below to test the hypothesis that the Japanese
cars and American cars do not get the same gas mileage.
The American cars are in list1 and the Japanese cars in list2
below
We do not know whether the mileages are normally distributed or
not, but...

descriptive statistics
for the given data
4 8 18 20 21 22 23 24 25 26 27 28 29 30 31 31 32 32 33 33 34 35 36
37 38 39 47 53

Is there a significant difference in mean Highway MPG between
expensive and cheap cars?
I understand that I must conduct a hypothesis test and
confidence interval for two means. I have found the mean for cheap
cars to be 33.6, the standard deviation 5.57; the mean for
expensive cars 26.1, the standard deviation 2.14. Please use the
appropriate formulas in order to determine if there is a
significant difference.
Price_Category
HighwayMPG
Price_Category
HighwayMPG
Cheap
34
Expensive
25
Cheap
46
Expensive...

Is there a significant difference in mean Highway MPG between
expensive and cheap cars?
I understand that I must conduct a hypothesis test and
confidence interval for two means. I have found the mean for cheap
cars to be 33.6, the standard deviation 5.57; the mean for
expensive cars 26.1, the standard deviation 2.14. Please use both
the critical values method and p-value method to determine if there
is a significant difference. Be mindful of outliers (cheap cars
outlier=50, expensive...

The results of a sample of 372 subscribers
toWiredmagazine shows the time spent using the Internet
during the week. Previous surveys have revealed that the population
standard deviation is 10.95 hours. The sample data can be found in
the Excel test data file.
What is the probability that another sample of 372 subscribers
spends less than 19.00 hours per week using the Internet?
Develop a 95% confidence interval for the population mean
If the editors of Wiredwanted to have the...

The Department of Energy provides fuel economy ratings for all
cars and light trucks sold in the United States. Offered are the
estimated miles per gallon for city driving for the 186 cars
classified as midsize in 2016, arranged in increasing order: 11 11
11 12 13 13 13 14 14 14 14 14 15 15 15 15 15 15 16 16 16 16 16 16
16 16 16 16 16 16 16 17 17 17 17 17 17 18...

Person
number
X
Value
Y
Value
Person number
X
Value
Y
Value
Person number
X
Value
Y
Value
1
24
30
11
39
42
21
21
27
2
42
53
12
60
65
22
33
29
3
20
27
13
34
40
23
25
27
4
31
30
14
24
26
24
22
25
5
22
24
15
51
57
25
28
33
6
46
47
16
80
83
26
34
40
7
52
60
17
28
27
27
53...

____________________________________________
The results of a sample of 372 subscribers to Wired
magazine shows the time spent using the Internet during the week.
Previous surveys have revealed that the population standard
deviation is 10.95 hours. The sample data can be found in the Excel
test data file.
What is the probability that another sample of 372 subscribers
spends less than 19.00 hours per week using the Internet?
____________________________________________
Develop a 95% confidence interval for the population mean
____________________________________________
If the editors...

6. Using the class data (see Blackboard file - "Class Survey
Data - PSS-10 and GAS") calculate the correlation between the GAS –
Goal disengagement and the GAS – Goal reengagement scores. Write
the results in a statistical statement.
7. Using the class data calculate the correlation between the
GAS – Goal disengagement and the PSS-10 scores. Write the results
in a statistical statement.
8. Using the class data calculate the correlation between the
GAS – Goal reengagement scores and...

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