Question
In: Statistics and Probability
Two fuel additives are being tested to determine their effect on gasoline mileage. Seven cars were...
Two fuel additives are being tested to determine their effect on gasoline mileage. Seven cars were tested with additive 1 and nine cars were tested with additive 2. Data: Additive 1 - 17.3,18.4, 19.1, 17.7, 17.2, 17.6, 18.5; Additive 2 - 18.7, 18.8, 20.3, 20.0, 21.1, 18.7, 18.8, 20.7, 21.2. The following data show the miles per gallon obtained with the two additives. I am struggling to determine the p-value.
Solutions
orchestra answered 2 years agoRelated Solutions
Two fuel additives are being tested to determine their effect on gasoline mileage. Seven cars were...
Two fuel additives are being tested to determine their effect on
gasoline mileage. Seven cars were tested with additive 1 and nine
cars were tested with additive 2. The following data show the miles
per gallon obtained with the two additives.
Additive 1
Additive 2
17.3
17.7
17.4
18.8
20.1
21.3
15.7
20.0
18.2
22.1
17.6
19.7
17.5
18.8
19.7
21.2
Use α = 0.05 and the MWW test to see whether there is a
significant difference between gasoline mileage...
Two fuel additives are being tested to determine their effect on gasoline mileage. Seven cars were...
Two fuel additives are being tested to determine their effect on
gasoline mileage. Seven cars were tested with additive 1 and nine
cars were tested with additive 2. The following data show the miles
per gallon obtained with the two additives.
Additive 1
Additive 2
18.3
18.7
19.4
18.8
20.1
21.3
15.7
20.0
18.2
23.1
18.6
18.7
17.5
19.8
20.7
19.2
Find the value of the test statistic and p-value.
please do step by step? I saw there was a...
Twenty-five different cars were tested, and their weights (in pounds) and mileage (miles per gallon) were...
Twenty-five different cars were tested, and their weights (in
pounds) and mileage (miles per gallon) were measured. The
regression of mileage on weight has the MINITAB regression output
shown below. Answer parts a-d.
Predictor
Coef
SE Coef
T
P
Constant
49.01549.015
2.5492.549
19.22919.229
0.000
Weight
negative 0.006672−0.006672
0.00078890.0007889
negative 8.457−8.457
0.000
For the prediction equation determine the value of the
y-intercept and the slope?
Interpret the slope in terms of a 1000-pound increase in the
vehicle weight?
Interpret the y-intercept?
In automobile mileage and gasoline-consumption testing, 6 automobiles were road tested for 300 miles in both...
In automobile mileage and gasoline-consumption testing, 6
automobiles were road tested for 300 miles in both city and highway
driving conditions. The following data were recorded for
miles-per-gallon performance. City 16.2 16.7 15.9 14.4 16 16.2
Highway 19.4 20.6 18.3 18.6 18.6 18.7 Use mean, median, and mode to
make a statement about the difference in performance for city and
highway driving. Which area of Statistics helps you to either
validate or disprove such a statement and why?
1. Three different makes of cars were tested for fuel efficiency. For each make of car...
1. Three different makes of cars were tested for fuel
efficiency. For each make of car eighteen automobiles were randomly
selected and subjected to standard driving procedures. Using the
data from the following results compute the between treatments
estimate of σ² and the within treatments estimate of σ². At the
α=.05 level of significance, can the null hypothesis, that all fuel
economies are the same, be rejected? Construct the ANOVA table for
this data. (Use the formulas to compute the...
We are interested in predicting the fuel efficiency (gasoline mileage in mpg) using the weight of...
We are interested in predicting the fuel efficiency (gasoline
mileage in mpg) using the weight of a vehicle in pounds. A random
sample of 12 vehicles is taken. The Excel output is given below.
Use the output and the fact that R2 = 0.640 to answer the following
questions. Coefficients Standard Error t Stat P-value Lower 95%
Upper 95% Intercept 48.409 5.978 8.098 0.000 35.089 61.728 Weight
-0.006 0.002 -4.214 0.002 -0.010 -0.002 Interpret the slope in
context. Find and...
Two different formulations of an oxygenated motor fuel are being tested to study their road octane...
Two different formulations of an oxygenated motor fuel are being
tested to study their road octane numbers. The population variance
of road octane number for formulation 1 is =1.5, and for
formulation 2, it is =1.2. Two random samples of size =15 and =20
are tested, and the mean road octane numbers observed are =89.6 and
=92.5. Assume normality.
a.) Construct a 95% two-sided confidence interval on the
difference in mean road octane number.
b.) If formulation 2 produces a...
Two different formulations of an oxygenated motor fuel are being tested to study their road octane...
Two different formulations of an oxygenated motor fuel are being
tested to study their road octane numbers. The population variance
of road octane number for formulation 1 is =1.5, and for
formulation 2, it is =1.2. Two random samples of size =15 and =20
are tested, and the mean road octane numbers observed are =89.6 and
=92.5. Assume normality.
a.) Construct a 95% two-sided confidence interval on the
difference in mean road octane number.
b.) If formulation 2 produces a...
The ACME Fuel Company is testing three gasoline additives that potentially improve miles per gallon (mpg)....
The ACME Fuel Company is testing three gasoline additives that
potentially improve miles per gallon (mpg). Data on the mpg
increases are listed below.
(a) For each of the three additives, make boxplots, probability
plots, run Anderson-Darling tests, and Shapiro-Wilks tests to check
for normality.
(b) Based the results in part (a), which test (Hartley’s F-max,
Bartlett’s, Levene’s) is best to use to check for a difference
between the variances of mpg increases for the three additives?
(c) Run the...
Two types of medication for hives are being tested to determine if there is a difference...
Two types of medication for hives are being tested to determine
if there is a difference in the proportions of adult
patient reactions. Twenty out of a random sample
of 200 adults given medication A still had hives 30
minutes after taking the medication. Twelve out of
another random sample of 180 adults given
medication B still had hives 30 minutes after taking the
medication. Test at a 1% level of significance.
1) For this hypothesis test, the null and...
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