From the given data, values of d = Without additive - With additive are got as follows:
d values = - 0.4, - 1.8, - 2.5, - 0.2, - 2.9, - 0.7, - 2.2, - 3.0, - 0.4, - 0.9
From d values, the following statistics are calculated:
n = 10
= di/10
= - 15/10
= - 1.5
d | d - | (d - )2 |
- 0.4 | 1.1 | 1.21 |
-1.8 | - 0.3 | 0.09 |
- 2.5 | - 1.0 | 1.00 |
- 0.2 | 1.3 | 1.69 |
- 2.9 | - 1.4 | 1.96 |
- 0.7 | 0.8 | 0.64 |
- 2.2 | - 0.7 | 0.49 |
- 3.0 | - 1.5 | 2.25 |
- 0.4 | 1.1 | 1.21 |
- 0.9 | 0.6 | 0.36 |
Total = | 10.9 |
Sample Variance (s2) is given by:
s2 = (di - )2/9
= 10.9/9
= 1.2111
So,
Standard Deviation (s) is given by:
s = 1.2111
= 1.1005
So,
Answer is:
1.10
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage?
Let . Use a significance level of for the test. Assume that the gas mileages are normally distributed for the population of all cars both with and without the additive.
Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
Without additive | ||||||||||
With additive |
Step 3 of 5 :
Compute the value of the test statistic. Round your answer to three decimal places
Question 14 of 14 Step 2 of 5 01:14:31 A major oil company has developed a new gasoline aditive that is supposed to increase mileage. To test this hypothesis, ten cars are selected. The cars are...
Question 14 of 14 Step 3 of A major oil company has developed a new gasoline additive that is supposed to increase mileage. To rest this hypothesis, ten cars are ra that the gasoline additive does significantly increase mileage? Let d - (gas mileage with additive)-(gas mileage without addiove) Use a sgnificance level of a - 0.05 for the test Assume that the gas mileager 01:14:08 both with and without the additive. The results are displayed in the following table,...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.1 for the test. Assume...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d=(gas mileage with additive)−(gas mileage without additive). Use a significance level of α=0.1 for the test. Assume that the gas mileages...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d=(gas mileage with additive)−(gas mileage without additive). Use a significance level of α=0.05 for the test. Assume that the gas mileages...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d=(gas mileage with additive)−(gas mileage without additive)d=(gas mileage with additive)−(gas mileage without additive). Use a significance level of α=0.05 for the...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)–(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d=(gas mileage with additive)−(gas mileage without additive). Use a significance level of α=0.01 for the test. Assume that the gas mileages...