c. What is the test statistic? Round to 3 decimal places.? ✓ =d. What is the p-value? Round to 5 decimal places.P =e. Make a decision.Do not reject the nullReject the nullf. What is the conclusion?There is sufficient evidence to support the claim that different octanes produce different miles pergallon.O There is not sufficient evidence to support the claim that different octanes produce different milesper gallon. Some people believe that different octane gasoline result in different miles per gallon in a vehicle. The followingdata is a sample of 11 people which were asked to drive their car only using 10 gallons of gas and record theirmileage for each 87 Octane and 92 Octane.Person1234567891011Miles with87 Octane234257243215114287315229192204547Miles with92 Octane237238229224119297351241186209562Do the data support that different octanes produce different miles per gallon at the a = 0.02 level ofsignificance? Note: A normal probability plot of difference in car mileage between Octane 87 and Octane 92indicates the population could be normal and a boxplot indicated no outliers.

We have to determine test-statistic and p-value.

Answered: . What is the test statistic? Round to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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ANSWER 45 ONLY
Is the average time to complete an obstacle course shorter when a patch is placed over the right eye than when a patch is placed over the left eye? Thirteen randomly selected volunteers first completed an obstacle course with a patch over one eye and then completed an equally difficult obstacle course with a patch over the other eye. The completion times are shown below. "Left" means the patch was placed over the left eye and "Right" means the patch was placed over the right eye. Time to Complete the Course Right 43 50 42 48 50 50 47 48 Left 44 50 42 53 48 53 47 48 Assume a Normal distribution. What can be concluded at the the a = 0.10 level of significance level of significance?
Suppose that a poll of 343 voters finds that 27% of those surveyed support Measure A. What is q'? Enter as a decimal. Do not round your answer. Submit Question or MacBook Air 000 F2 F3 F4 F5 F6 F7 F8 F9 2$ 6. 8 R. T. Y D H K C V B. S4 %#3
Please answer asap...need correct answer..Thank you
PS. 4 DECIMAL PLACES IF THE ANSWER HAVE A DECIMAL MORE THAN 4, THANK YOU!
Which of the following can increase error in a statistical experiment? (Select all that apply) a. Convenience Sample b. Small sample size c. The sample that has the same characteristics as the population. d. None of these condition will increase error in statistical experiments.
State the conclusion based on the results of the test. The mean of the pressure required to open a certain valve is known to be = 7.9 psi. Due to changes in the manufacturing process, the quality-control manager feels that the average pressure has changed. The null hypothesis was rejected. Choose thee correct answer below. OA. There is not sufficient evidence that the mean of the pressure required to open a certain valve has changed. O B. The mean of the pressure has not changed. Oc. The mean of the pressure has changed. OD. There is sufficient ovidence that the mean of the pressure required to open a certain valve has changed. OE. There is sufficient evidence that the mean of the pressure required to open a certain valve has not changed. OF There is not suficient evidence that the mean of the pressure required to open a certain valve has not changed.
ANSWER 43 AND 44 ONLY
The temperature reading from a thermocouple placed in a constant-temperature medium is normally distributed with mean μ, the actual temperature of the medium, and standard deviation o. USE SALT What would the value of o have to be to ensure that 95% of all readings are within 0.2° of μ? (Round your answer to four decimal places.) 0 = You may need to use the appropriate table in the Appendix of Tables to answer this question. Need Help? Read It
I would like help in parts b-d please. Thank you!
Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual Total ANOVA (2 decimal places each, where necessary) Sum of Squares X Model (Intercept) 0.3632 0.515 1000 RMSE Parameter Estimates (2 decimal places each) Beta Coef. Var. df 29.48 5.7871 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129
A researcher wants to know whether athletic women are more flexible than non - athletic women. For this experiment, a woman who exercised vigorously at least four times per week was considered "athletic". Flexibility is measured in inches on a sit & reach box. A researcher tested his claim using the following summary statistics: Athletic women Non-athletic women n = 50 * = 5.0 inches s=1.4 inches Assume that all conditions for testing have been met. t = 1.626; p = 0.057 ; At the 1% significance level, state your decision regarding the null hypothesis and your conclusion about the original claim. n = 30 * = 4.6 inches s= 0.8 inches O A. Fail to reject the null hypothesis; there is not strong enough evidence to suggest that athletic women are more flexible, on average, than non-athletic women. O B. Reject the null hypothesis; there is strong evidence to suggest that non-athletic women are more flexible, on average, than athletic women. OC. Fail to reject the null hypothesis; there is…

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