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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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.
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…
Need the H0 and H1 values. Can use != for not equal to.
A knewton.com Question The following data was calculated during a study on customer experience. Use the following information to find the test statistic and p-value at a 10% level of significance: • The claim is that the percent of companies that view customer experience as the most vital component of a growing business is different than 50%. Sample size = 50 companies • Sample proportion = 0.40 Use the table or the curve below to find the test statistic and p-value. For the curve select the appropriate test by dragging the blue point to a right-, left- or two-tailed diagram, then set the sliders. Use the purple slider to set the significance level. Use the black sliders to set the information from the study described above. z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 |-1.5 0.067 0.0660.064 0.063 0.062 0.061 0.059 o.058 0.057 0.056 -1.40.081 0.0790.078 0.076 0.075 0.074 0.072 0.071 0.069 0.068 |-1.3 0.097 0.095 0.093 0.092 0.090 0.089 0.087 0.085 0.084 0.082 -1.2 0.115…
A physician wants to copmaure the blood pressures of six patients before and after treatment with a drug. The blood pressures are as follows: The physician wants to test if there is a significant change of the clood pressure before and after the drug at 0.05 level of significance. the absolute value of the test statistic and the absolute value of the test are, respectively: A. 0.7192 and 1.812 B. 0.7192 and 2.228 C. 1.6151 and 2.015 D. 1.6151 and 2.571
Please solve for G, H, and I.
For c is the null hypothesis rejected?
Determine mu Subscript x overbar and sigma Subscript x overbar from the given parameters of the population and the sample size. Round the answer to the nearest thousandth where appropriate. mu equals34 , sigma equals10, nequals 17
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