Pennsylvania Refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 13 stations last Tuesday, the correlation was 0.73. 1. State the decision rule for 0.025 significance level. (Round your answer to 3 decimal places.) Reject H0 if t > 2. Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic is 3. Can we conclude that the correlation in the population is greater than zero? Use the 0.025 significance level. |но. We conclude that the correlation in the population is Zero.

Pennsylvania Refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 13 stations last Tuesday, the correlation was 0.73. 1. State the decision rule for 0.025 significance level. (Round your answer to 3 decimal places.) Reject H0 if t > 2. Compute the value of the test statistic. (Round your answer to 3 decimal places.) Value of the test statistic is 3. Can we conclude that the correlation in the population is greater than zero? Use the 0.025 significance level. |но. We conclude that the correlation in the population is Zero.

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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The sample data here is the cholesterol levels for 10 men diagnosed with high cholesterol. The first row represents levels from 10 men who did not use the drug and the second row from 10 different men who did use the drug. If we want to test the claim that the mean level for all men who use the drug is less than the mean for all men who do not use it, what is the appropriate alternative hypothesis? The mean cholesterol level of males who take the medicine is higher than the mean cholesterol levels of men who do not take it. There is a significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels. The mean cholesterol level of males who take the medicine is lower than the mean cholesterol levels of men who do not take it. There is no significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.
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You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Use the .05 level of significance. Solve for the appropriate test statistic
A consumer research group purchased identical items in eight drugstores. The mean cost for the purchased items was $113.49. The mode was $112. Using the empirical relationship among mean, median, and mode, estimate the median and comment on the skewness of the distribution.
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
Warren wants to know if the amount of coffee that you drink is related to the number of hours that you stay awake. He recruits 50 participants using random sampling to report how much coffee they drank and the time of the day that they went to sleep. He then performs a correlation to determine the association between the amount of coffee that was consumed and the number of hours that they stayed awake. There was a statistically significant positive correlation between amount of coffee that participants drank and the number of hours that they stayed awake, r(49) = .82, p < .05, two-tailed, r2 = .08. This was a small effect – 8% of the variance in the amount of coffee drank is explained by hours that you stay awake (and vice versa).
A medical doctor is interested in determining whether mean body temperatures are different in the morning and at night. Five patients were recruited and their body temperatures were measured first at 8 AM and then again at 10 PM. The data is in the following table: Patient 1 2 4 Morning Night 98.0 97.6 97.2 97.0 98.0 97.0 98.8 97.6 97.7 98.8 For this matched pairs experiment, you should take the differences by calculating: Morning - Night. Also, you may use the fact that the sample standard deviation of 44/V5 the differences is 0.844 and that 0.844 0.3774. What is the test statistic for the test? Round your final answer to two decimals. Next Page Page 5 of 15 126 53 1. NOV 18
The average home in the US is expected to cost $240,000. A random sample of 56 homes sold this month showed average price of $232,000. Assume you have access to this data. We are interested in determining cost if the cost of average home has decreased this month. If the test statistic is -1.66 what is the p-value?
I vacuum cleaners. The weights are classified according to vacuum cleaner type. At a=0.10, can you conclude that at least one mean vacuum cleaner weight is different The table available below shows the weights (in pounds) for a sample from the others? E Click the icon to view the vacuum cleaner weight data. Let Hgu. PBLU and PTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? O A. Ho: Heu * PBLU HTC H PBU PBLU =HTC Weight of Vacuum Cleaners by Type O B. Ho: At least one of the means is different. H PBu = HBLUu =PTC &c. Họ: PBU = HBLU =HTC Bagged upright 22 19 Bagless upright Top canister 21 22 23 25 H: At least one of the means different. 17 20 15 18 18 19 O D. Ho: PBU = PBLU "HTC 23 20 26 25 22| 23 Ha: Peu * PBLU *HTC What is the test statistic? Print Done F= (Round to two decimal places as needed.)
Estimate the most likely degree of correlation for the scatterplot Options: a. 0 b. .85 c. -.90 d. -.05
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…