An environmental researcher wants to know whether the mean amount of sulfur dioxide in the air in UAE cities is less than 1.22 parts per billion (ppb). She tested the hypotheses Ho: u 2 1.22 versus Ha: < 1.22 using a significance level a = 0.05. The p-value of the test is 0.045. If the true value of u is 1.23, the conclusion results in Correct decision. Type I error. Both Type I and Type II errors. Type II error.
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- The FDA regulates that fish that is consumed is allowed to contain 1.0 mg/kg of mercury. In New Hampshire, bass fish were collected in 51 different lakes to measure the amount of mercury in the fish. Do the data provide enough evidence to show that the fish in New Hampshire lakes has more mercury than the allowable amount? State the Type 1 and Type Il errors in this case. State the Type I error. O Concluding that the mean amount of mercury in bass fish in New Hampshire is 1.0 mg/kg when it is less than 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is less than 1.0 mg/kg when it is 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is 1.0 mg/kg when it is more than 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is more than 1.0 mg/kg when it is 1.0 mg/kg. State the Type Il error. O Concluding that the mean amount of mercury in bass fish in New Hampshire is more than 1.0…The average French person drinks approximately 30 gallons of soda a year. Some French legislators are recommending instituting a sales tax on soda to raise revenue and fight obesity. Will a sales tax reduce the mean amount of soda consumption? Suppose that a sales tax on soda will be added in a random sample of communities to measure the impact on soda consumption. State the null and alternative hypothese Suppose sample results give a p-value of 0.2. State your general conclusion (reject the null or fail to reject the null). Then state your conclusion based on the context of this situation. Now suppose sample results give a p-value of 0.018. State your general conclusion (reject the null or fail to reject the null). Then state your conclusion based on the context of this situation.An engineer has designed a valve that will regulate water pressure on an automobile engne. The valve was tested on 130 engines and the mean pressure was 5.1 Ibs/square inch. Assume the variance is known to be 0.25 if the valve was designed to produce a mean pressure of 5 lbs/square inch, is there sufficient evidence at the 0.05 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario Answer Ho H₂ Tables Keypad Keyboard Shortcuts
- In a survey, 38% of the respondents stated that they talk to their pets on the telephone. A veterinarian believed this result to be too high, so she randomly selected 240 pet owners and discovered that 89 of them spoke to their pet on the telephone. Does the veterinarian have a right to be skeptical? Use the α=0.1 level of significance.You perform an ANOVA test comparing average height among patients at a hospital according to whether they were born in the 1950s, 1960s, or 1970s. The results from the test are significant at the level of 0.05. What can you conclude from this test? You can reject the null hypothesis that the data comes from a sample where mMean heights are not different according to decade of birth, but you can not determine which decades are different from each other. Mean heights for each decade of birth are different from each other. The mean height of those born in 1970 is more than the other groups. The mean height of those born in 1950 is more than the other groups.I attempted this problem by using a null hypothesis (mean heat flux is less than or equal to 29), an alternate hypothesis (mean heat flux is less than or equal to 29), and was attempting to use a Z or a T test statistic, however I can't sem to figure out whether the problem is using a sample standard deviation or a population standard deviation (which would help me choose whether to use a Z or T test statistic). Any explanation regarding whether the problem is using a sample standard deviation or a population standard deviation would be greatly appreciated. Thank you.
- The mean number of eggs per person eaten in the United States is 263. Do college students eat less eggs than the average American? The 62 college students surveyed averaged 260 eggs per person and their standard deviation was 30.3. What can be concluded at the αα = 0.05 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: Correct H1:H1: Correct The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest that the sample mean is not significantly less than 263 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of eggs consumed by college students per year is less than 260. The data suggest that the population mean is not…A study is conducted to investigate the average number of hours of sleep per night for a sample of 40 college students. The sample mean is found to be x̄ = 6.5 hours with a standard deviation of s = 1.2 hours. Perform a hypothesis test to determine if the population mean number of hours of sleep per night is less than 7 hours. Use a significance level of α = 0.05.A researcher is interested in studying mean gill beat rates for fish in water with three different levels of calcium. The results of the experiment are stored in below. Set up the null and alternative hypotheses. What is the mean square error? State the F-statistic of the test as well as the p-value of the test. What is the conclusion of the test, in context? Test which two levels of calcium are most likely to find a difference in mean gill rates. State all three pairwise hypothesis tests and the p-values for each test. Calcium GillRate Low 55 Low 63 Low 78 Low 85 Low 65 Low 98 Low 68 Low 84 Low 44 Low 87 Low 48 Low 86 Low 93 Low 64 Low 83 Low 79 Low 85 Low 65 Low 88 Low 47 Low 68 Low 86 Low 57 Low 53 Low 58 Low 47 Low 62 Low 64 Low 50 Low 45 Medium 38 Medium 42 Medium 63 Medium 46 Medium 55 Medium 63 Medium 36 Medium 58 Medium 73 Medium 69 Medium 55 Medium 68 Medium 63 Medium 73 Medium 45…
- In a study of 110 women and 116 men, it was found that mean body temperature for women was 97.690 F and mean body temperature for men was 97.450 F. Assume that the populations are independent, and the standard deviations were found to to be 0.89o F for women, and 0.660 F for men. Use an α = 0.05 significance level to test the claim that woman and men have different mean body temperatures. For full credit your hypothesis test must include: the claim, the null and alternate hypothesis, your test statistic and corresponding p-value, your decision, and the interpretation of your decision as it relates to the claim. It is acceptable to use technology to calculate the test statistic and the p-value here.he average American consumes 96 liters of alcohol per year. Does the average college student consume more alcohol per year? A researcher surveyed 13 randomly selected college students and found that they averaged 104.4 liters of alcohol consumed per year with a standard deviation of 18 liters. What can be concluded at the the αα = 0.10 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: H1:H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the population mean is not significantly more than 96 at αα = 0.10, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is equal to 96 liters per year. The…I also need the standardized test statistic and whether it's required to reject or fail to reject the hypothesis and interpret the decision in the context of the original claim