Is the following a null or an alternative hypothesis? Iced coffee tastes better than hot coffee.
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Is the following a null or an alternative hypothesis?
Iced coffee tastes better than hot coffee.
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- at Charlie H... Assume you are a psychologist studying the relationship between chocolate consumption and happiness. You ask 10 participants to rate how much chocolate (in ounces) they ate in the last week, and how happy they felt throughout the week on the average, on a scale ranging from 1 (extremely unhappy) to 10 (extremely happy). You hypothesize that there is some relationship between chocolate consumption and happiness. Here are their scores: Participant Chocolate eaten during week (oz) # 1 2 3 st 4 5 6 7 5 6 3 7 4 6 10 Happiness rating 3 9 7 6 813. The Department of Health and Welfare in Pulaski County is reviewing charges for a common surgical procedure which was performed in each of three hospitals located within Pulaski County. A random sample of five charges for the surgical procedure from each of the three hospitals is listed in the table to the right. At the .01 level of significance, does there appear to be any difference in the mean charge for this surgical procedure among the three hospitals? Providence County Mercy 5580 4700 4500 6300 5540 5975 7600 7544 5800 6067 7600 5590 7000 9080 6000 a. State the null and alternate hypotheses. Но: H¡: b. State the decision rule. c. Compute the value of the test statistic (use the tables). nt o с.Which of the following could be a null hypothesis for a hypothesis test? Group of answer choices p = .64 p ≠ .64 p < .64 p > .64
- Suppose we complete a case-control study that yields a study OR = 0.50. If we were told the true OR in the population was actually 0.25 (we normally wouldn’t know this, but suppose hypothetically someone was able to know this and told us), this means our study OR is biased. Is our study OR biased towards or away from the null? A)Towards the null. B)Away from the null.Which of the following is a true statement? a.Hypothesis tests are designed to measure the strength of evidence against the null hypothesis. b.A well-planned hypothesis test should result in a statement either that the null hypothesis is true or that it is false. c.When the null hypothesis is rejected, it is because it is not true. d.The alternative hypothesis is stated in terms of a sample statistic. e.If a sample is large enough, the necessity for it to be a simple random sample is diminished.Which of the following statements are TRUE? I. Increasing the significance level of a test will increase the chance of erroneously rejecting a true null hypothesis. II. Increasing the significance level of a test will increase the chance of erroneously failing to reject a false null hypothesis. Only statement I is true. Neither statement is true. Only statement II is true. Both statements are true.
- According to the most recent General Social Survey, 70% of adults watch TV nightly. A researcher believes that the proportion of college students who watch TV nightly is less than this. To test this claim the research samples 400 college students and finds that 276 watch TV nightly. At the 0.05 level of significance does this data provide evidence to suggest that the proportion of college students who watch TV nightly is less than 70%? Select the correct conclusion for the hypothesis test: Question 12 options: Fail to reject the null hypothesis because the p-value is less than the level of significance. Fail to reject the null hypothesis because the p-value is greater than the level of significance. Reject the null hypothesis because the p-value is less than the level of significance. Reject the null because the p-value is greater than the level of significance.The average person spends over 5 years of his or her life on social media. State the null and alternative hypothesis for the scenario using math symbols and words.Suppose that a hypothesis test is performed at a small significance level. State the appropriate conclusion in each case by referring to Key Fact 2. a. The null hypothesis is rejected.b. The null hypothesis is not rejected.
- Using the accompanying data of restaurant sales, determine if the vanance of weekday sales is the same as that of weekend sales for each of the three variables (lunch, dinner, and delivery). Click the icon to view the restaurant sales data. Is there sufficient evidence at the 0.01 level of significance to condude that the vanance of weekday sales is the same as that of weekend sales for lunch sales? Determine the null hypothesis, H. and the alternative hypothesis. H₁. Let weekend sales be population 1 and weekday sales be population 2. H₂ Hi 11 (Type integers or decimals. Do not round.) Compute the test statistic (Round to two decimal places as needed.) Survey data Date Day Lunch Sales $ Dinner Sales $ Delivery Sales $ 4-Apr Wednesday 358 789 293 11-Apr Wednesday 386 665 299 18-Apr Wednesday 426 628 289 25-Apr Wednesday 331 729 253 3-Apr Tuesday 296 848 325 10-Apr Tuesday 308 572 328 17-Apr Tuesday 297 568 358 24-Apr Tuesday 229 529 402 5-Apr Thursday 402 808 273 12-Apr Thursday 420…2. Suppose a 95% CI for the proportion of adults that regularly attend a tae kwon do class at least once a week was found to be (0.2534, 0.3894). decision a. For the null and alternative hypothesis: Ho: p = 0.40 versus Ha: p # 0.40, what is for this test of hypothesis? your b. Based on the CI, which of the following statements gives the best conclusion about the true value of the proportion of adults that regularly attend a tae kwon do class at least once a week? i. I am 95% confident that the proportion of adults that regularly attend a tae kwon do class at least once a week is greater than 40%. ii. I am 95% confident that the proportion of adults that regularly attend a tae kwon do class at least once a week is different than 40% iii. I am 95% confident that the proportion of adults that regularly attend a tae kwon do class at least once a week is less than 40% iv. I am 95% confident that the proportion of adults that regularly attend a tae kwon do class at least once a week equals…A health provider saw that 48% of their members received their flu shot in recent years. The health care provider tried a new advertising strategy the following year, and they took a sample of members to test if the proportion who received their flu shot had changed. Determine the null and alternative hypothesis
