Marketers believe that 69.6 % of adults in the U.S. own a cell phone. A cell phone manufacturer believes a larger proportion have a cell phone. 31 adults living in the U.S. are surveyed, of which, 6 report that they have a cell phone. Using a 0.05 level of significance test the claim. The correct hypotheses would be: Ho:p ≤ 0.696 HA P 0.696 (claim) O Ho:p> 0.696 HA:P < 0.696 (claim) O Ho: p= 0.696 HA P 0.696 (claim) Since the level of significance is 0.05 the critical value is 1.645 3 places) The test statistic is: The p-value is: (round (round to 3 places)

An online poll asked: "Do you believe the Loch Ness monster exists?" Among 20,139 responses, 68% were "yes." Use a 0.10 significance level to test the claim that most people believe that the Loch Ness monster exists. How is the conclusion affected by the fact that Internet users who saw the question could decide whether to respond? www Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.5 H₁: p0.5 H₁: p=0.5 O C. Ho: p=0.5 H₁: p=0.5 O D. Ho-p=0.5 H₁: p>0.5

The median price of homes in in a certain city was $228,830. A sample of 200 homes sold in a suburb of the city found 113 homes with sales prices over $228,830 and 87 homes with sales prices under $228,830. Can you conclude that the median price of homes in the suburb differs from the median price of homes in the entir city? Use a = 0.05. State the null and alternative hypotheses. O Ho: Median # 228,830 H₂: Median = 228,830 O Ho: Median 2 228,830 H₂: Median 228,830 O Ho: Median > 228,830 H₂: Median = 228,830 Find the value of the test statistic. (Round your answer to two decimal places.) z = Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Do not reject Ho. There is sufficient evidence to conclude that the median price of homes in the suburb differs significantly from $228,830. Do not reject Ho. There is not sufficient evidence to conclude that the median price of homes in the suburb differs significantly from $228,830. O Reject Ho.…

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In a program designed to help patients stop smoking, 173 patients were given sustained care, and 80.9% of them were no longer smoking after one month. Use a 0.05 significance level to test the claim that 80% of patients stop smoking when given sustained care. Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho p=0.8 H1 p0.8 O C. Ho p=0.8 H1 p 0.8 O D. Ho p 0.8 Hiip=0.8

A baseball team claims that the mean length of its games is 2.8 hours. State Ho and H, in words and in symbols. Then determine whether the hypothesis test for this claim is left-tailed, right-tailed, or two-tailed. Explain your reasoning. State the null hypothesis in words and in symbols. Choose the correct answer below. O A. The null hypothesis expressed in words is, "the mean length of a baseball team's games is 2.8 hours." The null hypothesis is expressed symbolically as, "Ho: u= 2.8." O B. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at least 2.8 hours." The null hypothesis is expressed symbolically as, "Ho: u22.8." OC. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at most 2.8 hours." The null hypothesis is expressed symbolically as, "Ho: uS2.8." O D. The null hypothesis expressed in words is, "the mean length of a baseball team's games is more than 2.8 hours." The null hypothesis is expressed…

New Orleans' Coca Cola bottling center wants to determine whether the mean amount of product in a 12 oz can of Coke is actually 12 ounces. Thus, the null and alternative hypotheses are       Ho: mu is equal to 12 ounces     Ha: mu is not equal to 12 ouncesYou want to be extra sure that you aren't underfilling (which would open you up to a lawsuit). Being risk averse, you set out to conduct a hypothesis test at a stringent 99% level. Fill rates are distributed Normally. You take a sample of 50 different Coke cans and carefully measure the amount of product. From this sample, you calculate an avg fill of 12.3 ounces, with a standard deviation of 0.75 ounces.  What do you conclude about the average amount of Coke product in the cans? Group of answer choices a. There is sufficient evidence to conclude that you are not filling to 12 ounces on average.   b. There is NOT sufficient evidence to conclude that you are under- or over-filling on average.

New Orleans' Coca Cola bottling center wants to determine whether the mean amount of product in a 12 oz can of Coke is actually 12 ounces. Thus, the null and alternative hypotheses are       Ho: mu is equal to 12 ounces     Ha: mu is not equal to 12 ouncesYou want to be extra sure that you aren't underfilling (which would open you up to a lawsuit). Being risk averse, you set out to conduct a hypothesis test at a stringent 99% level. Fill rates are distributed Normally. You take a sample of 50 different Coke cans and carefully measure the amount of product. From this sample, you calculate an avg fill of 12.3 ounces, with a standard deviation of 0.75 ounces.  Do you reject or not-reject the null hypothesis? Group of answer choices Do not reject the null hypothesis.  Reject the null hypothesis.

A business owner claims that the proportion of take out orders is greater than 25%. To test this claim, the owner checks the next 250 orders and determines that 60 orders are take out orders The following is the setup for this hypothesis test: Ho :p 0.25 Ha p>0.25 In this example, the p-value was determined to be 0.643. come to a conclusion and interpret the results for this hypothesis test for a proportion (use a significance level of 5%) Select the correct answer below: O The decision is to reject the Null Hypothesis. The conclusion is that there is enough evidence to support the claim. The decision is to fail to reject the Null Hypothesis. The conclusion is that there is not enough evidence to support the claim.

The mean salary for a new teacher in your town is $51,000.  You believe it is lower for new teachers in a neighboring town. State the null and alternative hypotheses.