4.32 True or false:  Determine if the following statements are true or false, and explain your reasoning. If false, state how it could be corrected. (a) If a given value (for example, the null hypothesized value of a parameter) is within a 95% confidence interval, it will also be within a 99% confidence interval. true   false (b) Decreasing the significance level (α) will increase the probability of making a Type 1 Error. false   true (c) Suppose the null hypothesis is μ = 5 and we fail to reject Ho. Under this scenario, the true population mean is 5. true   false

Q: (a) Construct a 95% confidence interval for the proportion of false positives produced by the test.

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Q: Can we say that, if a large number of data sets were to be collected, then on roughly 95% of…

A: Given that A 95% confidence interval for an unknown mean μ is (1.6, 4.2).

Q: 4. The P-value for a two-sided test of the null hypothesis Ho: u = 10 is 0.03. Does the 95%…

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Q: that the average data speed is 22.5 Mbps. Technology is used to ind the 95% confidence interval…

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Q: A tennis player ran a simulation twice to estimate the proportion of wins to expect using a new game…

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Q: In constructing a confidence interval from a manageable sample in order to estimate a population…

A: As confidence level decreases, width of the interval decreases. The width of the interval decreases…

Q: II. Identify whether the conclusion is susceptible to a Type I error or a Type II error (confidence…

A: Type I error:- We reject the null hypothesis when it is actually true. Type II error:- We fail to…

Q: 4. p-value is 0.012, the researcher did not reject the null hypothesiss 5. p-value is 0.102, the…

A: Type 1 error is rejecting the null hypothesis when it is true.   Type 2 error is failing to reject…

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A: We have given the following statement H0 : μ = 1.75 H1: μ ≠1.75

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A: The hypothesis is an assumption that is bein tested.

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A: 1st Group: x1=65n1=150 2nd Group: x2=115n2=200 Significance level, α=0.05

Q: 2. We test if the proportion of females among AUM students is not 1/2. We collected a sample with…

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A: Population proportion p=0.27Margin of error =E =0.05

Q: A researcher wanted to check whether the percentage of Canadian adults with obesity has decreased in…

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Q: The assumptions for using a confidence interval are different than a hypothesis test. True False

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Q: Determine if each of the following statements is true or false, and explain why. A 95% confidence…

A: The objective is to determine which of the given statements is true or false.

Q: 1. State the null hypothesis and alternative hypothesis in symbols. Use .05 as the alpha. 2. Compute…

A: Given,   Drug A Drug B M 72.0 68.7 n 18 24 SS 62 208

Q: part 4 5 6

A:

Q: Construct a 99% confidence interval for the proportion of those aged 65 and over who have sleep…

A: Given

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A: Answer  Given  X1 =43 n1 =91 x2 =51 n2 =81 Confidence interval =99%

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A: Given that  A university admissions person claims that more than 70% of its students graduate within…

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A: Then you make a confidence interval and find that the true value of your parameter is actually not…

Q: Two companies produce small motorcycles of varying quality. An important measure of quality is the…

A: Company 1 : (N1 =9) : df1 = 8 15.8,29.0,42.3,48.7,59.1,52.9,45.4,35.3,46.1  Company 2 : (N1 =6) :…

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A: It is given that the negative P-value.

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Q: (d) Find a 99% confidence interval and conclude.

A: Given x=16 n=25

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A:

Q: A 95% confidence interval for the mean can be interpreted to which of the following? A None of the…

A: In this case, we need to find the correct statement for the given question.

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A: here for sample1 and sample2 data are respectively  n1 = 31+47 = 78 n2 = 92 x1 = 31 x2 = 45…

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