For students who first enrolled in two year public institutions in a recent semester, the proportion who earned a bachelor's degree within six years was 0.396. The president of a certain college believes that the proportion ofstudents who enroll in her institution have a lower completion rate.(a) Determine the null and alternative hypotheses.(b) Explain what it would mean to make a Type I error.(c) Explain what it would mean to make a Type Il error.(a) State the hypotheses.Ho:H₁:(Type integers or decimals. Do not round.)(b) Which of the following is a Type I error?A. The president fails to reject the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is 0.396.B. The president rejects the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is less than 0.396.C. The president rejects the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is 0.396.D. The president fails to reject the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is less than 0.396.(c) Which of the following is a Type II error?A. The president fails to reject the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is less than 0.396.B. The president fails to reject the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is 0.396.C. The president rejects the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is less than 0.396.D. The president rejects the hypothesis that the proportion of students who earn a bachelor's degree within six years is 0.396, when, in fact, the proportion is 0.396.

Null hypothesis Among students who first enroll in two-year public institutions, the completion…

Answered: For students who first enrolled in two…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

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For students who first enrolled in two year public institutions in a recent semester, the proportion who earned a bachelor's degree within six years was 0.398. The president of a certain college believes that the proportion of students who enroll in her institution have a lower completion rate. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type Il error. (a) State the hypotheses. Ho: H1: (Type integers or decimals. Do not round.)
Identify the type I error and the type II error that correspond to the given hypothesis. The percentage of households with Internet access is greater than 60%.
When conducting a hypothesis test, what would it mean if the researcher obtains a negative test statistic? The sample is too small. It’s very unlikely the results would have occurred just by chance alone. The sample statistic is smaller than the claimed population parameter. A mistake was made in terms of calculating the test statistic. The sample statistic is larger than the claimed population parameter.
For students who first enrolled in two year public institutions in a recent semester, the proportion who earned a bachelor's degree within six years was 0.391. The president of a certain college believes that the proportion of students who enroll in her institution have a higher completion rate. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type |l error. (a) State the hypotheses. Họ: H1: (Type integers or decimals. Do not round.)
For students who first enrolled in two year public institutions in a recent semester, the proportion who earned a bachelor's degree within six years was 0.387. The president of a certain college believes that the proportion of students who enroll in her institution have a higher completion rate. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type Il error. (a) State the hypotheses. Но H1: (Type integers or decimals. Do not round.)
Suppose 202 subjects are treated with a drug that is used to treat pain and 50 of them developed nausea. Use a 0.05 significance level to test the claim that more than 20 % of users develop nausea. A.dentify the null and alternative hypotheses for this test. B. Identify the P-value for this hypothesis test. C.Identify the conclusion for this hypothesis test.(reject or fail to reject and why?) D.Does the accuracy rate appear to be acceptable? (is there or is there not sufficent evidance to reject the claim and why?)
For students who first enrolled in two year public institutions in a recent semester, the proportion who earned a bachelor's degree within six years was 0.397 The president of a certain college believes that the proportion of students who enroll in her institution have a lower completion rate. (a) Determine the null and alternative hypotheses. (b) Explain what it would mean to make a Type I error. (c) Explain what it would mean to make a Type II error. (a) State the hypotheses. Upper H 0H0: muμ sigmaσ pp muμ equals= equals= greater than> less than< not equals≠ nothing Upper H 1H1: muμ pp sigmaσ muμ less than< greater than> less than< not equals≠ equals= nothing (Type integers or decimals. Do not round.)
Answer the following True or False: Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up accepting the alternative hypothesis in error. false true
Two different simple random samples are drawn from two different populations. The first sample consists of 40 people with 20 having a common attribute. The second sample consists of 1800 people with 1291 of them having the same attribute. Compare the results from a hypothesis test p1=p2 (with a 0.05 significance level) and a 95% confidence interval estimate of p1-p2. What are the null and alternative hypotheses for the hypothesis test?
A national poll found that 73% of US adults could distinguish the definition of astrology from astronomy. Hoping that the percentage for TU students is higher, the SGA polls a random sample to test the hypotheses where p = the true proportion of TU students who can distinguish the definition of astrology from astronomy. If the decision is "do not reject the null", the correct concluson to the hypothesis test is... There is convincing evidence that the proportion of TU students who can distinguish the definition of astrology from astronomy is more than 73%. There is not enough evidence to conclude that the proportion of TU students who can distinguish the definition of astrology from astronomy is more than 73%. There is convincing evidence that the proportion of TU students who can distinguish the definition of astrology from astronomy is equal to 73%. There is not enough evidence to conclude that the proportion of TU students who can…
It is widely believed that 19% of all students live in campus housing. You suspect that claim is not accurate. You take a sample of 150 students from the population and find that 39 of those students live in campus housing. The parts that I am having trouble with are: Assuming the null is true, how many standard errors is the sample proportion away from the null? Assuming the null is true, on average, how far would a sample proportion be from the expected population proportion? I know that the answer for each part is 2.19 and 0.0320. I am struggling to remember the steps to get to the answer.
Previously, 5% of mothers smoked more than 21 cigarettes during their pregnancy. An obstetrician believes that the percentage of mothers who smoke 21 cigarettes or more is less than 5% today. She randomly selects 140 pregnant mothers and finds that 5 of them smoked 21 or more cigarettes during pregnancy. Test the researcher's statement at the a = 0.05 level of significance. What are the null and alternative hypotheses? < 0.05 Họ: p = 0.05 versus H,: p (Type integers or decimals. Do not round.) Because npo (1- Po) < 10, the normal model may not be used to approximate the P-value. (Round to one decimal place as needed.)

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