Rejecting a true alternative hypothesis, H1 leads to committing a type II error
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Q: rejecting a true alternative hypothesis, H1 leads to committing a type II error True or False
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- 2 A type I error occurs when a false null hypothesis is not rejected. Select one: True FalseFor 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 0.389. 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 II error. (a) State the hypotheses. H0: muμ greater than> nothing H1: pp less than< nothingFor 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.)
- How would you explain the null hypothesis :H0: The proportion of participants who suffer from cancer equals between smoking participants and non-smoking participants in terms of the ramifications of type I error and type IIFor 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 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.) (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…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.)
- I am testing whether a new group study technique improves PSYC 214 students’ final exam grades. In this situation, what would be a Type I error? What would be a Type II error?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 0.389. 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 II error. (a) State the hypotheses. H0: ▼ ▼ nothing H1: ▼ ▼ nothing (Type integers or decimals. Do not round.)When a researcher conducts an experiment and fails to find significant results, what should she conclude? The research hypothesis is false The current data are inconclusive with regards to the research hypothesis The null hypothesis is true The null hypothesis is false
- It is advertised that the average braking distance for a small car traveling at 65 miles per hour equals 120 feet. A transportation researcher wants conduct a hypothesis test to determine if the stopping distance is less than 120. What is Type II error in the context of this problem?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 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 II error.A gardener believes that the proportion of days that his garden gets rain is less than 33%. Select the hypothesis test decision that would define a Type II error. Not conclude that the true proportion of rain days is less than 33% when it is less than 33%. Conclude that the true proportion of rain days is less than 33% when it is less than 33%. Conclude that the true proportion of rain days is less than 33% when it is at least 33%. Not conclude that the true proportion of rain days is less than 33% when it is at least 33%. None of the above