A doctor is considering prescribing a new medication that helps lower blood sugar for diabetes; he claims the medication is not toxic. You will test the medication to see if it is toxic. Set up the null and alternative hypotheses. Explain what the Type I and Type II errors would be in the situation.
Q: Rejecting a true alternative hypothesis, H1 leads to committing a type II error
A: here use type 2 error definition
Q: A researcher risks making a Type I error any time the null hypothesis is rejected? state the reason?
A: Type I error: The type I error can be defined as the probability of rejecting the null hypothesis…
Q: If we do not reject the null hypothesis when the alternative hypothesis is true, we have made a…
A: Fill in the required blank
Q: What are the two kids of errors we can make in hypothesis testing?
A: The two kinds of errors are 1)Type 1 2)Type 2 Type 1 Error: It is referred as False Positives. It…
Q: if the null hypothesis should be rejected and researchers reject it they have committed.? which of…
A: Type I error: The type I error is the rejection of the null hypothesis when it is actually true.…
Q: Come up with your own hypothesis testing scenario. What is an example of a null and research…
A: Suppose it is claimed that the average weekly salary of a waiter at restaurant in USA is $800 with…
Q: Be able to determine the null hypothesis from a description of an experiment?
A: Hypothesis: Hypothesis is an assumption about the parameter of the population which will be made on…
Q: A type I error could be committed even if the null hypothesis is false O True O False
A: The provided statement is "false" because Type I error refers to rejecting the null hypothesis when…
Q: Explain what it means to accept the null hypothesis?
A: We need to define null and alternative hypothesis.
Q: Can you give me an example on how to write the null and alternative hypotheses and determine if each…
A: Basically, null hypothesis is the statement of a population parameter such as mean, proportion,…
Q: Suppose that, in a hypothesis test, the null hypothesis is in fact true. a. Is it possible to make a…
A: Type I error:Probability of rejecting the null hypothesis when it is actually true.Type II…
Q: Suppose the null hypothesis, H0, is: a patient is not sick. State the Null and Alternative…
A: The test hypotheses are given below: Null hypothesis: H0: A patient is not sick Alternative…
Q: State the null and alternative hypotheses for the test.
A: A random sample of Sixty gym members were selected and their weights were recorded to test whether…
Q: we are interested in how much time young adults spend on social media. in one statistical study . we…
A: Given: In the statistical study, the researcher wants to know how much time young adults spend on…
Q: When testing for our hypothesis, we are actually testing the truthfulness of our null hypothesis.…
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Q: The type II error is also known as false positive or false alarm. Wrongfully failing to reject the…
A:
Q: Suppose a researcher comes up with a new drug that in fact cures AIDS. She assigns some AIDS…
A: A researcher finds a new drug which will cure AIDS. To ensure this she tests H0 : the new drug has…
Q: what is the correct null hypothesis?
A: The null hypothesis states that the model is not useful because all the coefficients are zero. That…
Q: In most experiments, researchers would prefer to fail to reject the null hypothesis. Is this…
A: In the statistical hypothesis, the test statistic value lies either in the rejection region or in…
Q: A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft…
A: The claim is that the machine is properly adjusted or not.
Q: For the chi-square test of independence, how the hypothesis is formulated, and what are the expected…
A:
Q: A type 1 error occurs when a treatment has an effect but the decision is to fail to reject the null…
A: Given : A type 1 error occurs when a treatment has an effect but the decision is to fail to reject…
Q: State the null and alternative hypotheses for the above scenario.
A: HERE given, Our environment is very sensitive to the amount of ozone in the upper atmosphere. The…
Q: Describe the relationship between the null and alternate hypothesis?
A: Hypothesis: Hypothesis is an assumption about the parameter of the population which will be made on…
Q: What is the difference between failing to reject the null hypothesis and having evidence to support…
A: Given that What is the difference between failing to reject the null hypothesis and having evidence…
Q: Suppose that, in a hypothesis test, the null hypothesis is in fact false. a. Is it possible to make…
A: Type I error:Probability of rejecting the null hypothesis when it is actually true.Type II…
Q: the non-directional null hypothesis? What is the alternative hypothesis?
A: Hypothesis in statistics are the statements which need to be tested on the basis of the observed…
Q: come up with your own hypotheses. Write both the null and alternative for a one-tailed hypothesis.
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Q: Identify the null and alternative hypotheses for this test.
A: Test is that whether the percentage of females aged 15 and older who live alone has changed from…
Q: The the P-value, the stronger the evidence against the null hypothesis provided by the data. A)…
A:
Q: If the calculated test statistic falls in the rejection region, the statistical action is to…
A: Hypothesis Testing- In the domain of statistics, in order to analyze a large population data set, a…
Q: why must we be required to deal with uncertainty in our decisions, even when using statistical…
A: Hypothesis Testing : Hypothesis testing is an act in statistics whereby an analyst tests an…
Q: A software company advertises that its software can improve students' grades by at least 15%. One…
A: Type I error has occurred, when the null hypothesis is rejected while the null hypothesis is true.…
Q: State why a non-significant outcome does not mean the null hypothesis is probably true?
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Q: When the null hypothesis is true, the F test statistic is close to When the null hypothesis is…
A: F-statistics are the ratio of two variances that are approximately the same value when the null…
Q: rejecting a true alternative hypothesis, H1 leads to committing a type II error True or False
A:
Q: In tests of significance, it is possible to reject the null hypothesis and yet still have a…
A: Given that the null hypothesis is rejected.
Q: The designer of an SAT prep course wants to test whether persons who take the course increase their…
A: Type I error: The type I error if the null hypothesis is rejected when it is actually true. Type II…
Q: A golf instructor claims that more than 70% of his students have improved their driving distance by…
A: Given: population proportion: p = 0.70 n = 180 x = 138 Claim : A golf instructor claims that more…
Q: what are the potential mistakes when setting up a null and alternative hypothesis.
A: The hypothesis test is a statistical method in which one using the sample data try to check the…
Q: What is a null hypothesis?
A: Hypothesis:Hypothesis is an assumption about the parameter of the population which will be made on…
Q: The two approaches for testing hypotheses are: Select one: a. one-tailed and two-tailed b.…
A: Solution-: We find the two approaches for testing hypotheses=?
Q: What is H0? And why do we evaluate it instead of the scientific hypothesis?
A: Statistician use the term H0 which is under statistical hypothesis and scientists use the scientific…
Q: You wanted to know whether eating fatty foods is related to obesity. a) Formulate your null and…
A: The null hypo. is a statistical statement stating no relationship between the observed and measured…
Q: If the null hypothesis is false, you cannot make which kind of error? Type I Type II
A: Type I error: The type I error occurs when rejecting the null hypothesis when it is true. It is…
Q: The board of directors for Procter and Gamble is concerned that only 19% of the people who use…
A: We have given that Population proportion p=19%=0.19 Note:-According to Bartleby Expert guideline,…
Q: According to a report published last year by Pew Research, 23% of all American adults lived in a…
A:
Q: The goal of research is to prove that the null hypothesis is true. True False
A:
Q: What would the null and alternative hypotheses be? Is there enough evidence to support the claim?
A: Test is that whether the SAT prep course increases student scores by more than 60 points, on…
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- What term is used to express the likelihood of an event occurring? Are there restrictions on its values? If so, what are they? If not, explain.What are the Null and alternative hypotheses in the example of type 1 and type 2 error?4 The designer of an SAT prep course wants to test whether persons who take the course increase their SAT scores, on average. To do so, the founder selects a random sample of course takers and compares their SAT scores from before taking the course to their SAT scores after taking the course. Which situation below would represent a Type Il Error for the associated test of hypotheses? a.Concluding the course is not useful on average, when the course is not useful on average b.Concluding the course is not useful on average, when the course is useful on average c.Concluding the course is useful on average, when the course is not useful on average d.Concluding the course is useful on average, when the course is useful on average
- if the null hypothesis should be rejected and researchers reject it they have committed.? which of the two type 1 error or type 2 error?Suppose that, in a hypothesis test, the null hypothesis is in fact false. a. Is it possible to make a Type I error? Explain your answer.b. Is it possible to make a Type II error? Explain your answer.Suppose that, in a hypothesis test, the null hypothesis is in fact true. a. Is it possible to make a Type I error? Explain your answer.b. Is it possible to make a Type II error? Explain your answer.
- In a two-tailed hypothesis test, the calculated p-value is 0.08. If the significance level is set at 0.10, what is the correct decision? a. The test is inconclusive due to insufficient evidence. b. Fail to reject the null hypothesis. c. The p-value is too close to the significance level, and further testing is needed. d. Reject the null hypothesis in favor of the alternative hypothesis.A golf instructor claims that more than 70% of his students have improved their driving distance by at least 20 yards after viewing and applying the techniques described in his instructional video. If 138 out of 180 viewers say that their driving distance has improved by at least 20 yards, is the instructor's claim valid? Identify the null and alternative hypotheses for this scenario. Is the instructor's claim that "more than 70% of his students have improved their driving distance by at least 20 yards," valid? Your response should include your decision and conclusion in context of the scenario.What are the two kids of errors we can make in hypothesis testing?