Statistical Reasoning for Everyday Life (5th Edition)
5th Edition
ISBN: 9780134494043
Author: Jeff Bennett, William L. Briggs, Mario F. Triola
Publisher: PEARSON
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Chapter 9.2, Problem 49E
To determine
Explain the meaning of type I and type II errors.
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Retaining a false null hypothesis, which type of error it is?
Which is the correct null hypothesis based on this statement: People with diabetes have higher systolic blood pressure than people without diabetes?
People with diabetes have lower systolic blood pressure than people without diabetes.
People with diabetes have equal systolic blood pressure when compared to people without diabetes.
People with diabetes have a systolic blood pressure equal to or lower than people without diabetes.
None of these are a null hypothesis.
Formulate the null and alternative hypothesis and identify the type of test.
1. The manufacturer of a certain brand of cigarettes claims that the average nicotine content does not exceed 2.5 mg state the Ho and HI in testing and determine what type of test to be utilized.
Chapter 9 Solutions
Statistical Reasoning for Everyday Life (5th Edition)
Ch. 9.1 - Hypotheses and Hypothesis Tests. What is a...Ch. 9.1 - Null and Alternative Hypotheses. What is a mill...Ch. 9.1 - Hypothesis Test Outcomes. What are the two...Ch. 9.1 - P-Value. What is a P-value for a hypothesis?Ch. 9.1 - Does It Make Sense? For Exercises 512, determine...Ch. 9.1 - Does It Make Sense? For Exercises 512, determine...Ch. 9.1 - Significance. The results of my hypothesis test...Ch. 9.1 - Does It Make Sense? For Exercises 512, determine...Ch. 9.1 - Does It Make Sense? For Exercises 512, determine...Ch. 9.1 - Does It Make Sense? For Exercises 512, determine...
Ch. 9.1 - Prob. 11ECh. 9.1 - Does It Make Sense? For Exercises 512, determine...Ch. 9.1 - What Is Significant? In testing a method of gender...Ch. 9.1 - What Is Significant? In testing a method of gender...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Prob. 19ECh. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Formulating Hypotheses. In Exercises 1522, state...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.1 - Drawing a Conclusion from a Hypothesis Test. If we...Ch. 9.2 - Notation. Briefly describe what each of the...Ch. 9.2 - Standard Score. When testing a claim about a...Ch. 9.2 - Critical Values. What do we mean by critical...Ch. 9.2 - Prob. 4ECh. 9.2 - Prob. 5ECh. 9.2 - Prob. 6ECh. 9.2 - Does It Make Sense? For Exercises 512, determine...Ch. 9.2 - Prob. 8ECh. 9.2 - Prob. 9ECh. 9.2 - Prob. 10ECh. 9.2 - Prob. 11ECh. 9.2 - Prob. 12ECh. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using Critical Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Prob. 27ECh. 9.2 - Prob. 28ECh. 9.2 - Using P-Values to Reject or Not Reject. In...Ch. 9.2 - Prob. 30ECh. 9.2 - Prob. 31ECh. 9.2 - Prob. 32ECh. 9.2 - Prob. 33ECh. 9.2 - Prob. 34ECh. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Prob. 38ECh. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Prob. 41ECh. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Hypothesis Tests for Means. For Exercises 3548,...Ch. 9.2 - Prob. 44ECh. 9.2 - Prob. 45ECh. 9.2 - Prob. 46ECh. 9.2 - Prob. 47ECh. 9.2 - Prob. 48ECh. 9.2 - Prob. 49ECh. 9.2 - Type I and Type II Errors. In Exercises 4952, a...Ch. 9.2 - Prob. 51ECh. 9.2 - Prob. 52ECh. 9.3 - Notation. What do n, p, p, and P-value represent?Ch. 9.3 - Standard Score. When testing a claim about a...Ch. 9.3 - Prob. 3ECh. 9.3 - P-Value. A P-value of 0.00001 is obtained when...Ch. 9.3 - Prob. 5ECh. 9.3 - Prob. 6ECh. 9.3 - Prob. 7ECh. 9.3 - Does It Make Sense? For Exercises 59, determine...Ch. 9.3 - Prob. 9ECh. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Prob. 11ECh. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Prob. 16ECh. 9.3 - Prob. 17ECh. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9.3 - Hypothesis Tests for Population Proportions. For...Ch. 9 - A random sample of 40 quarters minted after 1964...Ch. 9 - In a study of smokers who tried to quit smoking...Ch. 9 - Finding a Job Through Networking. In a survey of...Ch. 9 - A medical student wants to test the claim that...Ch. 9 - Identify the null and alternative hypotheses for...Ch. 9 - Identify the null and alternate hypotheses for...Ch. 9 - Identify the null and alternative hypotheses for...Ch. 9 - Prob. 4CQCh. 9 - Prob. 5CQCh. 9 - Prob. 6CQCh. 9 - In Exercises 510, assume that we want to use a...Ch. 9 - Prob. 8CQCh. 9 - In Exercises 510, assume that we want to use a...Ch. 9 - Prob. 10CQ
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- In the process of completing a hypothesis test, when it comes to decide if we should "Reject the Null Hypothesis" or if we "Do Not Reject the Null Hypothesis", how can we use the P-value to help make our decision? Choose the correct answer to fill in the blank. If our p-value is (less than/ greater than) _________________ the signicance level (?), then we (Reject the Null Hypothesis/ Do Not Reject the Null Hypothesis) _____________________.arrow_forwardThe error of rejecting a true null hypothesis is a. a Type I error b. a Type II error c. can be either a or b, depending on the situation d. committed when not enough information is availablearrow_forward2) Assume you are conducting a hypothesis test to determine if pesticides cause cancer in rural areas. The hypotheses are: The null hypothesis is no cancer. The alternate hypothesis is cancer. Select if the result for Box D is correct, a Type I error, a Type II error or if there is insufficient information to make the decision.arrow_forward
- the null and alternative hypothesisarrow_forwardResearch Question: Do 60% of student prefer iPhone and 40% prefer Android? A Lecturer is interested in the type of Mobile phone students use. He surveyed a sample of 45 male and female students and asked them whether they use iPhone or Android. IPhone Android Total Observe 25 20 45 Perform an appropriate hypothesis test to answer the above research question. -Enter the values for H0. H0:π1= π2= -The alternate hypothesis is: (Choose from A or B or C) A. H0:π1≠π1≠ 0.6 B. The proportions are not as stated C. Something else From the following sample, calculate the expected number in each group (to two decimal places) and place your answers in the boxes provided. iPhone Android Total Observed Expected 25 ? 20 ? 45 45 The assumption is: Choose from below -The boxplots indicate that the samples are fairly symmetric and the spreads are similar, so we can assume both sets of data come from normal distributions with…arrow_forwardIn Exercises, hypothesis tests are proposed. For each hypothesis test, a.determine the null hypothesis.b.determine the alternative hypothesis.c.classify the hypothesis test as two tailed, left tailed, or right tailed. Iron Deciency? Iron is essential to most life forms and to normal human physiology. It is an integral part of many proteins and enzymes that maintain good health. Recommendations for iron are provided in Dietary Reference Intakes, developed by the Institute of Medicine of the National Academy of Sciences. The recommended dietary allowance (RDA) of iron for adult females under the age of 51 years is 18 milligrams (mg) per day. A hypothesis test is to be performed to decide whether adult females under the age of 51 years are, on average, getting less than the RDA of 18 mg of iron.arrow_forward
- A software company advertises that its software can improve students' grades by at least 15%. One student conducts a hypothesis test to see if the percentage increase is less than 15%. The conclusion of the hypothesis test is to reject the null hypothesis. If the true percentage increase in grades for all students using the software is 13%, was an error committed? If so, what type? A: Yes; Type one error B: Yes ; Type two error C: No ; Correct decisionarrow_forwardSuppose 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.arrow_forwardDiscuss the errors that can be made in hypothesis testing. What is a Type I error? Why might it occur? What is a Type II error? How does it happen?arrow_forward
- Select the null hypothesis Ho: Males and females do not differ in the amount of money they have on them Ho: Males and females will differ in the amount of money they have on themarrow_forwardDescibe the difference between the null hypothesis and alternative hypothesis. How do we denote each of these?arrow_forwardA researchers claims 45% of couples have children. They conduct a hypothesis test and reject the null hypothesis. What type of error could have been committed here? Type 1, type 2, or power if the test?arrow_forward
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