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    Type I and Type II Errors

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    Type I and Type II Errors: Statistical Significance

    Question 1: What is a type I and type II errors in hypothesis testing? What would be examples of each? Explain Question 2: What is the difference between statistical significance and practical significance? Why is statistical significance not necessarily of practical important difference to a business decision? Provide a

    Identify Type I and Type II errors in cell phones

    Identifying Type I and II error that corresponds to the given hypothesis. The percentage of households with at least two cell phones is less than 60%. (i) Type I error (in the words of the problem): (ii) Type II error (in the words of the problem):

    9 Statistics questions: test statistic, p-value, type I and II errors

    1. Find the critical z values. In each case, assume that the normal distribution applies Left-tailed test, &#945; =0.05 2. &#913; = 0.005; H1 is p &#8800; 0.20 3. Use the given information to find the P-value The test statistic in a two-tailed test is z= -1.63 4. With H1:p<0.32, the test statistic is z=-1.90 5.

    Standard Deviation

    A researcher asks whether attending a private high school leads to higher or lower performance on a test of social skills when compared to students attending public schools. A sample of 100 students from a private school produces a mean score of 71.30. The population mean (m) for students from public high schools is 75.62. The p

    Statistics: What is the purpose for post tests?

    What is the purpose for post tests? A. To determine how much difference exists between the treatments. B. To determine which treatments are significantly different. C. To determine whether or not a Type I error was committed. D. None of these choices are correct.

    Statistics - Type I and Type II errors - Examples

    Describe the five steps of hypothesis testing. Compare Type I and Type II errors and give specific examples for each. Which error should be minimized the most and first? Compare Type I and Type II errors and give specific examples for each. Which error should be minimized the most and first?

    Statistics - Null and Alternate Hypothesis - Type of Error

    Dr. H wants to conduct a statistical test that will show her new medication to be effective in decreasing violence in criminals. a. What is the null hypothesis? b. What is the alternate hypothesis? She statistically shows that her medication decreases violence in criminals, but in actuality, it has no effect. c. What type

    Question about Type I and Type II Error

    Read the passage below, and then consider the following scenario. A physician is trying to decide whether to prescribe medication for cholesterol reduction in a 45-year-old female patient. The null hypothesis is that the patient's cholesterol is less than the threshold of treatable hypercholesterolemia. However, a sample of

    Identifying Errors and Tests: ER Visit and Lung Cancer

    Identifying errors: Write sentences describing type I and type II errors for a hypothesis test of the indicated claim. 1) ER Visits: A hospital spokesperson states that 2% of emergency room visit by college undergraduates are for alcohol-related health problems. Identifying tests: Determine whether the hypothesis test for

    Hypothesis Testing: Gasoline Example Problem

    The average gasoline price of one of the major oil companies has been $1.25 per gallon. Recently, the company has undertaken several efficiency measures in order to reduce prices. Management is interested in determining whether their efficiency measures have actually reduced prices. Answer the following questions for a hypothesi

    Question about Statistics - Type I and Type II Errors

    A researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOs) of major corporations. He believes that the mean systolic blood pressure, , of CEOs of major corporations is different from mm Hg, which is the value reported in a possibly outdated journal article. He plans to perf

    Calculating the Probability of Type II Error

    A sample of 200 items will be taken and the population standard deviation is σ; = 10. Use α = .05. Compute the probability of making a Type II error, if, unbeknownst to the tester, the real mean is 18. Show all work and include a sketch that represents β.

    Hypothesis Testing

    Show how and if genetically modified foods are different from non-genetically modified (NGM) foods. Assume you are continuing your analysis of GM and NGM foods, and answer the following questions: 1. What would be the practical negative impact if your hypothesis test incurred a Type I Error? What would be the practical neg

    Hypothesis test; Type I errors and Type II error

    A man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hopes will convince the jury to reject the hypothesis that the man is innocent. This situation can be ...there is moreshow problem A man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hop

    Statistics - Hypothesis Testing and Type 2 Error - A corporation owns a factory that produces sulfuric acid. Because of changing conditions, the plant's output is quite ...

    A corporation owns a factory that produces sulfuric acid. Because of changing conditions, the plant's output is quite variable. The company's president has observed that the output is normally distributed with a mean of 8,200 pieces per hour. He recently has been informed that the government is considering a new law that would

    Hypothesis-testing methodology

    I would like you help to explain this problem... 9.13 In the U.S. legal system, a defendant is presume innocent until proven guilty. Consider a null hypothesis H o. that the defendant is innocent, and an alternative hypothesis H 1 that the defendant is guilty. A jury has two possible decisions: Convict the defendant(i.e., do

    Coffee Time Case Study: Type I and Type II Errors

    CoffeeTime has made great strides in gaining market share in Mumbai. In order to maximize our profit potential in this challenging market, it will be necessary to carefully analyze predictors of increased revenue so that we do not spend on unnecessary advertising or raise prices out of proportion to the market. Therefore, we hav

    These are non-statistical testing questions For each, identify the hypotheses, define Type I and Type II errors, and discuss the consequences of each error. 11.1 It is the responsibility of the federal government to judge the safety and effectiveness of new drugs. There are two possible decisions: approve the drug or disapprove the drug. H0 : H1 :

    These are non-statistical testing questions For each, identify the hypotheses, define Type I and Type II errors, and discuss the consequences of each error. In setting up the hypotheses, you will have to consider where to place the "burden of proof" 11.1 It is the responsibility of the federal government to judge the safety

    Question about Type I and Type II Errors

    The Oasis Chemical Company develops and manufactures pharmaceutical drugs for distribution and sale in the United States. The pharmaceutical business can be very lucrative when useful and safe drugs are introduced into the market. Whenever the Oasis research lab considers putting a drug into production, the company must establ

    Jury and Type I and Type II Errors

    Using null hypothesis and alternative hypothesis if juries must make a decision about the guilt or innocence of a defendant: Suppose you are on a jury of a murder trial. It is obviously a mistake if the jury claims the suspect is guilty when in fact he/she is innocent. a. What type error would this be? b. What is the other t

    Type I error, Type II error, confidence interval

    1. A Type II error is committed when a) we reject a null hypothesis that is true. b) we don't reject a null hypothesis that is true. c) we reject a null hypothesis that is false. d) we don't reject a null hypothesis that is false. 2. A Type I error is committed when a) we reject a null hypothesis that is true. b) we

    A man is on trial accused of murder in the first degree: Type I or Type II error?

    A man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hopes will convince the jury to reject the hypothesis that the man is innocent. This situation can be modeled as a significance test with the following hypotheses: Ho: The defendant is innocent H1: The defendant is not innocent S

    Statistics - Alpha and Beta Risk - Risk Management

    How might type I and type II errors relate to quality control and risk management in differing industries?For example, manufacturing pharmaceuticals versus shoes? Which industries might opt toward one error over another and why? Description on the following: Type I error -- Wrongful Rejection (Alpha risk) Type II error -- W

    Statistics Definitions - F Distribution

    Please help by giving substantive definitions to help me understand the following statistics terms. F distribution F test independent sample paired comparison paired samples paired t test pooled estimate pooled proportion pooled variance two-sample tests Type I error and Type II error.