Why is it important to know the standard deviation for a given sample? What do researchers learn about a normal distribution from knowledge of the standard deviation? A sample of n=20 has a mean of M = 40. If the standard deviation is s=5, would a score of X= 55 be considered an extreme value? Why or why not? Can you please d
Could you please explain Stratification to me in layman's terms and then read the attached article and detail how it was used therein? Reference: Lipchik, G. L., Nicholson, R. A., & Penzien, D. B. (2005). Allocation of patients to conditions in headache clinical trials: randomization, stratification, and treatment matching.
Find a research article; find the obtained value, and its level of significance. Discuss how comfortable you are with the inferences made by the researcher based on the theories of Type I and Type II errors.
Please help with the following problems. 1. Whether the appropriate analysis would be a one or two tailed test 2. A type I and type II error given the context of the hypothesis. The Hypothesis A. Cognitive behavior therapy (CBT) will be better than supportive therapy in reducing children's anxiety at posttreatment.
I need a real-world situation where Type I and Type II errors can occur and state the null and alternative hypotheses for that example. Could you please also explain what the Type I and Type II errors are for that example?
1. The SEM for a particular intelligence test (mean of 100, standard deviation of 15) is 3 points. Ken Garoo obtains an IQ score of 126, but needs an IQ of 130 to qualify for a Talented and Gifted (TAG) class. Calculate the range of Ken's true score: (a) with 68% probability, and (b) with 95% probability. Should Ken be admitted
1. You have been asked to evaluate if a particular coin is fair or not. You have decided to use the following test: Accept that the coin is fair if in 30 tosses the coin gives between 11 and 19 heads (inclusive); reject the hypothesis of fairness otherwise. Compute the Type I error rate of this test. Interpret, in plain wor
Given the following hypothesis test, what are the ramifications of a type I and type II error? Just reply in a sentence or two for each case. Forty perccent of overweight people have at least one symptom of disease X. A new diet plan purports to reduce the incidence of disease X symptoms in the overweight population. Using a
Given the following information, would your decision be to reject or fail to reject the null hypothesis? Setting the level of significance at .05 for decision making, please provide an explanation for your conclusion to help me understand the concepts. a) The null hypothesis that there is no relationship
8.4. What are the five steps to create a confidence interval for a z distribution? 8.6. What effect does increasing the sample size have on the standard error and the test statistic for every hypothesis test? 8.8. What does it mean to say the effect-size statistic, such as Cohen's d, neutralizes the influence of sample siz
1. Suppose you time how long it takes every student to complete this test, and assume that the results have a normal distribution with a mean of 120 minutes, and a standard deviation of 30 minutes. Let X be the time it will take you to complete the test. a. What is the probability that X is between 100 and the mean? b. Find P
#1. An investigator wants to estimate caffeine consumption in high school students. How many students would be required to ensure that a 95% confidence interval estimate for the mean caffine intake(measured in mg) is within 15 units of the true mean? Assume that the standard deviation in caffine intake is 68 mg. #2. Consid
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
1. Find the critical z values. In each case, assume that the normal distribution applies Left-tailed test, α =0.05 2. Α = 0.005; H1 is p ≠ 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.
We know from past research that very satisfied customers give the XYZ-Box video game system a satisfaction rating on our rating scale that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use a random sample of 65 satisfaction ratings to provide evidence supporting the claim that the mean satisfaction ratin
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
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.
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?
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
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
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
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
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
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
The feasibility of constructing a profitable electricity-producing windmill depends on the mean velocity of the wind. For a certain type of windmill, the mean would have to exceed 20 miles per hour in order for its construction to be warranted. The determination of a site's feasibility is a two stage process. In the first stage, readings of the wind velocity are taken and the mean is calculated. The test is designed to answer the question, Is the site feasible? In other words, is there sufficient evidence to conclude that the mean wind velocity exceeds 20 mph? If there is enough evidence, the site is removed from consideration. Discuss the consequences and potential costs of Type 1 and Type II errors.
The feasibility of constructing a profitable electricity-producing windmill depends on the mean velocity of the wind. For a certain type of windmill, the mean would have to exceed 20 miles per hour in order for its construction to be warranted. The determination of a site's feasibility is a two stage process. In the first sta
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
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
Solutions to Network Model problems related to Cost Minimization, and Shortest route algorithm are given with step by step explanation in easy to understand language.
Solutions to Network Model problems related to Cost Minimization, and Shortest route algorithm are given with step by step explanation in easy to understand language. Please see the problems if you need solutions to such type of problems. I assure, if you need solutions to such type of problems, you can use these solutions as mo
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
Dr. Easy saw the scores from the MA-222 test and used the occasion to test the old adage that girls are smarter than boys on subjects tested by ACT. Assume the degrees of freedom for this problem is 28. Dr. Easy did the arithmetic and found the value of the test statistic was 2.69 (alpha equals .05). What is the critical value (