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Type I and Type II Errors

Hypothesis Testing & Confidence

Question 1: Hypothesis testing allows you to verify whether a supposition is correct. By considering the variables, you may also be able to analyze the reason why the hypothesis is proven correct or incorrect. Describe in your own words the differences between type I and type II errors. In addition to your explanation, you ma

Standard Deviation, Hypothesis and Standard Error

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

Stratification

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.

Hypothesis Testing and 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.

Type I and Type II Errors and Controllable Factors

Define a type I error and explain why it occurs. Explain a factor that the researcher can control to change the type I error. Also, explain how type I errors can be avoided. Define a type II error and explain why it occurs. How do sample size, selection of alpha level, and precision of measurement affect the type II error rat

Type I and Type II Errors

In the last few years, an organization has conducted 200 clinical trials to test the effectiveness of anti-anxiety drugs. Suppose, however, that all of those drugs were obtained from the same fraudulent supplier, which was later revealed to have been sending only inert substances (e.g., distilled water, sugar pills) instead of r

Type I and Type II Errors in Everyday Life

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?

Intelligence Test, One-Tailed vs. Two-Tailed, Type I and Type II Error

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

Hypothesis Testing: One population

Please help with the following problem. In the US legal system, a defendant is presumed innocent until proven guilty. Consider a null hypothesis, Ho: that the defendant is innocent, and an alternative hypothesis, Ha: that the defendant is guilty. Explain the meaning of a jury committing a Type I error and of committing a Ty

Type I and II errors and Confidence interval

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

Type I and Type II Errors

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

Type I and Type II Errors of Null Hypotheses

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

Type I error explanation for statistics students

Metal detectors at airports are used to determine whether passengers are carrying weapons. If the null hypothesis states that a passenger isn't carrying a weapon, a type I error would occur whenever A) a weapon-free passenger passes the detector without activating the alarm. B) a weapon-free passenger passes the detector and

Confidence interal, standard error, Cohen's d, Type II

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

Probability Type I or Type II Error: Soft-Drink Machine Example

A soft-drink machine at a steak house is regulated so that the amount of drink dispensed is approximately normally distributed with a population mean of 200 millilitres and a standard deviation of 15 millilitres. The new machine is checked periodically by taking a sample of 9 drinks and computing the average content. If x̅ fall

Power and type 2 error

Explain whether the following statements are correct. A type II error is the error of rejecting the null hypotheis when it is true. The type II error is denoted by (1-beta). Therefore the statistical power is the compliment of the risk of type II error. Factors that increase statistical power also decrease the risk of a t

Type 1 and 2 errors: Southern children

A researcher collects data on children's weights from a random sample of children in the South and concludes that children in the South weigh less than the national average. The researcher, however, does not realize that the sample includes many children who are small for their age and that in reality, there is no difference in

Correctness of a study: significant consequences if negative

In terms of correctness of a study, I agree type one errors can be very important. With Type II errors there are more negative consequences if the result is wrong but assumed to be correct. Do you think that there would be significant consequences if the study were to be correct but assumed to be negative?

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