true or false? why ( explain ) if p-value is 0.02, this means that there is...
true or false? why ( explain )
if p-value is 0.02, this means that there is 2% probability that null hypothesis is true.
Homework Answers
False
p value tells us that if null hypothesis is true then you will get observed difference or more (chance of getting difference is 2%) in 2% of studies because of sampling error
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true or false? why ( explain )
if p-value is 0.02, this means that there is...
Briefly discuss the difference between the "Alpha level" (α) and the "p-value". True or False: Reject...
Briefly discuss the difference between the "Alpha level" (α) and the "p-value". True or False: Reject the null hypothesis when α = 0.042 and p-value = 0.03 True or False: Retain the null hypothesis when α = 0.02 and p-value = 0.010 True or False: Reject the null hypothesis when α = 0.01 and p-value = 0.005 True or False: Retain the null hypothesis when α = 0.001 and p-value = 0.02
Question 2: Indicate whether each of the following statements is true or false and explain concisely...
Question 2: Indicate whether each of the following statements is true or false and explain concisely why. 5. The null hypothesis is initially presumed to be true. If we reject it after a hypothesis test, it means we are certain the null hypothesis is false.
Q23-Statistical power provides the same information as a p-value. True or False? 24. A statistically significant...
Q23-Statistical power provides the same information as a p-value. True or False? 24. A statistically significant effect (i.e., p < .05) will always be practically meaningful. True or False ? 26. Rejecting the null hypothesis means that the sample outcome is very unlikely to have occurred if H0 is true. True or False ?
2. Answer the following questions with TRUE or FALSE. It is good practice to explain your...
2. Answer the following questions with TRUE or FALSE. It is good practice to explain your answers, Assume the p-value for a hypothesis test of H 4 = M2 is 0.0020 (a) Our conclusion at any common value of a would be to reject Ho. (b) This means the probability of Ho being true is 0.0020. (c) The one-sided p-value for this test would then be 0.0010. (d) This means the probability of a Type II error is 0.0020.
Determine if the following statements are true or false, and explain your reasoning. If false, state...
Determine if the following statements are true or false, and explain your reasoning. If false, state how it could be corrected. (a) If a given value (for example, the null hypothesized value of a parameter) is within a 95% confidence interval, it will also be within a 99% confidence interval. O true false (b) Decreasing the significance level (a) will increase the probability of making a Type 1 Error. false O true (c) Suppose the null hypothesis is u =...
not rejecting the null hypothesis means that the assigned value under the null is the true...
not rejecting the null hypothesis means that the assigned value under the null is the true population value. true or false
Determine whether the following statements are true or false. If the statement is false, then explain...
Determine whether the following statements are true or false. If the statement is false, then explain why the statement is false or rewrite the statement so that it is true. A Type I error in a hypothesis test occurs when we fail to reject the null hypothesis when the null hypothesis is actually false. A Type II error occurs when we reject the null hypothesis when the null hypothesis is actually true.
True or false. If the p-value is 6%, then we reject the null hypothesis and accept...
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
QUESTION 21 A p value is the probability of obtaining the value of the test statistic...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...
1. Answer to following with "True" or "False". Explain your answers briefly. (if false, explain what...
1. Answer to following with "True" or "False". Explain your answers briefly. (if false, explain what happen instead also) (a) Suppose that we observe a random variable Y that depend on another observed value x, through the relationYo+By+ewhere Bo,ßı and x are (b) We can reduce a by pushing the critical regions further into the tails of the (c) Decrease in the probability of the type II error always results in an increase in constants ande N(0,1). Then Y N(O,(Po+Bix)-)...
Question 2: Indicate whether each of the following statements is true or false and explain concisely why. 5. The null hypothesis is initially presumed to be true. If we reject it after a hypothesis test, it means we are certain the null hypothesis is false.
2. Answer the following questions with TRUE or FALSE. It is good practice to explain your answers, Assume the p-value for a hypothesis test of H 4 = M2 is 0.0020 (a) Our conclusion at any common value of a would be to reject Ho. (b) This means the probability of Ho being true is 0.0020. (c) The one-sided p-value for this test would then be 0.0010. (d) This means the probability of a Type II error is 0.0020.
Determine if the following statements are true or false, and explain your reasoning. If false, state how it could be corrected. (a) If a given value (for example, the null hypothesized value of a parameter) is within a 95% confidence interval, it will also be within a 99% confidence interval. O true false (b) Decreasing the significance level (a) will increase the probability of making a Type 1 Error. false O true (c) Suppose the null hypothesis is u =...
1. Answer to following with "True" or "False". Explain your answers briefly. (if false, explain what happen instead also) (a) Suppose that we observe a random variable Y that depend on another observed value x, through the relationYo+By+ewhere Bo,ßı and x are (b) We can reduce a by pushing the critical regions further into the tails of the (c) Decrease in the probability of the type II error always results in an increase in constants ande N(0,1). Then Y N(O,(Po+Bix)-)...
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