Pleases can you explain why we choose the answers. 1. True or False. If a statis

Question

Pleases can you explain why we choose the answers. 1. True or False. If a statistical significance is found when performing a test of significance, then practical significance will also be found A) True B) False 2. The probability you reject the null hypothesis when in fact the null hypothesis is true is called . A) a Type I error B) a Type II error C) the power 3. A medical researcher is working on a new treatment for a certain type of cancer. The average survival time after diagnosis on the standard treatment is 2 years. In an early trial, she tries the new treatment on three subjects who have an average survival time after diagnosis of 4 years. Although the survival time has doubled, the results are not statistically significant even at the 0.10 significance level. What is the best explanation? A) A placebo effect is present, which limits statistical significance. B) The sample size is too small to determine if the observed increase cannot be reasonably attributed to chance. Although the survival time has doubled, the actual increase is only 2 years. The calculation was in error, an increase of 2 years is very significant. C) D) 4. Determine whether each of the following statements regarding increasing the value of the power is true or false. A) The power will increase when we increase the significance level a. B) The power will increase when we increase the sample size. C) The power will increase when we consider an alternative value that is further from the null value (the value of the parameter of interest under the null hypothesis). D) The power will increase when we increase the standard deviation. 5. significance determines whether the observed differences between the observed sample mean and population mean are beneficial. A) Practical B) Statistical 6. Very sample sizes will allow very small effecets to become statistically significant A) large B) small

Explanation / Answer

1) FALSE BECAUSE THE STATISTICAL SIGNIFICANCE MAY NOT BE OF PRACTICAL SIGNIFICANCE.

2) The Type I error is the probability of rejecting the null hypothesis given that it is true.

3) The sample size is too small to determine if the observed increase can not be reasonably attributed to chance.

4) A ) TRUE

B) TRUE

C) TRUE

D) FALSE

5) PRACTICAL SIGNIFICANCE

6) SMALL

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