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The null hypothesis is the prediction that there are no differences between the mean of the...

The null hypothesis is the prediction that there are no differences between the mean of the population and the mean of your sample. Question 1 options: True False Save Question 2 (1 point) The hypothesis that your sample mean is significantly different from the population mean is called the Alternative hypothesis or _________________. Question 2 options: a) Null hypothesis b) Research Hypothesis c) One-Tailed Test d) Two-Tailed test Save Question 3 (1 point) If you are running a test to find out whether or not a particular drug works better than a placebo in controlling depression, and you have no idea whether the effects of the drug will increase depression or decrease depression, you want to run a _____________. Question 3 options: a) Research study b) One-Tailed Test c) NHST d) Two-Tailed Test Save Question 4 (1 point) When you incorrectly reject the null hypothesis and claim there are significant differences between your two means, and no such difference exists in the population, you have a(n) _____________ Question 4 options: a) Type I Error b) unstandardized effect size c) Type II Error d) there is not enough information given to determine Save Question 5 (1 point) A Type II Error occurs when you fail to reject the null hypothesis when it is true. Question 5 options: a) True b) False **Please help me with my homework I only got 2/5 correct. Thank you**

Homework Answers

Answer #1

1)true

2)The hypothesis that your sample mean is significantly different from the population mean is called the Alternative hypothesis or  b) Research Hypothesis

3) If you are running a test to find out whether or not a particular drug works better than a placebo in controlling depression, and you have no idea whether the effects of the drug will increase depression or decrease depression, you want to run a  d) Two-Tailed Test

4)

When you incorrectly reject the null hypothesis and claim there are significant differences between your two means, and no such difference exists in the population, you have a a) Type I Error  

5)

A Type II Error occurs when you fail to reject the null hypothesis when it is true : False

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