Question
1)If a difference between two groups is statistically significant, it means that the difference is important and meaningful? True False 2)A research study to determine
1)If a difference between two groups is statistically significant, it means that the difference is important and meaningful? True False
2)A research study to determine whether a new drug works better than an existing drug to reduce pain symptoms. Based on the data you collect from your sample, you conclude that the new drug does work better, but in reality, the new drug does not work better than the existing drug. What type of error did you make?
A.Type 2 error
B.No error
C.Random error
D.Type 1 error
3)You collect data from a sample of the population and determine that the mean age in your sample is 27.5 years old. Which statistic will allow you to determine whether this sample mean is likely to be close to the true mean in the population that the sample was drawn from?
A.Pvalue
B.Confidence interval
C.None of these
D.Standard deviation
4)a correction coefficient of -1.0 means that there no association between the two variables being compared? True/ false
5)Which of the following indicates a strong, inverse association between two variables? A.
A.r= 0.95
B.r = -0.05
C.r = 0.05
D.r= -0.95
E.r= 0
6)Which of the following is not a measure of effect size?
A.Relative risk
B.Mean difference
C.Correlation coefficient
D.P value
7)A statistic refers to the true value in a population, while a parameter is an estimated value from a sample of the population? True /False
8)If you see a strong association between an independent variable and a dependent variable, it is appropriate to conclude that the independent variable is causing the changes in the dependent variable? True/False
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