Question

The following 4 questions refer to Scenario 4. Generally speaking, people are pretty bad at telling whether or not someone is lying. Researchers are interested in studying if age is associated with ability to tell if someone is lying. Researchers compare a group of children (ages 8-10), adolescents (ages 14-17), and adults (ages 25-45) on their ability to tell if a person in a recorded video is lying or telling the truth.

1. What is the null hypothesis for scenario 4?

a. HO: µposttest = µpretest

b. r = 0

c. HO: µ1 = µ2 =µ3

d. H0: X = µ

__________________

2. What is the independent variable for scenario 4?

a. age group (children vs adolescents vs adults)

b. how much children can tell if you are lying

c. ability to detect lies

d. the participants

e. There is no independent variable in this study

_______________

3. What is the dependent variable for scenario 4?

a. ability to detect lies

b. how much children can tell if you are lying

c. age group (children vs adolescents vs adults)

d. There is no dependent variable in this study

e. the participants

________________

4. What is the most appropriate test statistic to use to test the hypothesis in scenario 4?

a. correlation coefficient

b. regression

c. dependent samples t test

d. z-test

e. z-score

f. independent samples t-test

g. one way ANOVA

Answer 1

1. c. HO: µ1 = µ2 =µ3. The null hypothesis states that there will be no difference among the three groups. Hence, the performance of children, adolescents and adults would be equal.

2. a. a. age group (children vs adolescents vs adults). It is the variable that is being manipulated across conditions.

3. a. the ability to detect lies. It is the variable on which the effect of the independent variable is studied.

4. g. One way ANOVA is the most appropriate. This is because there are three samples involved (why ANOVA should be used) and only a single independent variable (why ANOVA should be one way).