In: Statistics and Probability
A high school believes that their seniors have gotten exceptionally high SAT scores this year, and they want to compare the SAT scores of their 400 seniors to the SAT scores of all the high school seniors in the country.
What is the best statistical test to use to analyze the hypothesis in scenario 1?
Group of answer choices
One-way ANOVA
Two Sample Z-Test
Factor Analysis
Correlation Coefficient
Independent sample t-Test
Dependent sample t-Test
Z-Score
Structural Equation Model
One Sample Z-Test
Which of the following is the null hypothesis for scenario 1?
Group of answer choices
HO: µ1 = µ2
HO: µ1 = µ2 =µ3
H0: X = µ
r = 0
What is the alternative hypothesis for scenario 1?
Group of answer choices
H1: X1 ≠ X2 ≠ X3
H1: X ≠ µ
r ≠ 0
H1: m1 < m2
Researchers are interested in studying whether time spent on social media is associated with happiness. They ask participants to rate the amount of time they spend on social media each week, and also measures their reports of happiness (on a scale of 1-10).
Which of the following is the null hypothesis for scenario 2?
Group of answer choices
H0: X = µ
H0: rxy > 0
H0: µ1 = µ2 = µ3
H0: rxy = 0
Which of the following is the alternative hypothesis for scenario 2?
Group of answer choices
H1: rxy = 0
H1: rxy >0
H1: X ≠ µ
H1: µ1 ≠ µ2 ≠µ3
Which of the following is the independent variable for scenario 2?
Group of answer choices
There is no independent variable in this study (because it is correlational)
Time spent on social media
Happiness
The participants
The laboratory
Which of the following is the dependent variable for scenario 2?
Group of answer choices
The participants
There is no dependent variable in this study (because it is correlational)
Time spent on social media
Happiness
The laboratory
W
hat is the best statistical test to use to analyze the hypothesis in scenario 2?
Group of answer choices
Dependent sample t-Test
z-test
Independent sample t-Test
Structural Equation Model
Correlation Coefficient
z-score
One-way ANOVA
Factor Analysis
The best statistical test to use to analyze the hypothesis in scenario 1: One Sample Z-Test
Explanation: One sample z-Test is chosen because we have to compare socre of SAT scores of their 400 seniors to the population SAT scores. There is is only one sample of 400 seniors.
The null hypothesis for scenario 1: H0: X = µ
The alternative hypothesis for scenario 1: H1: X ≠ µ
The null hypothesis for scenario 2: H0: rxy = 0
The alternative hypothesis for scenario 2: H1: rxy >0
The independent variable for scenario 2: There is no independent variable in this study (because it is correlational)
Explanation: As the researcher wants to find out whether there is association between the time spent on social media and happiness. So there is no independent variable
The dependent variable for scenario 2: There is no dependent variable in this study (because it is correlational)
Explanation: As the researcher wants to find out whether there is association between the time spent on social media and happiness. So there is no dependent variable
The best statistical test to use to analyze the hypothesis in scenario 2: Correlation Coefficient