1. To figure out if music volume increases workout intensity, a researcher has ten people listen to music at a medium volume during their first workout, then at a loud volume during their second workout. Is this a between-subjects or within-subjects design? Group of answer choices A. Within-Subjects. B. Between-Subjects   2. A research is interested to know if social media usage increases political engagement. A researcher randomly assigns 60 people to either scroll through Twitter, Facebook, and Instagram for an hour a day, or to avoid social media altogether. Political engagement scores are compared between the two groups. Which test would I use to determine if there are differences between the two groups? Group of answer choices A. One-Sample T-Test B. Independent Groups t-test C. One-Sample Z-Test D. Correlated Groups T-Test

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 21PPS
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1. To figure out if music volume increases workout intensity, a researcher has ten people listen to music at a medium volume during their first workout, then at a loud volume during their second workout. Is this a between-subjects or within-subjects design?
Group of answer choices
A. Within-Subjects.
B. Between-Subjects
 
2. A research is interested to know if social media usage increases political engagement. A researcher randomly assigns 60 people to either scroll through Twitter, Facebook, and Instagram for an hour a day, or to avoid social media altogether. Political engagement scores are compared between the two groups. Which test would I use to determine if there are differences between the two groups?
Group of answer choices
A. One-Sample T-Test
B. Independent Groups t-test
C. One-Sample Z-Test
D. Correlated Groups T-Test

3. You want to know if you friend group has higher IQ scores than the population (μ = 100, σ = 15). You give IQ tests to 5 friends. Here are their scores: 95 110 100 105 95.  Are their average scores significantly higher than the population?

Which test would I use to solve this research problem?

A. Independent Groups T-Test
B. One-Sample T-Test
C. One-Sample Z-Test
D. Correlated Groups T-Test
 
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