Across
- 3. Selecting 20 employees (out of a hat) from a company of 400 and surveying those 20 on the effect of sitting down all day staring at a screen and how it has an effect on their mental and physical health.
- 6. A researcher studies absence rates and grades in middle and high schools, meaning they are studying the what between absence rates and decreasing grades.
- 10. A researcher wanted to see if being married makes one happier or not. Instead of manipulating any independent variables, the researcher chose to select single people and married people as their sample group, and then proceed to rate their happiness.
- 12. Is the group of people that are being studied in a certain experiment. These are what the data is representing. Three types of population: expansive, constrictive, and stationary. The group of things that we want information about.
- 14. It is an accurate measurement, invites criticism, has a willingness to change if new evidence is found, strict peer review, takes all new discoveries into consideration and has verifiable results.
Down
- 1. The amount of phone usage before bed in an experiment on how phone use before bedtime affects sleep.
- 2. This study is trying to establish how two parameters in a population might move together or not without any researcher influence. It is crucial to avoid saying that this study shows you something because that would insinuate causality.
- 4. In an experiment on how phone use before bedtime affects sleep, this variable would be the number of hours of sleep and the quality of sleep.
- 5. A researcher tells their sample group that they will be given a happy pill. However, they do not know that it is actually a sugar pill (placebo). After the pill has been in their system, some begin to react “happier” or more up-beat. Since some of the people in the sample group already had a predisposed thought that the pill would make them “happier”, they began to show those symptoms thinking it was the pill.
- 7. This study is about proving causality between two variables. A sample is randomly selected and split into groups in order to avoid confounding variables. The Independent & dependent variables are measured by changing one variable(independent) to see if it affects the other(dependent)
- 8. Activities and or beliefs that claim to be “scientific”. They are fixed ideas, they have no peer review, only take favorable discoveries into consideration, estimate measurements (not accurate), see criticism as conspiracy and the results are non-repeatable.
- 9. A professor is going to study their classroom that has a population of 120 students. From the population, they will choose four groups, but each group will be divided into stratas by the students’ academic grade. The four strata will be divided by students with an A, B, C, and D/F. From each strata, the professor will take 3 students, so the total sample will be 12 students.
- 11. Part of the population we take out to examine and draw conclusions from.
- 13. An experimenter studies how phone usage before bed affects sleep, meaning they are studying how the phone usage before bed causes the quality of sleep to decrease.