thought questions unit 1 - Thought Questions(Unit 1 Pysch...

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Thought Questions (Unit 1) Pysch 210 1. Descriptive Statistics are statistical procedures used to summarize, organize, and simplify data. Ex. Finding mean, median, mode, Stdev... etc. 2. A population is the set of all the individuals of interest in a particular study. The sample is a set of individuals selected from the population usually intended to represent the population in a research study. 3. Random Selection is when a group of individuals are randomly chosen from the population to represent in the sample. The importance of random selection is that all groups from the population are represented in the sample. 4. In inferential statistics researchers use sample stats to draw conclusions such as interpreting the outcome as either there IS a correlation between the IV and DV or there ISN'T a correlation between IV and DV. 5. A result is said to be significant when the null hypothesis is extremely unlikely to occur. 6. Random assignment refers people randomly assigned to groups within the study. It strengthens the study because you wont have all healthy people, women, or athletes in one group they are just randomly assigned to each of the groups and it creates a more fair testing environment. It's more important than random selection because it is extremely hard to find people to represent all groups within the population to use in your study. 7. Independent variable - variable that is manipulated by the researcher. Consists of antecedent conditions that were manipulated prior to observing the dependent variable. Dependant Variable – Observed in the order to assess the effect of the treatment. Confounds - the things that could disrupt the results of the variable such as time of day, environment, type of people. True Experiment - active manipulation of the IV (causing something to happen to it), random assignment to conditions, good control over extraneous variables, if well done, then causal conclusions. Quasi - impossible to control manipulation over time. Many research studies involve comparing groups that were not created by manipulation an independent variable (such as male vs. female) or a time variable (such as before treatment vs. after treatment) In these non-experimental studies the variable that determines the group is called a quasi-independent variable. (no random assignment). Correlational - No manipulation or random assignment. Survey. 8. In true experiments you have more of a representation of the population because of random assignment and you have more control over confounding variables and manipulation so your information becomes more accurate because you have more control over your experiment and subjects when in correlational experiments you do not have any manipulation or random assignment. 9. Quasi-Experiments could be used when you don't have the resources to randomly assign people to the experimental groups. Like when you compare students from different schools you may use the students that are readily available in one group and students from a different school also readily available in a different group.
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