Question

Correlational versus Experimental Studies 1. a. describe a correlation b. describe an experiment C. describe the difference between correlations and experiments For each of the following studies: 2. Decide whether the study is correlational or experimental. 3. Describe why you made your choice between an experiment or correlation. Do not simply restate the definition of an experiment or correlation. For each study below, do "a" or "b", but not both. a. If the study is correlational, identify the two variables and identify whether the correlation is either positive or negative. b. If the study is experimental, identify the two variables and identify the independent and dependent variable(s). maske hark names waogat non in performance) سیاسی نمیامیں Study 1: Cuerdono du LAB e e A Dartmouth study found that overweight young women (age 23) earned 6.4% less we than their non-overweight peers. howling was study Study 2: . postire correlation In that same Dartmouth study in study 1, it found that young men's earnings rose 2% for each 4-inch increase in height. Carners die het nse cuero Incruse in heighth may have progressivly earned pag increase Rases, primo Study 3 An Australian study reported that MSG does not cause people to be sick, as previously reported. The researcher told subjects that he was studying ingredients in a new soft drink and fed them either MSG or a placebo in the drink. The same number and type of symptoms were reported in both the MSG and the placebo groups. experimental, what was in place to drink? how long was the Study in the?' Study 4: USA Today reported that if the Super Bowl is won by one of the original NFL teams then the stock market ends the year with a gain. If one of the original NFL teams loses the Super Bowl, then the stock market ends with a loss. correlational negarre 1/11/2020

Answer 1

1. Correlation is the study to calculate how two variables are related. It can be a positive correlation, negative correlation or zero correlation.

A positive correlation indicates that if one variable increases the other variable also increases at the same time.

A negative correlation exists when one variable increases that decrease the other variable at the same time.

Zero correlation exists when there is no correlation between the two variables.

It is useful in making predictions, reliability, validity, and for theory verification.

An experiment is done to find the cause and effect. In an experiment by manipulating the independent variable the effect on a dependent variable can be calculated, and extraneous variables are controlled. It is the study of investigation where the hypothesis is scientifically calculated. There are various methods the experiment can be done. 1. Laboratory, 3.Field experiment, 3.Naturalexperiment,

3. The difference between correlation and experiment are as follows

1. The experiment calculates causes (independent) and effect (dependent variables), 2. It states a clear theory, 3. It makes a hypothesis for the experiment 4. Observe and measure 5. Make a conclusion and find the result

A correlation finds the relationship between the two variables that means the experiment can find the cause and effect and co-relation can establish a relationship between the variables that allow researchers to investigate the naturally occurring variables.

Study I

A Dartmouth study-----:1. Negative correlation 2.reason: As the weight of the woman increases the earning decreases.

Study II

For the same Dartmouth---- 1. Positive correlation. 2. As the height of the men increases the earning increases.

Study III

An Australian Study.--- 1. Experiment .2. The hypothesis to find out the effect of MSG 3. MSG and placebo are independent variables, and the 4. Dependent variables are the effect of MSG, 5 Result: there is no ill effect of MSG on health.

Study IV

USA Today reported---- 1. Positive correlation 2. The winning by one of the original NFL the Super Bowl tournament people would buy more shares and the stock market would gain,3. And the negative correlation that if the team loses the price in the stock market would fall.