Sampling
Experiment
Averages
Statistics
Random
100

What is sampling error?

The degree to which a sample's characteristics differ from the population. 

100

Which variable gets manipulated in an experiment?

IV
100

What is a mode?

The most common data point

100

What is SD mean?

Standard Deviation

100

What is a cross-sectional dataset?

Data taken at a single point in time.

200

Which type of sample can you not calculate sampling error for?

non-probability sample

200

What is a confound?

Having multiple changes in an experiment, meaning that changes in the DV could be attributed to changes outside of the IV. A third conflicting variable. 

200

What is a median?

The mid point of the dataset

200

What is the name of the software we used in homework 5?

SPSS

200

What is a confidence interval?

The range of values where the true population is likely to be

300

What type of sample is a simple random sample?

Probability sample

300

Why do we conduct experiments?

To determine casuality

300

How do you calculate the mean?

The average of all data points

300

What is the set confidence interval level for the purposes of our class?

95%

300

What does statistical control allow researchers to do?

Ensure that only the IV is manipulated and that it is properly manipulated. 

400

What is an example of a convenience sample?

college students are the most common (will accept other answers)

400

In simple experiments there are two groups of participants, what are they called?

Treatment and control

400

When would you use the median as compared to the mean?

When the dataset has a positive or negative skew.

400

What level of Cronbach's alpha reliability is considered to be be acceptable?

Above a .7
400

What two pieces of data do you need to determine a confidence interval?

The mean and the standard deviation


500
In random sampling, does one person being selected to the treatment condition affect the next person's chances of being assigned to the treatment condition?

No

500

In experiments utilizing random assignment, does it matter if there are confounding variables? Explain your answer.

No, random assignment controls for all conflicting variables in a data set. For example, random assignment would indicate that everything is held equal amongst data sets. 

500

When is the mode the most acceptable statistic to use?

When looking at ordinal or nominal datasets. 
500

Calculate the standard deviation from the following information. Mean=17, SD=?, Variance=4, Mode=16, Median=16.7

SD= 2

500
What is external validity concerned with?

The generalizability of the findings to other populations

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