LS23L Lab A

t-test

determines the difference between two samples by comparing their means while taking into account their variances mean/standard error

Standard deviation

measure of variation around the mean

Unimodal distribution

one mean and standard deviation

Why is the falsificationist procedure important for a scientific experiment?

Because it increases the power of the conclusion deduced by the hypothetical-deductive approach

Falsificationist approach

Taking the hypothesis of an effect and creating a null hypothesis to correct

Bimodal distribution

a continuous probability distribution with two different modes.

Mean

arithmetic average

Hypothetico-deductive approach

-series of steps that leads to a robust conclusion about a particular problem -requires a specific hypothesis to explain a particular aspect of a phenomenon -tested STATISTICALLY to see whether the data supports the hypothesis -"self-correcting"

Which of the following p values would allow for the rejection of the null hypothesis?

<0.05

MIT compares

Number of correct responses and the average response time

After comparing response times between the audio and picture portions of the MIT test, the t-test resulted in a t-value of 2.97. Given that the sample size was 250 and the t-value at p = 0.05 is 1.96, what can I conclude from this data?

Reject the null hypothesis, the p-value is less than 0.05. Therefore, the difference is significant.

The scientific method incorporates the hypothetico-deductive approach and falsificationist procedure. In this approach:

if the experimenters reject the null hypothesis, they support the hypothesis and model

Population

the entire collection of measurements on which the researcher intends to draw conclusions

Sample

the set of measurements actually made