Topic 1: The process of scientific research Research, knowledge generation, science in psychology



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Inferential test


Descriptivos

CI

ra



Sig.<.05; We reject H0, we conclude that there is an effect of music on IQ

N

Media

Desviación típica

Error típico

Intervalo de confianza pa la media al 95%

Mínimo

Máximo

Límite inferior

Límite superior

Chillout

5

102.0000

2.0000

.8944

99.5167

104.4833

100.00

104.00

Mozart

5

106.0000

2.5495

1.1402

102.8344

109.1656

103.00

109.00

Total

10

104.0000

3.0185


.9545

101.8407

106.1593

100.00

109.00

Basic statistical concepts
  • Population: The set of all elements that share one or more characteristics.
  • We can have a finite population (e.g., psychology students in Spain) or an infinite population (e.g., the set of even numbers).
  • (Normally, we will work with samples.)
  • Sample: Subset of elements of a population.
  • Objective: To be able to describe the population.
  • To do this, the sample must be representative of its respective population.

Basic statistical concepts
  • Parameter: A descriptive property of the population. They are symbolized with Greek letters (m for the mean, s for standard deviation).
  • Statististic: A descriptive property of the sample. They are symbolized with Latin letters (X for the mean, s for standard deviation).

Basic statistical concepts

Sampling. In order to generalize the results of the sample to the population, the sample must be representative.



Representative sample: A subset of subjects belonging to a particular population. It should have the same general characteristics as the population.


Otherwise, we would have a biased sample.

Basic statistical concepts





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