Statistics for Psychology

In psychology, it is important to test data in order to arrive at the best options for analyzing data. Psychologists use five main types of hypothesis testing which include; Histograms, Box plots, Dot plots, Bar charts and Scatter plots. The use of a histogram involves the measuring of the data given by looking at the shape of the line it takes in a histogram graph. The shape can take either the left or the right side. A histogram is important as it assists in the description of the data in general terms. Box plots are useful as they enable one to simply look at the data presented and identify the characteristics that would assist in analyzing the available data. The use of box plots assist in identifying mistakes made in the process of analyzing data.

The use of dot plots represents a simple way of data visualization. This form of hypothesis testing is often used when comparing the data of the two groups. A bar chart is used when recording categorical data. It represents all the subjects; percentages, counts and frequencies all in one graph.

Scatter plots are used when visualizing the measurement between two variables. They explain the relationship between variables. The data collected is calculated in terms of mean, standard deviation and z scores. Mean refers to the average score of the values. Psychologists use five main types of hypothesis testing which include; Histograms, Box plots, Dot plots, Bar charts and Scatter plots. In psychology, it is important to test data in order to arrive at the best options for analyzing data. These measurements are important as any person is able to describe the data in order to justify the hypothesis.

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