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Chapter 2

# Chapter 2 Readings

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School
Department
Psychology
Course
PSYC 1010
Professor
Anne Bergen
Semester
Fall

Description
PSYCH 1010 – Chpt. 2 Readings Frequency Distributions Raw Score: a data point that has not yet been transformed or analyzed Frequency Distribution: describes the pattern of a set of numbers by displaying a count or proportion for each possible value of a variable Frequency Table: a visual depiction of data that shows how often each value occurred. Values are listed on one side and the number of individual scores on the other. - First thing to do when confronted with a data set is to order the list of numbers so that you can organize them & understand their overall pattern - Steps for creating a frequency table: o 1. Determine the highest score and the lowest score. o 2. Create two columns: first labelled with the variable & the second labelled frequency o 3. List the full range of values including those values in between that have a frequency of 0 o 4. Count the number of scores at each value and write that value as the frequency  This data is often translated into percentages for further representation of the data Grouped Frequency Table: a visual depiction of data that reports the frequencies within a given interval rather than the frequencies for a specific value - If data has many decimal places or covers a huge range of values it is appropriate to use a grouped frequency table - The use of intervals in this case refers to the range of values as opposed to interval variables (variables with equal distance between values) - Steps for creating a grouped frequency table: o 1. Find the highest and lowest scores in the frequency distribution o 2. Determine the full range of data o 3. Determine the number of intervals and the best interval size  Between 5 & 10 intervals is recommended o 4. Figure out the number that will be the bottom of the lowest interval  A multiple of the interval size o 5. Finish the table by listing the intervals from highest to lowest and then counting the numbers of scores in each Histograms Histogram: looks like a bar graph but it typically used to depict scale data with the values of the variable on the x-axis and the frequencies on the y-axis. Bars are touching vs. not
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