Exam 4: Frequency Distributions
Exam 1: Why Study Statistics12 Questions
Exam 2: Use of Statistics in Evidence-Based Practice21 Questions
Exam 3: Review of Key Research Methodology Concepts and Terms22 Questions
Exam 4: Frequency Distributions21 Questions
Exam 5: Graphs and Charts15 Questions
Exam 6: Measures of Central Tendency19 Questions
Exam 7: Measures of Dispersion20 Questions
Exam 8: Types of Distributions18 Questions
Exam 9: Z-Scores, Percentiles and Effect Size15 Questions
Exam 10: Probability and Sampling Distributions24 Questions
Exam 11: Hypothesis Testing and Statistical Significance20 Questions
Exam 12: Type I and Type Ii Errors23 Questions
Exam 13: Interpreting the Strength and Importance of Relationships27 Questions
Exam 14: The T-Test25 Questions
Exam 15: Analysis of Variance19 Questions
Exam 16: Cross Tabulation and Chi-Square22 Questions
Exam 17: Correlation23 Questions
Exam 18: Regression Analysis26 Questions
Exam 19: Applications to Single-System Evaluation Designs20 Questions
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To construct a frequency distribution for a variable at the ordinal level of measurement, we arrange the rows for the quantitative values of the variable in ascending order.
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Grouped frequency distributions combine some or all of the categories of a variable into a smaller number of categories.
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At the end of one year, the board of a small mental health agency in an urban area urges its staff to modify its services and improve its outreach efforts so as to increase the number of ethnic minorities who utilize its services.At the end of the next year, the agency's executive director informs the board in her annual report that the agency's proportion of ethnic minority clientele increased by 50 percent -- from 2 out of 50 (4%) to 3 out of 50 (6%).The board members should:
(Multiple Choice)
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Which of the following statements is true about combining categories in a grouped frequency distribution?
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Frequency distributions transform a mass of unmanageable details of data into manageable summaries.
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The sums of absolute or relative frequencies are called cumulative frequencies.
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To calculate the proportion of cases for a category of a variable, we simply divide the number of cases in that category by the total number of cases that have provided data for that variable.
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Suppose you want to display data from a large survey for a variable with many different scores that range from zero to 100.Which of the following would best facilitate and simplify the interpretation of the data?
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Increases or decreases in percentages are never misleading, regardless of whether they are based on a relatively small or large number of cases.
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Displays of the proportions or percentages of cases per category are called:
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The best way to facilitate and simplify the interpretation of data collected in a large survey is to:
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Describing the number of cases in each category of each variable in narrative form prevents readers from getting overwhelmed by tables of statistics.
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Displays that show how the absolute and relative frequencies of cases per category add up as we go from one category to the next are called:
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To construct an absolute frequency distribution, you'll need columns that show proportions and percentages for each category of the variable.
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To simplify a frequency distribution for a variable that contains a large number of categories, it is often helpful to create:
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When constructing grouped frequency distributions, always create categories with the same number of cases per category.
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