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Questions and Answers
What is a frequency distribution?
What is a frequency distribution?
What are class intervals?
What are class intervals?
Ungrouped (single score value) and grouped (two or more score values)
What distinguishes an ungrouped frequency distribution for quantitative variables?
What distinguishes an ungrouped frequency distribution for quantitative variables?
What are real limits?
What are real limits?
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What is the formula for class interval size (i)?
What is the formula for class interval size (i)?
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What should quantitative class intervals ideally have?
What should quantitative class intervals ideally have?
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How do you determine the number and size of class intervals?
How do you determine the number and size of class intervals?
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The range is calculated by subtracting the real lower limit of the smallest score from the real upper limit of the largest score: real upper limit - _____
The range is calculated by subtracting the real lower limit of the smallest score from the real upper limit of the largest score: real upper limit - _____
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What is the purpose of relative frequency distributions?
What is the purpose of relative frequency distributions?
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What type of graph is used for qualitative data?
What type of graph is used for qualitative data?
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What is a histogram?
What is a histogram?
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What does a bell-shaped distribution represent?
What does a bell-shaped distribution represent?
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What defines a bimodal distribution?
What defines a bimodal distribution?
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What does the term 'dispersion' refer to?
What does the term 'dispersion' refer to?
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What type of distribution is characterized by each class interval having the same frequency?
What type of distribution is characterized by each class interval having the same frequency?
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What is the purpose of a stem and leaf display?
What is the purpose of a stem and leaf display?
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What is a pictogram?
What is a pictogram?
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Study Notes
Frequency Distributions
- A frequency distribution is a table that displays classes and their corresponding frequencies to summarize data.
- It defines equivalence classes and counts observations to provide insights into data distribution.
Class Intervals
- Class intervals can be ungrouped (individual score) or grouped (covering multiple scores).
Ungrouped Frequency Distribution
- For quantitative variables, entries are organized with the largest number first.
- Count tallies for how often each number appears and list every distinct category.
Grouped Frequency Distribution
- Utilizes class intervals with nominal lower and upper limits (e.g., 64.5 and 66.5).
Real vs. Nominal Limits
- Real limits extend 0.5 units below or above nominal limits to avoid gaps in intervals.
- Nominal limits represent the actual score values (e.g., 65 and 66).
Class Interval Size
- Determined by subtracting the real lower limit from the real upper limit.
- Example for class interval (21-23): size = 3, representing scores 21, 22, and 23.
Ungrouped Frequency Distribution Components
- Comprises class intervals and their respective interval sizes.
Conventions in Frequency Distributions
- Must be mutually exclusive and quantitative, with uniform class widths (often 10-20 intervals).
- Preferred sizes for class intervals include: 1, 2, 3, 5, 10, etc.
- The largest score is presented at the top.
Class Interval Calculation
- Determining the number and size of class intervals may require trial and error based on the preferred class interval size (1-20).
Range of Data
- The range is calculated using the real upper limit of the largest score minus the real lower limit of the smallest score.
Relative Frequency Distributions
- Displays each frequency as a proportion or percentage of total scores.
- Proportionate frequency formula: prop f = f/n, where f is frequency and n is the total number of scores.
- Percentage frequency formula: % f = (f/n) x 100.
Cumulative Frequency Distributions
- Indicates the number, proportion, or percentage of scores below the real upper limit of each class interval.
- The resultant frequency includes scores less than or equal to the identified limit.
Cumulative Frequency (cum f)
- Obtained by adding the class frequency to the cumulative frequency of the previous class.
- The final value should equal the total number of scores.
Cumulative Relative Frequency Metrics
- Cumulative proportion frequency (cum prop f) is calculated as (cum f)/n.
- Cumulative percentage frequency (cum %f) is calculated as (cum f)/n x 100.
Frequency Distributions for Qualitative Variables
- No decisions on size and number of class intervals are needed; equivalence classes serve as class intervals.
Graphical Representation
- Qualitative data visualized using bar and pie graphs.
- Quantitative data displayed through histograms, frequency polygons, cumulative polygons, and stem-and-leaf displays.
Bar Graphs
- Represent qualitative data post frequency distribution.
- Bars should not touch and have a height of 66%-75% of their width.
Pie Charts
- Display qualitative data as sectors representing proportions or percentages.
- Size of sectors reflects their frequency contribution.
Histograms
- Constructed using vertical bars over real limits of class intervals, which must touch.
- Maintain height proportionality similar to bar graphs.
Frequency Polygons
- Initiate like histograms, ideal for displaying multiple distributions.
- Dots represent midpoints of class intervals, connected to form a continuous line.
Cumulative Polygons
- Indicate scores below the real upper limit of class intervals, using dots over the upper limits.
Stem and Leaf Display
- A "sideways histogram" that organizes raw data while preserving all original values.
Bell Shaped Distribution
- Refers to a normal distribution, characterized by symmetry and specific kurtotic forms: mesokurtic, platykurtic, and leptokurtic.
Kurtois Types
- Mesokurtic: Intermediate shape.
- Platykurtic: Flat and broad.
- Leptokurtic: Slender or narrow shape.
Central Tendency
- Represented by a point that signifies where the distribution centers around.
Dispersion
- Refers to the extent to which scores are spread around the central point.
Skewed Distributions
- Can be symmetrical, negatively skewed, or positively skewed, reflecting distribution asymmetries.
Bimodal and Multimodal Distributions
- Bimodal: Two peaks of equal maximum frequency, indicating two distinct samples.
- Multimodal: Three or more peaks.
J and U Distributions
- J Distribution: Represents scoring trends that increase sharply.
- U Distribution: Illustrates performance on difficult tasks based on motivation levels.
Rectangular or Uniform Distribution
- All class intervals exhibit identical frequencies, often used for analyzing test scores in percentiles.
Pictograms
- Visual representations using images to denote quantities, though often misleading if not accurately scaled.
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Description
Explore key concepts in Chapter 2 of Statistics with these flashcards. Learn about frequency distributions, class intervals, and ungrouped frequency distributions for quantitative variables. Perfect for quick reviews and reinforcing your understanding of data summarization.