Statistics Chapter 2 Flashcards
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Questions and Answers

What is a frequency distribution?

  • A list of qualitative variables
  • A method to visualize data
  • A table that shows classes and a frequency (correct)
  • A type of bar chart
  • What are class intervals?

    Ungrouped (single score value) and grouped (two or more score values)

    What distinguishes an ungrouped frequency distribution for quantitative variables?

  • Lists categories from largest to smallest (correct)
  • Includes only qualitative data
  • Uses intervals for grouping
  • Tally all numbers for frequency (correct)
  • What are real limits?

    <p>Extend 0.5 below or above the nominal limit.</p> Signup and view all the answers

    What is the formula for class interval size (i)?

    <p>Real upper limit - real lower limit</p> Signup and view all the answers

    What should quantitative class intervals ideally have?

    <p>Mutually exclusive categories</p> Signup and view all the answers

    How do you determine the number and size of class intervals?

    <p>Trial and error based on range/preferred size.</p> Signup and view all the answers

    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 - _____

    <p>real lower limit</p> Signup and view all the answers

    What is the purpose of relative frequency distributions?

    <p>Express each frequency as a proportion or percentage of the total number of scores.</p> Signup and view all the answers

    What type of graph is used for qualitative data?

    <p>Bar graph and pie chart</p> Signup and view all the answers

    What is a histogram?

    <p>Constructed vertical bars over the real limits of each class interval.</p> Signup and view all the answers

    What does a bell-shaped distribution represent?

    <p>Normal distribution</p> Signup and view all the answers

    What defines a bimodal distribution?

    <p>Two humps, each with the same maximum frequency.</p> Signup and view all the answers

    What does the term 'dispersion' refer to?

    <p>Extent to which scores are spread out around a central point.</p> Signup and view all the answers

    What type of distribution is characterized by each class interval having the same frequency?

    <p>Rectangular or uniform distribution</p> Signup and view all the answers

    What is the purpose of a stem and leaf display?

    <p>To show all data while specifying class intervals.</p> Signup and view all the answers

    What is a pictogram?

    <p>Represents quantity by presenting pictures of the objects being compared.</p> Signup and view all the answers

    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.

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