Bar Chart and Histogram Quiz

IntegralHydra avatar
IntegralHydra
·
·
Download

Start Quiz

Study Flashcards

18 Questions

Bar chart is used to represent data of ______ variable on vertical or horizontal bars.

discrete

Histogram is used to represent ______ variables with class boundaries on the horizontal axis and frequencies on the vertical axis.

continuous

A histogram with one peak is called a ______ histogram.

unimodal

A symmetric histogram is characterized by being divided into two identical sections with respect to a column in the ______ of its base.

middle

The polygon connects the points (xi, ) where xi are midpoints and ______ are the frequency of class boundaries.

frequency

The mode is the value in a dataset that has the ______ frequency.

highest

A ______ is a subset of the population.

sample

Inferential statistics are methods used for drawing conclusions about the entire ______.

population

Variables are a function on the population or a ______ that varies from one individual to another.

sample

The frequency distribution table is a table used with ______ quantitative data only.

continuous

A ______ is a set of all things that have one common characteristic to study a specific problem.

population

Percentiles: divide the ordered values into 100 equal parts. Deciles: divide the ordered values into 10 equal parts. Quartiles: divide the ordered data into 4 equal parts. Box plot: Graphical representation of its five numbers. Pearson coefficient of skewness: It is a measure of the asymmetry of the distribution of data. ________: Any an arrangement of r distinct objects from a set of n different objects called permutations.

Permutations

The ______ is a simple way to represent the proportion on a circular disk.

pie chart

________: Any an unordered group of r distinct objects from a set of n different objects. Regular experiment: which we know the results of it in advance. Random experiment: which we don't know its exact outcome in advance, but we can determine the set of all its possible results only. Probability science: is a branch of math that deals with theoretical math models of random experiments.

Combinations

The probability space is a triple have the form {Ω, , P}. Space of elementary events: (Ω) the set of all possible results of this random experiment. Discrete space: if (Ω) is finite or countable infinite. Continuous space: if (Ω) is uncountable numbers. Simple event: if (A) contains only one elementary event. ________: if (A) contains at least two elementary events.

Compound event

Impossible event: (ф) (A ∩ Ᾱ ) event can’t occur is an impossible event. Mutually exclusive events: We can say A and B are mutually if: A and B cannot occur at the same time, or A and B have no elementary common. Probability: is a numerical measure of the likelihood that a specific event will occur. ________: is a measure of the asymmetry of the distribution of data.

Pearson

________: divide the ordered data into 4 equal parts. Box plot: Graphical representation of its five numbers. Pearson coefficient of skewness: It is a measure of the asymmetry of the distribution of data. Permutations: Any an arrangement of r distinct objects from a set of n different objects called permutations. Combinations: Any an unordered group of r distinct objects from a set of n different objects.

Quartiles

Regular experiment: which we know the results of it in advance. Random experiment: which we don't know its exact outcome in advance, but we can determine the set of all its possible results only. Probability science: is a branch of math that deals with theoretical math models of random experiments. The probability space is a triple have the form {Ω, , P}. ________: the set of all possible results of this random experiment.

Space of elementary events

Study Notes

Data Visualization

  • A bar chart represents data of discrete variables on vertical or horizontal bars.
  • Types of bar charts:
  • Two-direction bar chart: represents both positive and negative values of different classes.
  • Multiple bar chart: represents multiple variables by bars side by side.
  • Component or stacked bar chart: represents each component by a section in the bar.

Histogram

  • A histogram represents continuous variables, with class boundaries marked on the horizontal axis and frequencies marked on the vertical axis.
  • Types of histograms:
  • Symmetric histogram: divided into two identical sections with respect to a column on the middle of its base.
  • Skewed histogram: non-symmetric, with types including right-skewed and left-skewed.

Polygon

  • A polygon connects points with straight lines, representing continuous variables.
  • Types of polygons:
  • ACFP ( Accumulative Cumulative Frequency Polygon): connects points with upper bound and ACF.
  • DCFP (Defective Cumulative Frequency Polygon): connects points with lower bound and DCF.

Measures of Central Tendency

  • Median: the value that divides the data into two halves after ordering.
  • Mode: the value with the highest frequency.

Statistics

  • Data: information collected by experiments or observations.
  • Statistics: a branch of science that deals with the collection and analysis of data.
  • Types of statistics:
  • Descriptive statistics: methods used for presenting data in tables or graphs.
  • Inferential statistics: methods used for drawing conclusions about the entire population.

Population and Sample

  • Population: a set of all things having one common characteristic to study a specific problem.
  • Sample: a subset of the population.
  • Parameter: a certain quantity or quality for describing a characteristic for the entire population.
  • Statistic: a certain quantity or quality for describing a characteristic for the entire sample.

Variables

  • Variable: a function on the population or a sample that varies from one individual to another.
  • Types of variables:
  • Qualitative variables: take non-numeric values or numeric values that indicate an attribute.
  • Quantitative variables: take numerical values that can be used for mathematical operations.
  • Discrete variables: take finite or infinite countable numbers.
  • Continuous variables: take uncountable numbers.

Data Summary

  • Raw data: a set of data without organization.
  • Frequency distribution table: a table used for continuous quantitative data only.
  • Pie chart: a simple way to represent proportions on a circular disk.
  • Percentiles: divide the ordered values into 100 equal parts.
  • Deciles: divide the ordered values into 10 equal parts.
  • Quartiles: divide the ordered data into 4 equal parts.
  • Box plot: a graphical representation of five numbers.

Probability

  • Probability science: a branch of math that deals with theoretical math models of random experiments.
  • Probability space: a triple {Ω, , P} with space of elementary events Ω.
  • Types of probability spaces:
  • Discrete space: if Ω is finite or countable infinite.
  • Continuous space: if Ω is uncountable numbers.
  • Simple event: an event containing only one elementary event.
  • Compound event: an event containing at least two elementary events.
  • Impossible event: an event that cannot occur.
  • Mutually exclusive events: events that cannot occur at the same time.
  • Probability: a numerical measure of the likelihood that a specific event will occur.

Test your knowledge on bar charts and histograms, including two-direction bar charts, multiple bar charts, component or stacked bar charts, and histograms representing continuous variables. Learn about representing data of discrete and continuous variables using vertical or horizontal bars.

Make Your Own Quizzes and Flashcards

Convert your notes into interactive study material.

Get started for free

More Quizzes Like This

Bar Chart Quiz
3 questions

Bar Chart Quiz

EagerRhodochrosite avatar
EagerRhodochrosite
Mastering Bar Charts
5 questions
Measurement Levels in Data Analysis
7 questions
Use Quizgecko on...
Browser
Browser