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School City of Hobart |
School City of Hobart Mathematics |
Mathematics - IN: Probability and Statistics |
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Data Collection
The learner will be able to
collect data.
Strand |
Bloom's |
Scope |
Source |
Activities |
Data Collection and Classification |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 1 |
Classroom
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Central Tendency: Calculate/Apply
The learner will be able to
calculate and apply the mean, median, mode, weighted mean, geometric mean, harmonic mean, range, quartiles, variance, and standard deviation.
Strand |
Bloom's |
Scope |
Source |
Activities |
Measures of Central Tendency |
|
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.1.2 |
Classroom
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Mutually Exclusive: Find Probability
The learner will be able to
comprehend and apply the addition rule to compute probabilities for mutually exclusive and non-mutually exclusive events.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
|
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.2 |
Classroom
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Distribution: Calculate/Interpret
The learner will be able to
calculate and interpret the mean and variance of a probability distribution.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
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Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.7 |
Classroom
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Problem Solving: Probability
The learner will be able to
apply counting methods, permutations, and combinations to obtain solutions to probability problems.
Strand |
Bloom's |
Scope |
Source |
Activities |
Problem Solving |
|
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.1 |
Classroom
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Probability Concepts: Comprehend
The learner will be able to
comprehend hypothesis tests of means and differences between means and apply them in forming conclusions.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Concepts |
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Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.3.2 |
Classroom
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Data Display: Make/Compare/Evaluate
The learner will be able to
make, compare, and evaluate various graphical representations of the same data using histograms, frequency polygons, cumulative distribution functions, pie charts, scatterplots, stem-and-leaf pots, and box-and-whisker plots, creating these by hand or using a computer spreadsheet.
Strand |
Bloom's |
Scope |
Source |
Activities |
Data Display |
|
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.1.1 |
Classroom
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Probability: Comprehend/Conditional
The learner will be able to
comprehend the ideas of conditional probabilities.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.5 |
Classroom
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Data: Fit/Straight Lines
The learner will be able to
fit a straight line to given data.
Strand |
Bloom's |
Scope |
Source |
Activities |
Data |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 3 |
Classroom
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Measures of Central Tendency: Apply
The learner will be able to
apply the measures of central tendency.
Strand |
Bloom's |
Scope |
Source |
Activities |
Measures of Central Tendency |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 1 |
Classroom
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Dependent/Independent: Multiplication
The learner will be able to
comprehend how to calculate the probability of dependent and independent events using the multiplication principle.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.3 |
Classroom
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Bayes' Theorem: Understand
The learner will be able to
understand Bayes' Theorem.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.5 |
Classroom
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Dependent/Independent: Multiplication
The learner will be able to
calculate the probability of dependent and independent events using the multiplication principle.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.3 |
Classroom
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Complementary Events: Probability
The learner will be able to
calculate the probability of complementary events.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.4 |
Classroom
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Bayes' Theorem: Problem Solving
The learner will be able to
apply Bayes' theorem to problems solving situations.
Strand |
Bloom's |
Scope |
Source |
Activities |
Independent/Dependent/Mutually Exclusive |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.5 |
Classroom
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Counting Methods: Understand Procedures
The learner will be able to
comprehend counting procedures.
Strand |
Bloom's |
Scope |
Source |
Activities |
Counting Methods |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.1 |
Classroom
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Permutations: Understand/Counting Method
The learner will be able to
develop an understanding of permutations as a method of counting.
Strand |
Bloom's |
Scope |
Source |
Activities |
Permutations |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.1 |
Classroom
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Combinations: Understand
The learner will be able to
understand combinations.
Strand |
Bloom's |
Scope |
Source |
Activities |
Combinations |
Comprehension |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.1 |
Classroom
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Probability Distributions: Solving
The learner will be able to
obtain problem solutions through the use of probability distributions.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 2, PS.2.10 |
Classroom
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Probability Distribution: Applying
The learner will be able to
use a variety of probability distributions, such as binomial, geometric, multinomial etc.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.6 |
Classroom
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Distribution: Apply/Normal
The learner will be able to
apply the normal distribution.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.8 |
Classroom
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Distribution: Curve of Best Fit/Squares
The learner will be able to
determine the curve of best fit for collected data by applying the principle of least squares.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.3.3 |
Classroom
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Central Limit Theorem
The learner will be able to
apply the central limit theorem in solving problems.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.9 |
Classroom
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Central Limit Theorem: Understand
The learner will be able to
illustrate an understanding of the Central Limit Theorem.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Distribution |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.9 |
Classroom
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Confidence Intervals: Calculate
The learner will be able to
calculate confidence intervals to formulate estimates.
Strand |
Bloom's |
Scope |
Source |
Activities |
Intervals |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.3.1 |
Classroom
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Confidence Intervals: Apply
The learner will be able to
apply confidence intervals to formulate estimates.
Strand |
Bloom's |
Scope |
Source |
Activities |
Intervals |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.3.1 |
Classroom
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Intervals: Apply/Confidence
The learner will be able to
apply confidence intervals and hypothesis tests.
Strand |
Bloom's |
Scope |
Source |
Activities |
Intervals |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 3 |
Classroom
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Variate: Continuous/Problem Solving
The learner will be able to
solve problems using continuous random variables.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Functions |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.10 |
Classroom
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Variate: Discrete/Apply
The learner will be able to
apply discrete random variables in probability situations.
Strand |
Bloom's |
Scope |
Source |
Activities |
Probability Functions |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.6 |
Classroom
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Variability: Apply
The learner will be able to
apply measures of variability.
Strand |
Bloom's |
Scope |
Source |
Activities |
Correlation/Deviation/Variance |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 1 |
Classroom
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Correlation: Coefficient/Compute
The learner will be able to
compute the correlation coefficient for collected data.
Strand |
Bloom's |
Scope |
Source |
Activities |
Correlation/Deviation/Variance |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 3, PS.3.4 |
Classroom
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Correlation: Coefficient/Interpret
The learner will be able to
interpret the correlation coefficient for collected data.
Strand |
Bloom's |
Scope |
Source |
Activities |
Correlation/Deviation/Variance |
Analysis |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.3.4 |
Classroom
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Problem Solving: Probability
The learner will be able to
apply probability to obtain solutions to problems.
Strand |
Bloom's |
Scope |
Source |
Activities |
Problem Solving |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 2 |
Classroom
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Problem Solving: Conditional Probability
The learner will be able to
use conditional probability to problem solve.
Strand |
Bloom's |
Scope |
Source |
Activities |
Problem Solving |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, PS.2.5 |
Classroom
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Data Display
The learner will be able to
display data.
Strand |
Bloom's |
Scope |
Source |
Activities |
Data Display |
Application |
Master |
IN: Academic Standards, 2000, Probability and Statistics, Standard 1 |
Classroom
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