|
|
|
Archdiocese of Indianapolis |
|
Archdiocese Mathematics Summer 2002 |
|
Mathematics - AP: Statistics |
|
|
Variable: Dependent/Independent
The learner will be able to
understand the concept of dependent and independent variables.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Variable |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.B.1 |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with discrete random variables and their probability distributions, including the binomial distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A.3 |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with mean (expected value) and standard deviation of a random variable, and linear transformation of a random variable.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A.5 |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with relative frequency definition of probability.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with simulation of probability distributions, including binomial and geometric.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A.4 |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with mean and standard deviation for sums and differences of independent random variables.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.B.2 |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with the law of large numbers.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A.1 |
Classroom
|
|
Probability: Create/Models
The learner will be able to
create models using probability and simulation.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III |
Classroom
|
|
Probability: Comprehend/Apply
The learner will be able to
comprehend and apply probability with the addition rule, multiplication rule, conditional probability, and independence.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, III.A.2 |
Classroom
|
|
Data: Comparison/Univariate
The learner will be able to
analyze center and spread (within group and between group variation) in order to compare distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.C.1 |
Classroom
|
|
Data: Comparison/Univariate
The learner will be able to
analyze shapes in order to compare distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.C.4 |
Classroom
|
|
Data: Univariate/Spread
The learner will be able to
measure spread (range, interquartile range, and standard deviation) in order to summarize distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.B.2 |
Classroom
|
|
Data: Univariate/Position
The learner will be able to
measure position (quartiles, percentiles, and standardized scores) in order to summarize distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.B.3 |
Classroom
|
|
Data: Univariate/Boxplots
The learner will be able to
use boxplots in order to summarize distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.B.4 |
Classroom
|
|
Data: Univariate/Summary Measures
The learner will be able to
study the effect of changing units on summary measures in order to summarize distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.B.5 |
Classroom
|
|
Data: Comparison/Univariate
The learner will be able to
analyze outliers and other unusual features in order to compare distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.C.3 |
Classroom
|
|
Data: Univariate/Center
The learner will be able to
measure center (median, mean) in order to summarize distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.B.1 |
Classroom
|
|
Data: Comparison/Univariate
The learner will be able to
analyze clusters and gaps in order to compare distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.C.2 |
Classroom
|
|
Statistics: Inference/Regression/Slope
The learner will be able to
understand inferences about the slope of the least-squares regression line.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, IV.C.4 |
Classroom
|
|
Experiments: Understand
The learner will be able to
understand the sources of bias and confounding in an experiment, including placebo effect and blinding.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, II.C.3 |
Classroom
|
|
Data Analysis: Interpret/Distributions
The learner will be able to
interpret graphical representations of distributions of univariate data (dotplots, stemplots, histograms).
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Analysis |
|
Master |
|
Advanced Placement Tests (AP), 2000, Statistics, I.A |
Classroom
|
|
Data: Observe/Patterns
The learner will be able to
observe patterns in data and deviations from patterns.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Knowledge |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics.; I |
Classroom
|
|
Data: Summarize/Univariate
The learner will be able to
summarize the distributions of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.B |
Classroom
|
|
Data: Compare/Univariate
The learner will be able to
compare univariate data distributions in the form of dotplots, back-to-back stemplots, and parallel box plots.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.C |
Classroom
|
|
Data: Explore/Bivariate
The learner will be able to
explore bivariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D |
Classroom
|
|
Data: Study Bivariate
The learner will be able to
study bivariate data using scatterplots.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D.1 |
Classroom
|
|
Data: Study Bivariate
The learner will be able to
study bivariate data using correlation and linearity.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D.2 |
Classroom
|
|
Data: Study Bivariate
The learner will be able to
study bivariate data using least squares regression line.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D.3 |
Classroom
|
|
Data: Study Bivariate
The learner will be able to
study bivariate data using residual plots, outliers, and influential points.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D.4 |
Classroom
|
|
Data: Study Bivariate
The learner will be able to
study bivariate data using transformations to achieve linearity (logarithmic and power transformations).
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.D.5 |
Classroom
|
|
Sampling: Understand/Population
The learner will be able to
understand the concept of a population.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
0.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.2 |
Classroom
|
|
Sampling: Understand/Concept
The learner will be able to
comprehend the concept of a sample.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
0.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.2 |
Classroom
|
|
Sampling: Understand/Simple Random
The learner will be able to
understand the concept of simple random samples.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.4 |
Classroom
|
|
Sampling: Understand/Random Selection
The learner will be able to
understand the concept of random sample.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
0.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.2 |
Classroom
|
|
Sampling: Understand/Simple Stratified
The learner will be able to
understand the concept of stratified random samples.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.5 |
Classroom
|
|
Sampling Distribution: Understand
The learner will be able to
comprehend sampling distributions.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D |
Classroom
|
|
Sampling: Understand/Proportion
The learner will be able to
understand the sampling distribution of a sample proportion.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.1 |
Classroom
|
|
Sampling: Understand/Mean
The learner will be able to
understand the sampling distribution of a sample mean.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.2 |
Classroom
|
|
Sampling: Understand/Proportion
The learner will be able to
understand the sampling distribution of the difference between two independent sample proportions.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.4 |
Classroom
|
|
Sampling: Understand/Mean
The learner will be able to
understand the sampling distribution of the difference between two independent sample means.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.5 |
Classroom
|
|
Sampling: Understand/Simulation
The learner will be able to
understand how to simulate a sampling distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Sampling |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.6 |
Classroom
|
|
Statistics: Type I/Type II/Power
The learner will be able to
understand the concepts of Type I and Type II errors, and the power of a test.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.1 |
Classroom
|
|
Statistics: Test Significance
The learner will be able to
perform and interpret tests for significance applying suitable statistics.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B |
Classroom
|
|
Statistics: Test Significance
The learner will be able to
comprehend and perform tests of significance including logic of significance testing, null and alternative hypotheses; p-values, one- and two-sided tests.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.1 |
Classroom
|
|
Statistics: Test Significance
The learner will be able to
comprehend and perform tests of significance including tests for goodness of fit, homogeneity of proportions, and independence (using chi-square).
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.6 |
Classroom
|
|
Statistics: Large Sample Test/Proportion
The learner will be able to
understand and perform large sample tests for a proportion.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.2 |
Classroom
|
|
Statistics: Large Sample Test/Mean
The learner will be able to
understand and perform large sample tests for a mean.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.3 |
Classroom
|
|
Statistics: Large Sample Test/Proportion
The learner will be able to
understand and perform large sample tests for the difference between two proportions.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.4 |
Classroom
|
|
Statistics: Large Sample Test/Mean
The learner will be able to
understand and perform large sample tests for the difference between two means.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Analysis |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV.B.5 |
Classroom
|
|
Statistics: Validate/Model
The learner will be able to
establish the validity of a model.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Statistics |
Evaluation |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV |
Classroom
|
|
Experiments: Understand/Characteristics
The learner will be able to
understand the characteristics of a well-designed and well-conducted experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.1 |
Classroom
|
|
Experiments: Understand/Treatment
The learner will be able to
understand the treatments within an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.2 |
Classroom
|
|
Experiments: Understand/Design
The learner will be able to
understand a completely randomized design.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.4 |
Classroom
|
|
Experiments: Understand/Designs
The learner will be able to
understand a randomized block design, including matched pairs design.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.5 |
Classroom
|
|
Experiments: Generalizing Results
The learner will be able to
understand how to generalize the results from observational studies, experimental studies, and surveys.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.D |
Classroom
|
|
Experiments: Understand/Control Group
The learner will be able to
understand the control groups within an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.2 |
Classroom
|
|
Experiments: Understand/Units
The learner will be able to
understand the experimental units within an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.2 |
Classroom
|
|
Experiments: Understand/Random
The learner will be able to
understand the random assignments within an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.2 |
Classroom
|
|
Experiments: Understand/Replication
The learner will be able to
understand replication within an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C.2 |
Classroom
|
|
Experiments: Statistical/Conduct
The learner will be able to
carry out statistical experiments.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Application |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.C |
Classroom
|
|
Experiments: Design
The learner will be able to
create an experiment.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Experiments |
Synthesis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.C |
Classroom
|
|
Data Analysis: Investigate/Categorical
The learner will be able to
investigate categorical data presented in frequency tables.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Analysis |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.E |
Classroom
|
|
Data Analysis: Investigate/Categorical
The learner will be able to
investigate marginal and joint distributions for categorical data presented in two-way tables.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Analysis |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.E.1 |
Classroom
|
|
Data Analysis: Investigate/Categorical
The learner will be able to
investigate the conditional relative frequencies and associations in categorical data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Analysis |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.E.2 |
Classroom
|
|
Distribution: Properties
The learner will be able to
have knowledge of the properties of normal distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.C.1 |
Classroom
|
|
Probability Distribution: Normal Curve
The learner will be able to
understand a normal curve distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.C |
Classroom
|
|
Probability Distributions: Normal/Tables
The learner will be able to
understand a table of probabilities of the normal distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.C.2 |
Classroom
|
|
Probability Distributions: Normal Data
The learner will be able to
understand special cases of normally distributed data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.C |
Classroom
|
|
Probability Distributions: Student's t
The learner will be able to
understand Student's t-distribution.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.C.1 |
Classroom
|
|
Probability Distributions: Student's t
The learner will be able to
understand single sample Student t techniques.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, IV.C.2 |
Classroom
|
|
Probability Distributions: Student's t
The learner will be able to
understand two sample (independent and matched pairs) Student t techniques.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.C.3 |
Classroom
|
|
Probability Distributions: Normal/Model
The learner will be able to
understand the normal distribution as a measurement model.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.C.3 |
Classroom
|
|
Central Limit Theorem: Understand
The learner will be able to
illustrate an understanding of the Central Limit Theorem.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Probability Distribution |
Application |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.D.3 |
Classroom
|
|
Survey: Summarize/Collection Strategies
The learner will be able to
summarize data collection strategies for sample surveys.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Survey |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.A.2 |
Classroom
|
|
Survey: Understand/Characteristics
The learner will be able to
understand the characteristics of a well-designed and well-conducted survey.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Survey |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.1 |
Classroom
|
|
Survey: Understand/Sources of Bias
The learner will be able to
understand sources of bias in a survey.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Survey |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.B.3 |
Classroom
|
|
Survey: Conduct
The learner will be able to
conduct a survey.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Survey |
Application |
Master |
2.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.B |
Classroom
|
|
Survey: Design
The learner will be able to
design a survey.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Survey |
Synthesis |
Master |
1.5 |
Advanced Placement Tests (AP), 2000, Statistics, II.B |
Classroom
|
|
Data Collection: Summarize/Strategies
The learner will be able to
summarize data collection strategies.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Collection |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.A |
Classroom
|
|
Data Collection: Census/Strategies
The learner will be able to
summarize census data collection strategies.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Collection |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.A.1 |
Classroom
|
|
Data Collection: Experiments/Strategies
The learner will be able to
summarize data collection strategies for experiments.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Collection |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.A.3 |
Classroom
|
|
Data Collection: Studies/Strategies
The learner will be able to
summarize data collection strategies for observational studies.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Collection |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II.A.4 |
Classroom
|
|
Data Collection: Decisions
The learner will be able to
decide what to measure and how to go about measuring it.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Collection |
Application |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, II |
Classroom
|
|
Intervals: Understand/Proportion
The learner will be able to
understand a large sample confidence interval for a proportion.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Intervals |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.A.2 |
Classroom
|
|
Intervals: Understand/Mean
The learner will be able to
understand a large sample confidence interval for a mean.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Intervals |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.A.3 |
Classroom
|
|
Intervals: Understand/Proportion
The learner will be able to
understand a large sample confidence interval for the difference between two proportions.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Intervals |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.A.4 |
Classroom
|
|
Intervals: Understand/Mean
The learner will be able to
understand a large sample confidence interval for the difference between two means (paired and unpaired).
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Intervals |
Comprehension |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.A.5 |
Classroom
|
|
Confidence Intervals: Comprehension
The learner will be able to
illustrate a comprehension of confidence intervals.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Intervals |
Application |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, IV.A, IV.A.1 |
Classroom
|
|
Random Variables: Combine/Independent
The learner will be able to
combine independent random variables.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Randomness |
Application |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, III.B |
Classroom
|
|
Data Display: Interpret/Cumulative
The learner will be able to
interpret univariate data presented in a cumulative frequency plot.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Display |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.A |
Classroom
|
|
Data Display: Interpret/Center/Spread
The learner will be able to
interpret the center and spread of graphical displays of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Display |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.A.1 |
Classroom
|
|
Data Display: Interpret/Clusters/Gaps
The learner will be able to
interpret the clusters and gaps of graphical displays of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Display |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.A.2 |
Classroom
|
|
Data Display: Interpret/Outliers
The learner will be able to
interpret outliers and other unusual features of graphical displays of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Display |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.A.3 |
Classroom
|
|
Data Display: Interpret/Shape
The learner will be able to
interpret the shape of graphical displays of univariate data.
| Strand |
Bloom's |
Scope |
Hours |
Source |
Activities |
| Data Display |
Analysis |
Master |
1.0 |
Advanced Placement Tests (AP), 2000, Statistics, I.A.4 |
Classroom
|
|
|