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“To Optimize Teaching And Learning Utilizing Technology”

Below are the objectives for Algebra II.  Click on the link  for students or  for teachers for any objective to see the resources available or to add your own resource.

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Standard 5: Data Analysis

Resources

Benchmark

Indicator

  

B.  Use descriptive statistics to analyze and summarize data,            including measures of center, dispersion, correlation and           variability.

1.   Describe how a linear transformation of univariate data   affects range, mean, mode, and median.

2*.  Use technology to compute the standard deviation for a set          of data, and interpret standard deviation in relation to the         context or problem situation.

 

C.   Design and perform a statistical experiment, simulation or study;        collect and interpret data; and use descriptive statistics to   communicate and support predictions and conclusions.

 

 

 

 

 

1.   Design a statistical experiment, survey or study for a        problem; collect data for the problem; and interpret the data   with appropriate graphical displays, descriptive statistics,

      concepts of variability, causation, correlation and standard     deviation.

2.   Describe the role of randomization in a well-      designed study,        especially as compared to a convenience sample, and the   generalization of results from each.

3.   Evaluate validity of results of a study based on   characteristics of the study design, including sampling           method, summary statistics and data analysis techniques.

4.   Understand and use the concept of random variable, and      compute and interpret the expected value for a random      variable in simple cases.

5.   Identify and use various sampling methods (voluntary         response, convenience sample, random sample, stratified           random sample, census) in a study.

6.   Use sampling distributions as the basis for informal            inference.

 

D.  Connect statistical techniques to applications in workplace and   consumer situations.

1.     Use theoretical or experimental probability, including           simulations, to determine probabilities in real-world problem           situations involving uncertainty, such as mutually exclusive        events, complementary events and conditional probability.

 

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