AP Statistics Curriculum 2007 Estim Var

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General Advance-Placement (AP) Statistics Curriculum - Estimating Population Variance

In manufacturing, and many other fields, controlling the amount of variance in producing machinery parts is very important. It is important that the parts vary little or not at all.

Estimating Population Variance and Standard Deviation

The most unbiased point estimate for the population variance Failed to parse (syntax error): \sigma&^2

is the  sample-variance  (s2) and the point estimate for the population standard deviation σ is the  sample standard deviation (s).

We use a Chi-square distribution to construct confidence intervals for the variance and standard distribution. If the random variable has a normal distribution, then the chi-square distribution is: . Properties: 1. All chi-squares values are greater than or equal to zero. 2. The chi-square distribution is a family of curves, each determined by the degrees of freedom. To form a confidence interval for , use the -distribution with degrees of freedom equal to one less than the sample size.

3. The area under each curve of the chi-square distribution equals one. 4. Chi-square distributions are positively skewed.


Approach

Models & strategies for solving the problem, data understanding & inference.

  • TBD

Model Validation

Checking/affirming underlying assumptions.

  • TBD

Computational Resources: Internet-based SOCR Tools

  • TBD

Examples

Computer simulations and real observed data.

  • TBD

Hands-on activities

Step-by-step practice problems.

  • TBD

References

  • TBD



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