SOCR Events May2008 C8 S1

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(New page: == SOCR May 2008 Event - Compute probabilities for discrete distributions and use sampling distributions to calculate approximate probabilities== ===Obtain sampl...)
(Obtain sample spaces and probability distributions for simple discrete random variables)
 
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===Obtain sample spaces and probability distributions for simple discrete random variables===
===Obtain sample spaces and probability distributions for simple discrete random variables===
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===Compute binomial probabilities using Pascal’s Triangle and the Binomial Theorem===
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* [[AP_Statistics_Curriculum_2007_Prob_Basics#Birthday_Paradox | Birthday Paradox Experiment]]
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* Explore the [[SOCR_EduMaterials_ExperimentsActivities | Coin, Card, Roulette, Die and Needle-dopping experiments]]
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===Compute means and variances of discrete random variables===  
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===Compute [[AP_Statistics_Curriculum_2007_Distrib_Binomial | binomial probabilities using Pascal’s Triangle and the Binomial Theorem]]===  
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===Compute probabilities using areas under the Normal Curve===
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===Compute [[AP_Statistics_Curriculum_2007_Distrib_MeanVar#Examples | means and variances of discrete random variables]]===  
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===Calculate parameters of sampling distributions for the sample average, sum, and proportion===
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===Compute [[AP_Statistics_Curriculum_2007_Normal_Std | probabilities using areas under the Normal Curve]]===
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===Calculate probabilities in real problems using sampling distributions===
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===Calculate [[AP_Statistics_Curriculum_2007_Limits_CLT#CLT_Applications | parameters of sampling distributions for the sample average, sum, and proportion]]===
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===[[AP_Statistics_Curriculum_2007_Estim_L_Mean#Example | Calculate probabilities in real problems using sampling distributions]]===

Current revision as of 00:28, 9 February 2008

Contents

SOCR May 2008 Event - Compute probabilities for discrete distributions and use sampling distributions to calculate approximate probabilities

Obtain sample spaces and probability distributions for simple discrete random variables

Compute binomial probabilities using Pascal’s Triangle and the Binomial Theorem

Compute means and variances of discrete random variables

Compute probabilities using areas under the Normal Curve

Calculate parameters of sampling distributions for the sample average, sum, and proportion

Calculate probabilities in real problems using sampling distributions

References



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