Geometry Pacing Guide ~ Trimester ‘A’



Statistics: Chapter 5 Assignments

Normal Probability Distributions

|Day |Section |Subject |Page |Assignment |Due Date |

|1 |5.1 |Introduction to Normal Distributions |248 |4-60 multiples of 4 | |

|2 |5.2 |Normal Dist: Finding Probabilities |256 |3-30 multiples of 3 | |

|3 |5.3 |Finding Values |266 |22-46 even | |

|4 |5.4 |Sampling Distributions and the CLT |278 |3-36 multiples of 3 | |

|5 |5.5 |Normal Approx. to Binomial Distributions |291 |2-24 even | |

|6 |Rev |Review |297 |4-54 multiples of 4 | |

|7 |TEST |Chapter 5 TEST | | | |

***Assignments could change day by day. If you are absent, assume the next assignment is due. Additional worksheets or problems could be given at any time.

Normal Probability Distributions (Learning Targets)

1. Introduction to Normal Distributions

What we should learn:

❑ How to interpret graphs of normal probability distributions

❑ How to find areas under the standard normal curve

2. Normal Dist: Finding Probabilities

❑ How to find probabilities for normally distributed variables using a table and a graphing calculator

3. Finding Values

❑ How to find a z-score given the area under the normal curve

❑ How to transform a z-score to an x-value

❑ How to find a specific data value of a normal distribution given the probability

4. Sampling Distributions and the Central Limit Theorem

❑ How to find sampling distributions and verify their properties

❑ How to interpret the Central Limit Theorem

❑ How to apply the CLT to find the probability of a sample mean

5. Normal Approx. to Binomial Distributions

❑ How to decide when the normal distribution can approximate the binomial distribution

❑ How to find the correction for continuity

❑ How to use the normal distribution to approximate binomial probabilities

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