Statistics Weeks 31-33 ending May 12

You have the following assignments to complete for this course:

  • Work day on working with two proportions MathXL assignment Due by May 5th
  • Final Exam on MathXL for School Due May 30th
  • Spring Data collection project <link> First deadline May 15th
  • Non-Parametric Significance testing presentation (This will happen on  Monday 5-15

MathXl For Schools : Non Parametric Significance testing Due May 19th

 

Statistics Week 30 ending 4/13

Monday

In class and HW

  • Workday Finishing the Two Sample Means + ANOVA MathXL exercises.
  • Moodle Test on this material

Tuesday

In Class:

  • Learning Target: We will be able to know when to run a Post Hoc test after conducting an ANOVA test.
  • Here is some data to work with for this material <link>
  • Here is an applet <link> that makes this work easy.
  • A MathXL assignment

HW:

  • MathXL + Moodle test

Wednesday

  • Work day

Thursday

  • I am not in school today
  • Work day. All due by midnight

Friday: No School

 

 

Statistics Week 29 ending 4/7

Monday

In Class:

Learning Target: We will be able to identify a study using a matched pairs design and perform a test of significance and calculate a confidence interval, interpreting both.

Hand out

A practice problem

HW

A practice problem

Tuesday

In Class:

Review practice problem

Learning Target: We will be able to perform a test of significance and calculate a confidence interval concerning the difference of the means for two populations, interpreting both results

HO + practice Problem

HW

MathXL assignment (you won’t be able to do it all, but you can start)

Wednesday

In Class: We will be able to understand some of the theory behind test for differences between three of more population means. (ANOVA)

Video: ANOVA Lecture from <link> to get some theory. In case you miss class <link> and complete these <notes>

HW:

MathXL

Here is an online ANOVA Calculator that makes the work easier than entering the data into a grapher. <link>

Thursday:

In Class: We will be able to use software to run an ANOVA test and interpret the results

HO

Practice Problems

HW:

MathXL

Here is a video walkthrough of a MathXL exercise

Friday:

Work day since some of you are gone

 

 

 

Statistics Week 28

Monday

Investigative Task is due at the start of class.

Learning Target: We will be able to apply single mean tests of significance and confidence intervals to problems.

HO

Practice problems.

<Link> to Assessing Normality Tools

HW:

Start MathXL Assignments if you desire

Tuesday

Questions?

Paper Practice Problem

Working on Math XL

HW:

MathXL

Wednesday

Paper Practice

MathXL work

Moodle Quiz . Complete it by the end of the day on Friday if you wanted it counted on this term. Otherwise due Monday night @ Midnight

HW

MathXL

Moodle Quiz

Thursday

Learning Target: We will be able to apply and interpret a test and a confidence interval for the difference between two proportions.

HO

Practice problems.

HW

Moodle Quiz

New MathXL assignment

Friday:

Paper Practice problem (two proportions)

MathXL

HW:

Moodle Quiz

MathXL (two proportions)

Statistics Week 24 and 25 ending 3/10

Monday

  • Work day, finishing up assignments from before break

Tuesday

  • Ditto
  • Watch Pile of p-hats

Wednesday

  • Do you have ESP?
  • Learning Target: We will be able to conduct a formal significance test for testing hypotheses of a population proportion.

Thursday

  • Practice with yesterday’s work

Friday

  • Working on MathXL assignment: Significance Testing for a Single Proportion

Wednesday 3/8

  • Finishing work on MathXL assignment
  • Complete Moodle Quiz on significance testing proportions

Thursday 3/9

  • Learning target: We will be able to estimate a population proportion using confidence intervals and confidence statements.
  • HO
  • MathXL work

Friday 3/10

  • Workday to finish up assignments.

 

Statistics Week 23 ending 2/17

Monday

  • Snowday

Tuesday

  • What did we work on last week?
  • Learning Target: We will be able apply the Central Limit Theorem to situations involving sample means and sample proportions
  • HO sampling dist key

HW

  • Today’s work

Wednesday

  • In Class:
  • Finishing Yesterday’s work
  • Workday/Practice with yesterday’s learning target
  • MathXL Practice problem set
  • Moodle 5 question quiz

HW:

  • The HO + MathXL/Moodle work

Thursday

In Class:

  • Finishing this week’s work
  • If you are ready, take the Moodle Quiz on sampling distributions

No HW

Friday:

  • Winter Carnival: No Class

Statistics Week 21 ending 2/3

Monday

Learning Target: We will be able to calculate probabilities using the Binomial Probability Distribution

Work to complete for a grade:

  1. HO (Sec 5.2) from last Week (Formative)
  2. MathXL Binomial Probability Assignment (Formative)
  3. Moodle Quiz on Discrete Probability Distribution + Binomial Probability Distribution Due Monday 2/(Summative)

Old work to complete:

  1. MathXL Probability HW
  2. MathXL Probability Quiz
  3. MathXL Discrete Prob Assignment

———————————————

Tuesday

  • Work day in Class: Get this work done

———————————————

Wednesday: Ditto

———————————————

Thursday: Poetry Outloud

———————————————

Friday:

  • Learning Target: We will be able to find probabilities using the Normal Approximation for Binomial Probabilities.
  • Handout from last week (Sec 5.3)
  • MathXL Assignment

Statistics Week 20 ending 1/27

Monday In Class:

·         Learning target: We will be able to find probabilities associated with discrete random variables.

·         HO

HW:

·         Finish HO exercises

·         Probability Quiz out at MathXL due Thursday 2/16

Tuesday In Class:

·         Workday

HW See Monday

Wednesday In Class:

·         Learning target: We will be able to find probabilities associated with the Binomial Probability Distribution

·         HO

HW:

·         See Monday

Thursday In Class:

·         Same learning target

·         Some practice problems

·         MathXL Assignment on Binomial Probability distribution

HW: See Monday + new MathXL assignment

Friday In Class

·         Workday

HW: This week’s work