Statistics Week 24 ending 2/15

Monday

In Class

  • 聽Learning Target: We will be able to conduct a significance test for statistical significance for a single proportion.
  • 聽Data Collection Activity
  • Test Single Proportions Notes

HW

  • Quiz in Moodle on Confidence intervals. This is due by 2:30 on Thursday
  • LTT Chapters 14 and 15 100+ word reflection in Moodle>Reading About Statistics. (This will give some people on a beach something to read 馃檪 This is also due Thursday
  • Optional: People going for an “A” will read SMTW Chapter 19 pp 493-499 and take notes.

Tuesday

In Class:

Further work with yesterday’s Learning Target

HO

MathXL work

HW:

Quiz

Today’s work

LTT reading


Wednesday and Thursday

In Class:

Work day

HW:

This work


Friday

Winter Carnival: No class

See you at Balloon Shaving?

Statistics Week 23 ending 2/9

Monday

In Class:

Workday

The following assignments from last week are聽 due by Thursday 2/8

  • Completing paper based exercises. See my work from last week to check your work.
  • Two MOM exercise sets in Moodle
  • A MathXL Cummulative exercise set

Tuesday

Poetry Out Loud is occurring. If you all want to go, I’ll go. If someone wants to stay and do work, I’ll stay and work and the rest of you can attend the recitations.

HW

This work.


Wednesday

I am not here (preliminary work for the IFR in Hartford I am attending tomorrow.)

You will be in the Library. I expect you to be quiet and work on these assignments. I’ll have the Chromebook cart + Graphing Calculators available.

Will a couple of you plug the Chromebooks in and wheel it back down to my room along with the calculators?


Thursday

I am not here. You have to finish up this assigned work. If you are finished, you may read LTT Chapters 14 and 15 and write a 100+ word reflection in Moodle.

HW:

  • All work is due by Midnight
  • Read the Investigative task. Be ready to ask questions Friday.

Friday

In class:

I am assessing how well you can:

  1. Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
  2. Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.
  3. Analyze decisions and strategies using probability concepts

In addition to Running Start objectives around estimating population parameters.

  • Take a look at the investigative task.
  • Time to work on it.
  • Your final report is due Monday @ the start of class.

 

Statistics Week 22 ending 2-2

Monday

In Class:

Work Day

  • Finish Paper based Exercises: Confidence Intervals: The Z Intervals (Population Standard Deviation known)
  • In Moodle>Single Sample Inference>Confidence Intervals – Pop std dev known (MOM Assignment)
  • Read LTT Chapter 8 and 12. Write a 100 + word reflection and post it in Moodle>Reading About Statistics.

Tuesday

In Class:

Learning Target: We will be able to estimate an unknown population proportion from a random sample (Confidence intervals: Proportions)

Handout+Paper Exercises聽One Prop Z int Key

Moodle>MOM exercises

HW

Work from last week cuts off tonight


Wednesday

In Class

Work Day

Finish the paper exercises + both Moodle>MOM exercise sets

HW

This work

  • Read LTT Chapter 8 and 12. Write a 100 + word reflection and post it in Moodle>Reading About Statistics.

Thursday

In Class:

Learning Target: We will be able to estimate a population mean when we do not know the population standard deviation.

Z vs T Confidence Intervals HO

+ exercises in the old pkt. Here is No Pop STd Dev Key

A MathXL Exercise set (Confidence Intervals Single Samples)聽 on this week’s work. Due Thursday 2/8 at the end of the day

HW:

This week’s work

LTT chapter 8 and 12 is due Sunday night at midnight on Moodle.


Friday

In Class:

Work day

HW:

This week’s work.

 

Statistics Week 21 ending 1/26

Monday

In Class:

  • Learning target: We will be able to apply the Central Limit Theorem to situations involving sample means and sample proportions.

Graded work:

  • Complete the paper exercises assigned last week. See my answers in last week’s work
  • Complete the MathXL assignments about Sampling Distributions.

HW:

  • This work
  • Take the Moodle Quiz on Sampling Distributions. I will also include a couple of questions about the binomial distribution and the Standard Normal Distribution. This is due by Friday 1/26
  • Watch this video <link> and answer the questions on page 7 for Wednesday.

Tuesday

In Class

  • Workday

HW:

  • Quiz
  • Video+questions

Wednesday:

Question: What is the average number of chips in a Chips Ahoy cookie?

  • Learning target: We will be able to use the z-distribution to estimate population means from a sample.
  • Data collection activity
  • Notes page 8

HW:

  • Quiz in Moodle

Thursday

In Class:

Learning targets:

  • We will be able to use the z-distribution to estimate population means from a sample.
  • We will be able to calculate how large a sample is required to estimate a population mean with a margin of error given a level of confidence.

Graded Work:

Paper Exercises聽 <My Answers/Work>

MathXL work

HW:

This work + any other work from this week that you have not completed.


Friday

Work Day

Finish up anything that you do not have done.

 

 

 

 

 

 

 

Statistics Week 20 ending 1/19

Monday:

No school for you


Tuesday

In Class:

Learning target: We will be able to describe the sampling distributions for sample means.

We will watch this video as an overview <link>

Exploration: The distribution of the age of a collection of pennies.

Draw a random sample of 5 pennies. Record the year made for each penny.

Return the pennies to the cup. Shake to randomize.

Repeat with a sample of 10 pennies.

Return the pennies to the cup. Shake to randomize.

Repeat with a sample of 30 pennies

Then record the year made for the rest of the pennies in the cup.

Submit your data using this spreadsheet <link> Note the tabs at the bottom


Wednesday

In Class:

Learning Target: We will be able to apply the Central Limit Theorem for sample means.

HO


Thursday

In Class:

Learning Target: We will be able to apply the Central Limit Theorem for Sample proportions.

Reese Pieces Activity: Data Collection.

 

You will need to use this applet for Activity 13-2 <link>


Friday:

Learning Target: We will be able to apply the Central Limit Theorem to find probabilities associated with Sampling Distributions.

We watch this video as a review/reteach

The we completed these exercises. I have a copy in your mail box. Here are my answers and work: sampling distribution key

 

Statistics Week 18 and 19 ending 1/12

You have to complete:

  • MathXLFor Schools:
  • SMTW Chapter 16 New (Binomial Probability work) Due Wednesday 1/10
  • Mid-Year Exam Review Jan 2018 Due Wednesday 1/10.

Moodle:

  • Mid Year Exam Part 2 Due Friday 1/12 (8:00AM) See Moodle for the details.
  • Sit for the paper based exam on Friday 1/12. You may take this at a different time. See me individually. Calculator only. No mobile devices/computers allowed. You may bring a double side 8.5 by 11 inch sheet of notes.

Each day during class we will spend part of it reviewing. You will have the rest of the time to work.

 

 

Statistics Week 16 and 17 ending 12/21

Monday 12/11

In Class:

There is a MathXL HW assignment on last week’s work and a MathXL quiz available. These two assignments are due by Wednesday night 12/13 at midnight.

HW:

This work


Tuesday 12/12

I am out at a training today.

Get the MathXL work on basic probability completed.


Wednesday 12/13

I am out at a training today.

Get the MathXL work on basic probability completed.


Thursday 12/14

In Class

Learning Target: We will be able to identify probability distributions for a Random Variable and calculate the mean and std dev.

HO

p407 # 3, #9, #19, #25, #35


Friday 12/15

In Class

Learning target: We will be able estimate probabilities using a simulation.

An Exploration

No HW


Monday 12/18

Learning target: We will be able to calculate probabilities associated for probabilities that are binomial experiments.

HO

HW:

Today’s work if you are not finished.


Tuesday 12/19

In Class:

MathXL assignment around calculatnig probabilities associated with the binomial distribution

HW:

This week’s work


No class Wednesday 12/20 because of Holiday show.


Thursday 12/21

In class

Workday: MathXL assignment goes into MMS as Missing @ 12:00 if you are not finished.

No HW over break.

 

 

 

 

 

 

 

Statistics Week 15 ending 12/8

Monday:

Learning target: We will be able to work with classical (theoretical) probabilities, relative frequency (experimental/empirical) probabilities and be able to identify subjective probabilities.

Learning Target: We will be able describe the Law of Large Numbers and contrast it with the fallacy: The of the Law of Averages.

We will watch this video <link>

Review the vocabulary

We will look at the Monty Hall Problem <link>

Complete p 64-65 # 1 – 9. Here are the answers to the starred exercises: <link>

HW:

This Work

The find a study assignment from last week. Due by Friday 12/8

Make a constructive comment on two different Biometrika projects. Due by Monday 12/11


Tuesday

In class:

Learning Target: We will be able to calculate conditional probabilities.

p 65 and 66: 10 – 13

if you were absent, here is a video about this section <link>

HW

This work

Anything that you do not have finished.


Wednesday

In Class:

We will be able to calculate “or” probabilities using the addition rule.

p 66-67 # 14-17

if you were absent, here is a video about this section <link>


Thursday

In Class:

We will be able to calculate “and” probabilities

p 68: 18 – 23

if you were absent, here is a video about this section <link>


Friday

In class:

We will be able to find “at least one” probabilities.

p 69: 24-29

if you were absent, here is a video about this section <link>

I’ll get your Find a study posts graded over the weekend.

Don’t forget about the biometrika comments (1 constructive comment of two different posts) This is the peer review element of biometrika.

 

 

 

 

Statistics Week 12 and 13 ending 11/21

Monday and Tuesday

In class:

A quiz in Moodle to make sure that you can access the site.

Working on MathXL practice problems. This is a 35 problem set. I am going to make it worth 150 Formative points. You must have it done by the end of the school day Tuesday 11/21.

There is also an online test in MathXL that you must have completed by Midnight Sunday night 11/26. This is a 100 point Summative Grade.

Wednesday

In class:

If you are not done with the Practice problems, keep working on them.

Your collected Biometrika project data is due in a spreadsheet.

You can begin analyzing your data. Here are the details <link>This work is due by midnight 11/26 on your Wikispaces>Biometrika>MiniProposal page. Make sure to include at least one image of your data collection process. Here is the聽聽 Biometrika聽grading Rubric聽 This biometrika final analysis is worth a 120 Summative points.

Thursday – Tuesday 11/21

Work days to get this work completed.

HW: This work.

Don’t forget to complete the the exam by the end of break.

If you do not want to do any work over break, get it done in the 9 days leading up to break.

Statistics Week 11 ending 11/9

Monday
In Class:

路聽聽聽聽聽聽聽聽 Learning Target: We will be able to use linear transformations on non-linear models, especially power and exponential models using logarithms.

Play one round of Geoguessr <link>

Record your Points earned and error distances for each of the five locations

Enter your points and errors using this form <link>

Here is your data in a google sheet <link>

World Population <link>

HW

  • Read Chapter 9 and take notes/vocab pp232-246
  • Collecting your Biometrika data
    Tuesday

In Class:

路聽聽聽聽聽聽聽聽 Practice with re-expressing data to fit a linear model and using a model to make predictions.

Here is a video聽 I recorded:

HW:

路聽聽聽聽聽聽聽聽 P 247: 1, 5, 15

Collecting your Biometrika data


Wednesday
In Class

路聽聽聽聽聽聽聽聽 Work day

路聽聽聽聽聽聽聽聽 P 250 15, p252 #23

路聽聽聽聽聽聽聽聽 MathXL Chapter 9 work

HW

  • This week鈥檚 work
  • Collecting your Biometrika data


Thursday
In Class

路聽聽聽聽聽聽聽聽 Work day finishing this week鈥檚 work

HW

路聽聽聽聽聽聽聽聽 Finishing up

  • Collecting your Biometrika data. This is due on Monday in a google spreadsheet.
  • Investigative task 3 is assigned. Due Monday 11/13. I have a copy in Moodle if you lose your copy. Also here is a <link> to a spreadsheet of the data. You can have access to this early if you complete the activity in Moodle.

Friday No School