For the Confidence Intervals assignment you need to find an article online and answer two questions about it.
Complete the question by filling out this form:
https://docs.google.com/spreadsheet/viewform?hl=en_US&formkey=dDdkVkVvTXRCSlJfTnAzMDhUbGlhdUE6MQ#gid=0
This must be complete by Friday, December 2.
Thanks.
Monday, 28 November 2011
Sunday, 27 November 2011
Project
Here is the Project Assignment if you have misplaced it: http://dl.dropbox.com/u/39411274/Math%20Foundations%2020%20Project.docx
I have decided that giving you the Holiday Break to finish your projects may be better than having them due before the break. Presentations will be on Wednesday, January 4 and Thursday, January 5. If you would prefer to present before the break, speak to me and we will arrange that.
The presentations will be as follows:
Wednesday, January 4
Michelle
Aaron
Alex
Kelsey
Jeff
Nina
Brydon
Emily
Colby
Joel
Thursday, January 5
Sarah
Amy
Koralyn
Allysa
Tanner
Cody
Taryn
Miranda
You should email your presentation and other files to be displayed on the SmartBoard ahead of time. Email my mrbanow at gmail.com account. If you have any materials that are not digital, please bring them the day of your presentation and hand them in to me.
If you have questions now or over the break, email me and I will get back to you fairly quickly.
Good luck and have some fun! I hope your topic interests you!
I have decided that giving you the Holiday Break to finish your projects may be better than having them due before the break. Presentations will be on Wednesday, January 4 and Thursday, January 5. If you would prefer to present before the break, speak to me and we will arrange that.
The presentations will be as follows:
Wednesday, January 4
Michelle
Aaron
Alex
Kelsey
Jeff
Nina
Brydon
Emily
Colby
Joel
Thursday, January 5
Sarah
Amy
Koralyn
Allysa
Tanner
Cody
Taryn
Miranda
You should email your presentation and other files to be displayed on the SmartBoard ahead of time. Email my mrbanow at gmail.com account. If you have any materials that are not digital, please bring them the day of your presentation and hand them in to me.
If you have questions now or over the break, email me and I will get back to you fairly quickly.
Good luck and have some fun! I hope your topic interests you!
Friday, 18 November 2011
Statistical Analysis Exam
On Monday, November 21 there is an Open Book exam on sections 5.1-5.4.
The key concepts are:
- mean
- standard deviation
- frequency distribution tables
- histograms
- frequency polygons
- Normal distribution
Standard Deviation Calculator
Here are a couple of online tools to calculate standard deviation (among other things)!
http://www.numberempire.com/statisticscalculator.php On this one, check off Mean and Standard Deviation
http://www.miniwebtool.com/standard-deviation-calculator/ Works like a charm!
Good luck with your assignment!
http://www.numberempire.com/statisticscalculator.php On this one, check off Mean and Standard Deviation
http://www.miniwebtool.com/standard-deviation-calculator/ Works like a charm!
Good luck with your assignment!
Thursday, 17 November 2011
5.4 NORMAL DISTRBUTION CURVE
The first one is called a single point histogram or NORMAL DISTRBUTION CURVE the pink one is skewed
The blue one is a bi- modal and the orange one is uniform
Than we did a thing that involved rolling a dice 50 times and recording the sum of the numbers
Than we combined the whole class’ results and made the histogram
It was like the purple one with the top ones being 7 and 8
Than we looked at this graph
The blue one is a bi- modal and the orange one is uniform
Than we did a thing that involved rolling a dice 50 times and recording the sum of the numbers
Than we combined the whole class’ results and made the histogram
It was like the purple one with the top ones being 7 and 8
Than we looked at this graph

And this gave the standard deviation purpose. Telling us a lot about one set of data
Next is joel
Next is joel
Monday, 14 November 2011
Standard Deviation
We started section 5.3 today. We got a hand out and did the following question together:
"The coach of a girls' basketball team keeps stats on all of the players. Near the end of one game, the score is tied and the starting point guard gets fouled out. He needs to make a substitution. There are five girls on the bench who can sub in for the point guard."
The stats for the players were stated next.
Then we were asked which player was most consistent. We found that Paige was most consistent because her percentages were all between 33-35. They were not scattered, therefore they were consistent.
After that it said that the coach found that Paige and Patrice's values were close in value. He compared them more closely using standard deviation (a measure of the dispersion or scatter of data values in relation to the mean.)
We followed these steps to calculate the standard deviation for Paige:
-Determine the mean of Paige's shooting percentage.
(add all of Paige's percentages then divide by the amount of percentages there is. In this case there is ten.) We found that Paige's mean was 33.9.
-Calculate the deviation of each field goal percentage.
(Take one percentage and subtract it from the mean. Continue doing this with all the percentages.)
EX. 34-33.9=.1
-Calculate the squares of the deviations.
EX. The square root of .1 is .01. (Square root all deviations.)
-Fill in the values into the chart on the second page of the handout.
-Determine the standard deviation by:
-determining the mean of the squares of deviations.
(add all the squares of deviations and divide by 10)
Our answer was .69
-determining the square root of the mean from the step above^:
The square root of .69 is .8307.
Then we did the steps above for Patrice.
Next, we were asked who was more consistent between the two players. Our answer was Paige because .8307 is a smaller standard deviation than 1.4976(Patrice's standard deviation) and a smaller number means that here is more consistency.
We then calculated the mean and standard deviation using a graphing calculator. To do this, you must follow these steps:
-Stat
-Edit
-Enter the numbers
-Stat
-Calc
-1-var stats
-Enter.
(I probably forgot a step.)
We didn't finish the whole sheet but we will be finishing the rest in class tomorrow.
Next up is Colby.
"The coach of a girls' basketball team keeps stats on all of the players. Near the end of one game, the score is tied and the starting point guard gets fouled out. He needs to make a substitution. There are five girls on the bench who can sub in for the point guard."
The stats for the players were stated next.
Then we were asked which player was most consistent. We found that Paige was most consistent because her percentages were all between 33-35. They were not scattered, therefore they were consistent.
After that it said that the coach found that Paige and Patrice's values were close in value. He compared them more closely using standard deviation (a measure of the dispersion or scatter of data values in relation to the mean.)
We followed these steps to calculate the standard deviation for Paige:
-Determine the mean of Paige's shooting percentage.
(add all of Paige's percentages then divide by the amount of percentages there is. In this case there is ten.) We found that Paige's mean was 33.9.
-Calculate the deviation of each field goal percentage.
(Take one percentage and subtract it from the mean. Continue doing this with all the percentages.)
EX. 34-33.9=.1
-Calculate the squares of the deviations.
EX. The square root of .1 is .01. (Square root all deviations.)
-Fill in the values into the chart on the second page of the handout.
-Determine the standard deviation by:
-determining the mean of the squares of deviations.
(add all the squares of deviations and divide by 10)
Our answer was .69
-determining the square root of the mean from the step above^:
The square root of .69 is .8307.
Then we did the steps above for Patrice.
Next, we were asked who was more consistent between the two players. Our answer was Paige because .8307 is a smaller standard deviation than 1.4976(Patrice's standard deviation) and a smaller number means that here is more consistency.
We then calculated the mean and standard deviation using a graphing calculator. To do this, you must follow these steps:
-Stat
-Edit
-Enter the numbers
-Stat
-Calc
-1-var stats
-Enter.
(I probably forgot a step.)
We didn't finish the whole sheet but we will be finishing the rest in class tomorrow.
Next up is Colby.
Monday, 7 November 2011
5.1 Exploring Data
On Friday we started a new unit called Statistical Reasoning. This is about collecting data from a set of numbers or statistics. We learned new terms like: outliers, range, mean, median, and mode and how to draw a line plot. Alex did a pretty good job of summarizing those in the last post which makes it unnecessary for me.
Today we were supposed to hand in our diagnostic tests which the majority of people didn't do, so remember to hand those in asap. We then worked on a sheet given to us on section 5.1 Exploring Data, and we had to find the mean, median, mode and range for the life of a car battery. We discussed the results and found that based on our data neither brand x nor brand y were a better choice, but it depended on whether or not the consumer was willing to take a risk on purchasing a battery that could either last longer or shorter than the average time. We learned one new term which was dispersion.
Dispersion is a measure that varies by the spread among the data in a set; dispersion has a value of zero if all the data in a set is identical, and it increases in value as the data becomes more spread out.
After that we were assigned Pg. 212 #2 and 3.
The next person to write the blog will be Brydon. :)
Today we were supposed to hand in our diagnostic tests which the majority of people didn't do, so remember to hand those in asap. We then worked on a sheet given to us on section 5.1 Exploring Data, and we had to find the mean, median, mode and range for the life of a car battery. We discussed the results and found that based on our data neither brand x nor brand y were a better choice, but it depended on whether or not the consumer was willing to take a risk on purchasing a battery that could either last longer or shorter than the average time. We learned one new term which was dispersion.
Dispersion is a measure that varies by the spread among the data in a set; dispersion has a value of zero if all the data in a set is identical, and it increases in value as the data becomes more spread out.
After that we were assigned Pg. 212 #2 and 3.
The next person to write the blog will be Brydon. :)
Subscribe to:
Posts (Atom)
