Summer break.....always a bittersweet end. Sweet because summer vacation is FINALLY here and bitter because we won't be seeing each other anymore. Good news! I will be teaching 7th grade Science next year and I will have a lot of you again. You don't have to miss me too much, we will meet again!
On a more serious note, I will keep Reflex open all summer. Please practice your facts!!!! You want to keep them fresh in your mind for 7th grade math (it's hard). It doesn't take that long to get a green light and you don't need to be rotting your brain with video games ALL summer anyway. ;-) Also, there are several websites I have put on this blog over the year that help you practice skills you will also need for next year. Don't let yourself forget all we have done and worked so hard for. It'll make 7th grade that much easier if you retain and practice the things we've learned.
I hope you have a restful and fun summer break!
Mrs. Allison
Mrs. Allison's Class
Tuesday, May 26, 2015
Monday, May 18, 2015
Graphing with Polygons
Students might find this site helpful for practice at home or at school with graphing. It will be helpful to keep them sharp for 7th grade as well.
www.ixl.com/math/grade-6/coordinate-graphs-review
www.ixl.com/math/grade-6/coordinate-graphs-review
Monday, May 4, 2015
Performance Task Rubric
Parents: please make sure that your child has everything required on this rubric. I believe everyone can make a 100%!
Performance Task
This performance task is worth 100 points! It is very important to make sure it is complete and correct. There was a rubric given out when the assignment was given and students should be using it as their checklist or guide. Their digital presentation will be presented Thursday and Friday. They can access it at home through their google account if they need to continue working!
Don't forget PARCC testing will be Tuesday and Wednesday before lunch.
Don't forget PARCC testing will be Tuesday and Wednesday before lunch.
Tuesday, April 28, 2015
Test tomorrow
Our test tomorrow is 30 points. They will have to:
- make a box plot
- make a histogram
- find IQR
- describe a distribution (skewed/symmetric)
- know how to find and anaylze mean, median, mode, range
- be able to match a box plot to a set of data
- know the difference in a numerical and categorical question and be able to write one.
- compare to sets of data
Thursday, April 23, 2015
Review with online games
Students:
- Go to each of the links and play the games for practice with historgrams and box plots.
- Play several times and get comfortable with each.
https://www.mangahigh.com/en-us/math_games/data/representing_data/box_and_whisker_plots
http://www.mathgames.com/skill/6.130-create-histograms
http://interactivesites.weebly.com/mean-median-and-mode.html
https://www.mathsisfun.com/data/quartiles.html (scroll to bottom and answer questions)
https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/cc-6th-box-whisker-plots/e/calculating-the-interquartile-range--iqr-
http://www.onlinemathlearning.com/statistics-games.html
Monday, April 20, 2015
Mean Absolute Deviation
Tomorrow we will have a quiz over what we've been learning the last week and a half. We've been concentrating on interquartile range(IQR) and mean absolute deviation(MAD).
In order to find IQR, you must first find the median of the data set. Then you find the median of the lower half of the data and that will be your Q1. Then you find the median of the upper half of the data and that will be your Q3. If you subtract the Q1 from the Q3 it will result in your IQR.
To find mean absolute deviation we have been using a chart like the template above. We are averaging the distance all the data values are away from the mean.
In order to find IQR, you must first find the median of the data set. Then you find the median of the lower half of the data and that will be your Q1. Then you find the median of the upper half of the data and that will be your Q3. If you subtract the Q1 from the Q3 it will result in your IQR.
To find mean absolute deviation we have been using a chart like the template above. We are averaging the distance all the data values are away from the mean.
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