Showing posts with label mmm. Show all posts
Showing posts with label mmm. Show all posts

Braden's measures of central tendency

Thursday, October 30, 2008

Mean


arrange all the data in ascending order and then add up all the numbers and divide it by how many numbers there are. Mean is less accurate.



Meadian


arrange all the data in ascending order and find the middle number if there is two middle numbers divide them by 2. good if theres an outlier.


Mode


arrange the data in ascending order and find the number that appears the most. You can also have more than one mode or you can have no mode at all.


Range


arrange the data in ascending order and subtract the largest data from the smallest data







Joysie's Measures of Central Tendency

Wednesday, October 15, 2008

Mean

  • Arrange data in ascending order

  • Add all data then divide the data by the number of data
Median

  • Arrange data in ascending order

  • The Median is the middle number
Mode

  • Arrage data in ascending order

  • The mode is the most frequent occuring number
Range



  • Arrange data in ascending order



  • Subtract the smallest data from the largest data









Joshs Measures of Central Tendancy

Thursday, October 9, 2008
Mean
  • put your data in numerical order
  • add up every piece of data
  • divide by the number of pieces of data there were

median
  • arange your data in numerical order
  • cross out one number on both sides till you find the middle
  • if there are two numbers add them up and divide them by two

mode
  • the most common number in a set of data



range
  • arrange your data in numerical order
  • subtract your lowest data from your highest data




Alex's Measures of Central Tendancy

Friday, October 3, 2008
Mean.




  • arrange data in ascending order.

  • the sum of all data divided by the number of data.

  • with an oulier the mean is less accurate




Median



  • arrange the data in ascending order.

  • find the middle number

  • if there are 2 middle numbers you find the mean of them.

  • great to use if theres no outlier.
Mode



  • arrange the data in ascending order.

  • find the data that occurs the most in the set of data.

  • you can have more than one mode.

  • you can have no mode.





Range



  • arrange the data in ascending order.

  • subtract the smallest data from the biggest data

  • Large Range = Outlier


Here is the Video I found on MMM






Avery's Measures of Central Tendancy

Thursday, October 2, 2008
Mean

  • Arrange the data in ascending order
  • the sum of all data divided by the number of data
  • with an outlier the mean is less accurate "average"


1,2,3,4,5

1+2+3+4+5 = 15

15 divided by 5 equals 3

3 is the Mean


  • Arrange the data in ascending order Find the middle number
  • If there are 2 middle numbers you have to find the mean of them
  • Great to use if there is an outlier

1,2,3,4,5

1 , 5

2 , 4

3

3 is the median


  • Arrange data in ascending order Find the data that occurs the most
  • You can have more than one mode
  • You can have no mode

1,2,4,4,5

4 appears the most
4 is the Mode


  • Arrange data in ascending order
  • Subtract the smallest number from the largest
  • Large=Outlier

1,2,3,4,5

1 is the smallest

5 is the largest

1 - 5 = 4

4 is the range







John's Measures of Central Tendency

Wednesday, October 1, 2008

Mean

  • Arrange data in ascending numerical order.
  • Divide the sum of all of the numbers in that set of data by how many numbers there are.


Median

  • Arrange data in ascending numerical order.
  • Find the middle number by crossing of the end numbers until you have one or two numbers left.
  • If you have two numbers left, add both of those numbers together and then divide that number by two.
  • If you have one more number left, you have got your median.
  • Great to use if there is an outlier.


Mode


  • Arrange data in ascending numerical order.
  • you can have more than one mode or no mode at all.






Range

  • Arrange data in ascending numerical number.
  • Subtract the largest piece of that from the smallest.
  • If you have a large range there is a possibility that you have an outlier.


Here is a video of Mean Median and Mode . . .































Erika's Measures of Central Tendency

  • Arrange the data in ascending order.
  • The sum of numbers divided by how many numbers there are in a data .
  • With an outlier the mean is less accurate.

Median :

  • Arrange the data in ascending order.
  • The middle number in a set of data.
  • Find the middle number.
  • If there are 2 middle numbers you find the mean of them.
  • Great to use if there's an outlier.

Mode :

  • Arrange the data in ascending order.
  • The most frequently used number in the data.
  • Data that appears the most.
  • More than one mode.
  • You can have no mode.

Range :

  • Arrange the data in ascending order.
  • Subtract the smallest data from the largest data

This is the video I found on MEAN , MEDIAN , MODE , and RANGE .



Lara's Measures of Central Tendency, mmm

Tuesday, September 30, 2008
MEAN!
-arrange data in ascending order
-the sum of all data










MEDIAN!
-great to use if there is an outlier
-Find middle number
-data must be arranged in numerical order
-if there are 2 middle numbers,you find the mean of them


















MODE!
-Find the most common number in the set of data
-arrange data in ascending order
-you can have more then one mode or you can have no mode









RANGE!
-arrange the data in ascending order
-subtract the smallest data from the largest data
-Large Range=Outlier




Here is a video i found on mean, median, and mode !












Jai's Measures of Central Tendancy

Mean

  • Arrange data in ascendeing numerical order.

  • Divide the sum of all of the numbers in that set of data by how many numbers there are.
  • With an outlier less accurate..







Median
  • Arrange data in ascending numerical order.
  • Find the middle number by crossing of the end numbers until you have one or two numbers left.
  • If you have two numbers left, add both of those numbers together and then divide that number by two.

  • If you have one more number left, you have got your median.
  • Great to use if there is an outlier.









Mode

  • Arrange data in ascending numerical order.
  • You can have more than one mode or no mode at all.








Range

  • Arrange data in ascending numerical number.
  • Subtract the largest piece of dat from the smallest.
  • If you have a large range there is a posibility that you have an outlier.

This is a video that I found about mean, medain, mode, and range.

Breann's 3 m's

Monday, September 29, 2008
mean
  • ascending order


  • sum of all the data

  • number of data

median



  • ascending numerical order



  • the middle number



  • found in the middle













mode



  • ascending order


  • most common number


  • number that shows up the most


range



  • ascending order



  • added up numbers



  • divided

Here is a movie about mean median mode







Tanners mean, median and mode

Mean
  • the sum of all data devided by the number of data
  • outlier effects the outcome

This is a link about the mean

http://www.robertniles.com/stats/mean.shtml

Median

  • the middle number of a set of data
  • there are two middle numbers find the mean of the numbers

This is a link about median

http://www.robertniles.com/stats/median.shtml

Mode

  • the number that shows up the most

there can be more than one or no mode

This is a link about mode

http://www.mathgoodies.com/lessons/vol8/mode.html

Range

  • the largestest data minus the smallest data
  • an outlier effects the outcome

This is a link about range

http://www.mathgoodies.com/lessons/vol8/range.html

Johnray measures of central Tendancy.

Mean

  • The sum of a set of values divided by the number of values in the set.
  • Arrange the data in ascending order.


Median


  • The middle number in a set of data after have been arranged in order.
  • The median is a measure of central tendency that describes the middle of the set
    of data.

Mode


  • The mode is the most frequently occurring value in a set of data.
  • The item in a list of numbers that appears most often is the mode. For example:

Range


  • The range of a set of data is the difference between the highest and lowest values in the set.
  • Range is obtained by taking the difference of the maximum and minimum values of a given data set.

kimmy's measures of central tendency

















mean (:



arrange the data in ascending order




the sum of the numbers divided by how many numbers there are in the data


number of data




with an outlier the mean is less accurate " average"


median




arrange the data in ascending order



the middle number in the set of data



if there are 2 middle numbers you find the mean of them


great to use if there is an outlier

mode



arrange the data in ascending order



the most frequently used number in the data



you can have more then 1 mode and no mode


Range




arrange the data in ascending order



subtract the smallest data from the largest data



large range = outlier



Alyanna's Measure of Central Tendency


Mean

- arrange the data in ascending order
- the sum of numbers divided by how many numbers there are in the data- w/ an outlier the mean is less accurate "average"
Median

- arrange the data in ascending order
- the middle number in a set of data
- if there are 2 middle numbers you find the mean of them
- great to use if there is an outlier

Mode

- arrange the data in ascending order
- most frequently used number in the data
- you can have more then one more or NO mode





- arrange the data in ascending order
- subtract the smallest number from the biggest number
- outlier = biggest number



Here is a video of Mean Median and Mode ..




Josh T's Measures of Central Tendency

Mean



  • all the numbers added together and divided by the numbers i

  • good way to find the average














Mode



  • the most occurring number in the set of data

  • easy way to find the average if most are the same number
















Median



  • the exact middle number

  • good way to find the average if there is an outlier















Range



  • the biggest number subtracted by the lowest number in the set of data

  • it helps find the middle number in between those two numbers














































Here is a video i found on mean, median, and mode.




Linda's Measures Of Central Tendency

Sunday, September 28, 2008
MEAN
Definition:
-Arrange the data in ascending order

-Add all the data and divide by how many pieces of data there are

-When an outliers are present, it makes the mean less accurate
MEDIAN
Definition:

-You must arrange the data in ascending order

-Find the number in the middle number

-If there are 2 numbers in the middle, add them, then divide by 2

-Using the median is appropriate if there are outliers present because it gets rid of them


MODE

Definition:

-Arrange the data in ascending order
-
The most frequently occurring number in a set of data

-There can be more than one mode

-There can be no mode at all


RANGE
Definition:
-You must arrange the data in ascending order

-Subtract the smallest data from the biggest data

-Range tells you if there are outliers

-The smaller the range, the less chance there is of being outliers present

Here is a video of Mean Median and Mode...


Kevin's Measures of Central Tendency


Mean
  • Arrange in ascending order
  • Add all the data together, then divide the sum by the number of data
  • If there is an outlier in the data, it is not as accurate

Median
  • Arrange in ascending order
  • Find the middle number
  • If there are two middle numbers, add them up and divide them in half
  • It is better to use the median than the mean when there is an outlier, because the median will cross it out

Mode
  • Arrange in ascending order
  • Find the number that occurs most
  • There can be more than one mode
  • There can also be no mode

Range
  • Arrange in numerical order
  • Subtract the smallest data from the largest data
  • If the range is big, it can tell you that there probably is an outlier

Here is a video I found about MMM