What do we do?
Our group decided to represent the data obtained from the waste we produce, we organize the data in a table considering the average amount of garbage bags
Organic each family of each member of the group produced a week.
Ex.:
3.6 3.6 2.9 4.1 3.2 4.7 2.5 6.1 4.9 3.8
2.9 3.0 4.1 4.5 3.2 3.6 3.7 4.0 4.2 5.0
To calculate this way, we have to know how many bags of trash produced in a week, and divide by the number of people living in each house.
Ex.:
If I produce 10 bags of garbage a week. If my household is 5 persons, I 2 = 10:5. So to say that on average I produce two bags of garbage per week.
Reflection of Week 2:
This week we continue to do work related to the project ITEC and discipline of Natural Sciences. We also did a search on the subject we are learning in Mathematics. Next week we will begin to count the waste we produce. We only need to put the two weekly reflections on the blog, and while we had no difficulty at all.
Statistical variables:
The statistical variables can be qualitative or quantitative (continuous or discrete). The qualitative variables defining qualities of individuals (eg, gender, marital status, hair color) and quantitative variables are measurable characteristics of individuals (eg, age, weight, number of siblings).
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| Qualitative variable |
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Quantitative variable
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Census (or census) and probing:
In the census study performs with all elements of the population and the survey study makes up a portion of the population (the sample).
Measures of location (mean, mode, median and quartiles):
Average: add up the values and divide by the total data;
Fashion: given that most frequently occurs, no data sets with more than a fashion (bimodal, trimodal, ...) and others who have no fashion (amodal).
Median (or second quartile): is a value that divides the sample ordered in half, ie, 50% of the sample elements are less than or equal to the median and the remaining 50% are greater than or equal to the median. To calculate the median values are placed in ascending or descending order, and if the number of data is odd, the median is the central value. If the number of data is even, the median is the average of the two central values.
Quartiles: once the sample divided into two parts with equal number of elements, each of these parts can still be halved. The median of the lower and upper part of the data, called respectively 1. Quartile and 3. Quartile and represent for Q1 and Q3. Thus, 1. Quartile, median, and 3. Quartile divided samples (ordinate) in 4 equal portions, each containing 25% of the data.
Chart or diagram stem-and-leaf:
It is a representation that lies between the table and the graph, since, in general, presents the true values of the sample, but in a manner suggestive reminds the histogram. The graph stem-and-leaf is very useful for comparing observations which relate to the same variable, but which have been collected in groups (populations) distinct. To represent the stem-and-leaf parallel, we determined the stems (common) from the sample of greater magnitude.
Measures of dispersion (range and interquartile range)
Amplitude of a data set: the difference between the maximum and minimum sample values;
Interquartile range of a data set: it is the difference between the 3rd and 1st quartile (Q3 - Q1). The variability (scatter) of the data that lie between the 1st and 3rd quartiles is greater the greater the interquartile range.
Knowing the extremes (minimum and maximum), median and quartiles is possible to construct a diagram of extremes and quartiles.
Symmetry
Symmetric distributions:
A distribution is said to be symmetric if the average divide the histogram into two equal halves. If the data distribution is roughly symmetric present, then the mean and median coincide (or are near values) (Median = Average)
Skewed distributions:
(1) Bias on the right:
If distribution has a greater concentration of data near the minimum value, it is said skewed to the right (the right tail is longer) and the median is to the left of the average (median <Average)
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(2) Bias on the left:
If the distribution has a higher concentration of data near the maximum value, it is said skewed to the left (the left tail is longer) and the median is to the right of the mean (median> Media)
Hello!
We are Team I, and we are at 8th form (class 8th 2) at Francisco Sanches School. There are 4 members in our team: Inês Pinheiro- the team leader, Sara Ferreira, Diogo Botica and Claudia Reis. We like our group, and we will try organize it the best way we can!
Each one of us has a diferente task along the project, to thus, we get a good team work! Sara Ferreira will write messages in Portuguese, Ines translate them , Diogo do reflections and help Claudia to do the video.
During our 1nd term at school we also participated in the ITEC project, but it was a diferente work- we had to create a game in Scratch. This term the work is related with our Maths and Science subjects.
These are the blogs of the last term:
We hope you'll enjoy our blog!
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| Our group is Team 1 (the purple) |
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