Bio-statitics

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Bio-statistics

María Coy

Introduction:
Biostatistics is an application of statistics with topics of biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine and agriculture; and the collection, summarization, analysis, interpretation and inference from results of those data experiments. Biostatistics is useful for research anddevelopment in the analysis of human beings and what surround them. Some of the mayor uses of biostatistics are: measures of birth, death, and infant death rates; disease incidence and prevalence; and trends of this data over time. Proper adjustment of population rates to allow a correct interpretation of and comparison of it.
Average: a quantity intermediate to a set of quantities. Median: is a numericvalue which separates the higher half of the sample from the lower one. Mode: most repeat value of data taken. The last three things mentions purposes are the central tendency of the studied object.
Range: difference between the highest and the lowest data of a set. Variance: describes how far the values lie from the average. Standard Deviation: It shows how much variation there is from theaverage. A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data is spread out over a large range of values. T-test: is used to determine if the scores of two groups differ on a single variable. Define is the two groups are comparable or not. Correlation: is a single number that describes the degree ofrelationship between two variables, It ranges is from 1,0 to -1,0, the more closely the two variables are from 1,0 to -1,0, more related are . The last five things mention purposes are to find out the internal difference of a data with the other data of the same variable and the difference between one variable with the other.
This laboratory consist in make two different experiments: the first one is tomeasure human body parts from two different populations and the other from environmental things taking data from two different leaves; then takes the data of the same kind and analyze if they are comparable or not.


Data Collection:
MEASURE OF LEAVES |
|
Eugenias: | Feijoa: |
7 | 7,5 |
7,1 | 8,2 |
7,4 | 9,5 |
7 | 10 |
8,1 | 8,7 |
6,3 | 10,2 |
9,5 | 8,2 |
7,9 | 8,9 |9,1 | 8,5 |
8,3 | 8,5 |
6,2 | 8 |
7,3 | 9 |
7 | 8,7 |
8 | 8 |
8,5 | 7,8 |
MEASURES OF HAND |
|
Pre-school: | 9th Grade: |
12,3 | 18,5 |
10,5 | 17,5 |
11 | 17,2 |
10,8 | 20 |
11,5 | 17,5 |
11,2 | 17,6 |
11,7 | 17 |
10,7 | 16,7 |
10,8 | 18,4 |
11,3 | 19 |
12,1 | 19 |
11,3 | 18 |
10,4 | 16,6 |
10,8 | 16,8 |
10,9 | 18,2 |

In the first experiment ofthe measure of leaves, we toke two types of leaves that the school have, Eugenias and Feijoas; we measure it from the beginning of the leave until the tip of the blade. The second experiment, is the measure of hand in which we use children of pre-school and 9th grade; we measure they hands from the beginning of the hand until the tip of the middle finger.
Data processing:

Measures of Leaves:* Eugenias:
Average: 7,64 Mode: 7 Median: 7,4 Range: 3,3 Variance: 0,90 Standard Deviation: 0,94
* Feijoas:
Average: 8,64 Mode: 8,2/8,7/8,5/8=8,35 Median: 8,5 Range: 2,7 Variance: 0,59 Standard Deviation: 0,76
* Both:
Standard Error: 0,14 Degrees of freedom: -2=2 T-value: 7,14 Correlation: -0,54Measure of Hands:
* Pre-school children:
Average: 11,15 Mode: 10,8 Median: 11 Range: 1,9 Variance: 0,30 Standard Deviation: 0,54
* 9th grade children
Average: 17.86 Mode: 17,5/19=18,25 Median: 17,6 Range: 3,4 Variance: 0,93 Standard Deviation: 0,96
* Both
Standard Error: 0,20 Degrees of freedom: -2=2...
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