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```					Farm Project
Farm statistics
Statistics                                     Farm Projects

Goal: Identify problem and determine change desired.                              Normal Distribution
18
16
14

Hypothesis: What is expected when a treatment study is               12
10

employed . (The analysis disproves the null hypothesis, Ho =          8
6

no differences in treatment groups.)                                  4
2
0
1        2         3            4         5       6       7
Methods: Determine treatment groups; paired or random.
It is often difficult to use random sampling on farms, but
when grouped it should be evenly divided. Need a control                                     Skewed Right
group to compare to the treatment group. Sometimes a                  30

25
positive control can be used when a treatment is already              20

known.                                                                15

10

Analysis: Visually inspect the data, check to see if it look ok.      5

Plot out the data to see if it is normally distributed before         0
1       2     3    4         5      6     7       8   9

choosing analysis. Is it continuous or categorical.

Chi Square                        T-Test                                    Linear Regression
Died     Survived    Cows     Pre-BST Post-BST                                              SCC vs DIM

1          60       65         900,000
Tetra tx      85        395        2          78       76         800,000
700,000
3          67       67         600,000
No tx        72        403        4          63       81         500,000
400,000
5          63       80         300,000
200,000
6          71       68
2 =
100,000
Chi          1.13, P = .28         7          74       76               0
0        50        100          150       200     250         300   350
8          73       74
9          71       86
10         74       80
cow              DIM              SCC
Mean       69.4     75.3                                100                   250    700,000
P= 0.043541                              101                   100    300,000
102                    45    200,000
103                    80    400,000
104                    15    200,000
105                   150    500,000
106                   115    650,000
Results & Discussion: Describe the data based the analysis                               107                   200    800,000
and difference as measured by the methods procedure.                                     108                    10    150,000
109                   300    700,000
Describe these changes as related the goals and hypothesis.
Note the level of significance as measured by the statistical
analysis selected to measure differences.
Control Chart
Monitoring: Setting up control charts are useful ways to                                                                             
                                       
monitor herd problems. A chart is developed to determine the                                                               
                           
mean and plot a chart with one/two standard deviations on each                                                  
side of the mean.

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