Correlation Analysis
Not what you're looking for?
Biomechanics of ligament and relationship between age, diagnosis and histology.
The aims were to determine whether there is a link between histology. That is SMA, EVG and MT and the other parameters. And a link between the histological parameters in themselves.
Hypothesis: young's modulus and/or yield and/or strain is related to age/diagnosis/histology
The samples are from ligaments removed from patients after surgery.
Patient number Age Diagnosis Duration of symptoms (months) EVG mt SMA strain Yield Youngs
1 28 Prolapse 6 0.7097 0.1178 82 63.32 1.51 0..067
2 48 Stenosis 84 0.6473 0.0978 26 177 4.55 0.051
3 80 Stenosis 144 0.6785 0.1301 19 105.01 1.4 0.021
4 68 Stenosis 36 0.6329 0.085 17
5 26 Prolapse 27
6 69 Stenosis 48 0.438 0.3909 9 205.29 6.41 0.058
7 36 Prolapse 42 0.6228 0.2268 71 161.67 1.68 0.0327
8 33 Prolapse 18 0.7498 0.1781 72 159.17 1.68 0.021
9 38 Stenosis 96 0.6397 0.2527 76
10 24 Prolapse 12 0.6999 0.134 63
1. is there a correlation between age and any of the other variables
2. is there a correlation between diagnosis and any of the other variables
3. is there a correlation between EVG,SMA or MT independent of other factors
4. Is there a correlation between the strain, yield or youngs and any of the MT, EVG and SMA
5. Is there a correlatin between youngs, yield and strain and age or diagnosis
6. Is there a correlation between duration of symptoms and SMA irrespective of other factors
Purchase this Solution
Solution Summary
Correlation analysis of Biomechanics of ligament, age, diagnosis and histology.
Solution Preview
Please see the attached file.
Biomechanics of ligament and relationship between age, diagnosis and histology.
The aims were to determine whether there is a link between histology. That is SMA, EVG and MT and the other parameters. And a link between the histological parameters in themselves.
Hypothesis: young's modulus and/or yield and/or strain is related to age/diagnosis/histology
The samples are from ligaments removed from patients after surgery.
Patient number Age Diagnosis Duration of symptoms (months) EVG mt SMA strain Yield Youngs
1 28 Prolapse 6 0.7097 0.1178 82 63.32 1.51 0..067
2 48 Stenosis 84 0.6473 0.0978 26 177 4.55 0.051
3 80 Stenosis 144 0.6785 0.1301 19 105.01 1.4 0.021
4 68 Stenosis 36 0.6329 0.085 17
5 26 Prolapse 27
6 69 Stenosis 48 0.438 0.3909 9 205.29 6.41 0.058
7 36 Prolapse 42 0.6228 0.2268 71 161.67 1.68 0.0327
8 33 Prolapse 18 0.7498 0.1781 72 159.17 1.68 0.021
9 38 Stenosis 96 0.6397 0.2527 76
10 24 Prolapse 12 0.6999 0.134 63
1. Is there a correlation between age and any of the other variables
The correlation between age and other variable are given below. The significance of correlation is also tested .
The null hypothesis considered is H0: r =0 Vs H1 : r ≠ 0
The test statistics used is . The conclusions are taken based on the p value. If p value is less than 0.05 , we reject ...
Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency
Tests knowledge of the three main measures of central tendency, including some simple calculation questions.
Know Your Statistical Concepts
Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.
Measures of Central Tendency
This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.
Terms and Definitions for Statistics
This quiz covers basic terms and definitions of statistics.