What is a high T score?
A T-score of -1.0 or above is normal bone density. Examples are 0.9, 0 and -0.9. A T-score between -1.0 and -2.5 means you have low bone mass or osteopenia. Examples are T-scores of -1.1, -1.6 and -2.4. A T-score of -2.5 or below is a diagnosis of osteoporosis.
What is a serious T-score for osteoporosis?
A T-score between −1 and −2.5 indicates that you have low bone mass, although not low enough to be diagnosed with osteoporosis. A T-score of −2.5 or lower indicates that you have osteoporosis. The greater the negative number, the more severe the osteoporosis.
What is the T-score for osteoporosis?
Osteoporosis — People with osteoporosis have a T-score of -2.5 or less. Larger numbers (eg, -3.0) indicate lower bone density because this is a negative number. The lower the bone density, the greater the risk of fracture.
How do you know if two samples are statistically different?
If there is no difference between the means of the two measures, then the mean difference will be 0. Since 0 is not in our confidence interval, then the means are statistically different (or statistical significant or statistically different).
How do you know if data is statistically different?
Look up the normal distribution in a statistics table. Statistics tables can be found online or in statistics textbooks. Find the value for the intersection of the correct degrees of freedom and alpha. If this value is less than or equal to the chi-square value, the data is statistically significant.
What are the two types of Chi-square tests?
There are two commonly used Chi-square tests: the Chi-square goodness of fit test and the Chi-square test of independence. Both tests involve variables that divide your data into categories.
What is a good Chi-square value?
If the significance value that is p-value associated with chi-square statistics is 0.002, there is very strong evidence of rejecting the null hypothesis of no fit. It means good fit.