Wiki User
∙ 12y agoacceptably high reliability
Wiki User
∙ 12y agoit depends what you researching? what are your hypotheses and how are you going to treat your variables (ordinal, continous)? what scale are u using? 3, 5, 7 or more?in one case the analysis is a bit limited on the other hand there are many choices like Pearsons linear Gronbachs alpha and so on
No, but they are labeled as not to scale if they are not to scale. Most of them are to scale.
41.2 Fahrenheit degrees is: Celsius Scale : 5.11 Kelvin Scale : 278.26 Rankine Scale : 500.87 Réaumur Scale: 6.39 Rømer Scale : 10.18 Delisle Scale: 142.33 Newton Scale : 15.49
balance scale balance things. oan scale dosent
What is the difference between a bar scale and a statement scale
The coefficient of variation should be computed only for data measured on a ratio scale, as the coefficient of variation may not have any meaning for data on an interval scale. Using relative values instead of absolute values can cause the formula to give an incorrect answer.
Map or bar scale
The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.
The Prism Scale cannot be obtained in Pokemon Omega Ruby and Alpha Sapphire. You'll need to trade for a Pokemon holding the Prism Scale to get it.
Any electromagnetic radiation can be dangerous. Alpha waves are higher on the radiation scale than x-rays so yes, they are dangerous.
Either an Interval or an Ordinal Scale
No. It is independent of both. See the link. Notice in the definitions, for both the population and sample versions of the coefficient, that the numerator involves subtracting both means and the denominator provides for dividing by both standard deviations. This makes both coefficients location and scale invariant.
R. E. Bilsborrow has written: 'A comparison of computed infiltration rates with results obtained from a set of full-scale measurements'
The Social Readjustment Rating Scale (SRRS) measures stress related to life events. It assigns a numerical value to various life events based on the amount of adjustment required, which can help predict the likelihood of developing stress-related illnesses.
Using insulators or metals with a small coefficient of linear expansion ensures that the scale does not expand or contract significantly with changes in temperature. This helps maintain the accuracy of the measurements taken using the scale, as it minimizes any distortions due to thermal expansion. Additionally, insulators or materials with low thermal expansion are more stable and less prone to warping, which further ensures the reliability of the scale.
The answer depends on what purpose the number serves. For example, it may be an exponent, it may be a scale factor or a phase shift.
The Holmes and Rahe Stress Scale measures stress in adult's lives. The test assigns values to different events in a person's life's. The higher the calmative value, the more stress a normal adult feels.