hormone 'x' is known to induce growth in seedlings at a specific concentration. Here, the experimenter wants to determine how long it takes for the hormone's effects to become apparent in the seedling. They have decided to measure the length of the seedlings stem (the hypocotyl), to observe the effect of the hormone, every 2 hours. Only one group of seedlings will be required. These measurements will be compared to a control measurement taken at time 0 (zero) before the hormone treatment has been applied to the seedlings.
Homogeneity means that the statistical properties of the variable which is being studied remain the same across the population. Heterogeneity means that they do not: it could be that the mean changes between different subsets of the population or the variance does.
It means that the variance remains the same across the range of values of the variable.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
the mean is affected by outliers
Probability/ Statistics
Homogeneity means that the statistical properties of the variable which is being studied remain the same across the population. Heterogeneity means that they do not: it could be that the mean changes between different subsets of the population or the variance does.
Homogeneity is ensured by vigurous mixing.
It means that the variance remains the same across the range of values of the variable.
No, it can not be used. Every element has colour homogeneity.
There can then be questions of examining the homogeneity across sites of the distribution of the scaled values.
The team's homogeneity in their skills and work ethic allowed them to collaborate effectively on the project.
In statistics, this is the symbol for the "Variance"
Heterogeneity is described as being diverse in nature, or containing of different particles. Homogeneity is described as being a whole, or a substance containing all alike particles. Heterogeneity and homogeneity can be described as opposites.
uniformity, homogeneity
Mean is the average.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
The homogeneity of a mixture is improved.