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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.
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What is the difference between heterogeneity and homogeneity in 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.
What does homogeneity of variance mean?
It means that the variance remains the same across the range of values of the variable.
What are the importance of the mean in statistics?
the mean is important in statistics because you will find out your average and can compare that mean to other things..
Disadvantages of the mean in statistics?
the mean is affected by outliers
What is differ of mean?
Probability/ Statistics
