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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.
What else can I help you with?
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
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.
Examples of test of independence and homogeneity?
Tests of independence and homogeneity are both chi-squared tests used in statistics. The test of independence assesses whether two categorical variables are related, such as examining if gender is associated with voting preference. In contrast, the test of homogeneity compares the distribution of a categorical variable across different populations, such as determining if the proportion of smokers is the same in urban and rural areas. Both tests help to analyze relationships between categorical data.
Can homogeneity be used to distinguish metals from non metals?
No, it can not be used. Every element has colour homogeneity.
What is a sentence using the word homogeneity?
There can then be questions of examining the homogeneity across sites of the distribution of the scaled values.
What does Sx2 mean in statistics?
In statistics, this is the symbol for the "Variance"
What would be a good sentence using the word homogeneity?
The jeans worn by most of the students gave a homogeneity to their appearance.
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..
What are the statistics on water-skiing?
What do you mean by statistics? Re-Ask the question.
The mean median and mode are examples of what type of statistics?
descriptive statistics
What type of statistics are mean median and mode?
They are statistics of central tendency.
What is an antonym for variety?
uniformity, homogeneity
