That question, this incomplete. The full question is:
3. Three redwood trees are kept at different humidity levels inside a greenhouse for 12 weeks. One tree is left outside in normal conditions. The heights of the trees are measured once a week. What are the dependent variables, independent and the controlled variable of this experiment?
Answer:
- Independent variable: different humidity levels
- Dependent variable: the heights of the trees
- controlled variable: the types of trees
Explanation:
An independent variable is one that exerts an influence within the experiment and can be measured, acting on other elements to promote the observation of a result. As the experiment seeks to observe the influence of humidity on the height of the tree, we can say that humidity is the independent variable.
Dependent variable is that which is influenced by the independent variable to generate a result that can be observed, can also be measured. As the experiment wishes to analyze how the height of the trees was affected by the level of humidity, we can say that the height of the trees is the dependent variable.
Controlled variable is that which is present in the experiment in a constant and equal way, cannot be measured. This variable is the type of trees.
Answer:
Shorter beaks will be best for finding food in abundant rainfall.
A glucogenic amino acid is an amino acid that can be converted into glucose through gluconeogenesis. This is in contrast to the ketogenic amino acids, which are converted into ketone bodies.
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HI there!!!!!!
It would probably be the heart, brain or our muscles; they are constantly working !
Answer:
Height is affected by multiple pairs of genes on different chromosomes.
Explanation:
The quantitative traits are those whose inheritance pattern is the result of the action of multiple genes that act together with the environment. The distribution of quantitative traits in the population follows a bell-shaped curve, which is referred to as normal distribution or Gaussian distribution. These traits are 'quantitative' because they vary among individuals in the population to produce a continuous range of phenotypic values. Examples of quantitative traits include, among others, metabolic rate, height, and weight.