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Dmitry [639]
2 years ago
11

When a lunar eclipse happens, which would we not see: the sun or the moon?

Biology
2 answers:
Nookie1986 [14]2 years ago
7 0

Answer:

the sun

Explanation:

The typical lunar eclipse happens when the Sun, Earth and moon are all aligned 180 degrees apart from each other in the sky. When this happens, the Earth casts a shadow onto the moon, so the Sun should not be visible at all if you can still see the moon.

aalyn [17]2 years ago
7 0

Answer: you would not see the sun

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Answer:

Causal association is defined as two events in which one event leads to the cause/development of the second event such as the consumption of trans-fats and the onset of heart disease. In order to show the causal association, it is necessary to ensure that the 3 criteria of temporality, consistency, and strength are satisfied with respect to the relationship between consumption of trans fats and heart disease. According to this example involving the relationship between trans-fats and heart disease, temporality could be satisfied if one is consuming an excessive amount of foods containing trans-fats such asFrench fries, and who then ends up suffering from heart disease. In order to fulfill the criteria of strength, statistical tests would need to be performed in order to establish that there is a positive correlation between the individuals who consume trans-fats 10 times per week are shown to develop and require treatment for heart disease 90% of the time. Lastly, consistency may be fulfilled by showing that the same results are occurring despite applying the same testing measures on different groups of individuals during various increments. By applying the same tests on different groups, the chances of creating false-positives within the study can be significantly lowered. Numerous studies can be used to determine whether meaningful statements regarding the causal relationship between two factors can be established. By performing multiple studies on individuals’ eating habits and their health outcomes, researchers may then determine whether a relationship exists between the health challenges that they are faced with and the items that they consume.

Explanation:

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3 years ago
Which cell structure serves the stated function in both eukaryotic and prokaryotic cells?
kotykmax [81]

Answer:

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2 years ago
When thinking about genotypes and phenotypes, which is the cause and which is the effect?
Aleksandr [31]

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A particular genotype does not necessarily guarantee a particular phenotype. Understanding what factors can change this expression is quite complex.. What is what i believe that above statement meant.

Explanation:

Error is the stochastic variation associated with a particular observation of the phenotype (and is managed by use of replication and and appropriate experimental design). The phenotype is the result not only of the average effect of the different alleles at a given locus across test units and across environments, but is impacted by the interaction between the different alleles and the environments (including genetic backgrounds) in which they are evaluated. Phenotype is not simply the sum of the genotype effect and the environment effect, as indicated in the mathematical formula that you provide.

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2 years ago
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2 years ago
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The single factor tested in an experiment is:
bearhunter [10]

Answer:

Explanation:

Experiment Basics

The experiment is the foundation of the scientific method, which is a systematic means of exploring the world around you. Although some experiments take place in laboratories, you could perform an experiment anywhere, at any time.

Take a look at the steps of the scientific method:

Make observations.

Formulate a hypothesis.

Design and conduct an experiment to test the hypothesis.

Evaluate the results of the experiment.

Accept or reject the hypothesis.

If necessary, make and test a new hypothesis.

Types of Experiments

Natural Experiments: A natural experiment also is called a quasi-experiment. A natural experiment involves making a prediction or forming a hypothesis and then gathering data by observing a system. The variables are not controlled in a natural experiment.

Controlled Experiments: Lab experiments are controlled experiments, although you can perform a controlled experiment outside of a lab setting! In a controlled experiment, you compare an experimental group with a control group. Ideally, these two groups are identical except for one variable, the independent variable.

Field Experiments: A field experiment may be either a natural experiment or a controlled experiment. It takes place in a real-world setting, rather than under lab conditions. For example, an experiment involving an animal in its natural habitat would be a field experiment.Simply put, a variable is anything you can change or control in an experiment. Common examples of variables include temperature, duration of the experiment, composition of a material, amount of light, etc. There are three kinds of variables in an experiment: controlled variables, independent variables and dependent variables.

Controlled variables, sometimes called constant variables are variables that are kept constant or unchanging. For example, if you are doing an experiment measuring the fizz released from different types of soda, you might control the size of the container so that all brands of soda would be in 12-oz cans. If you are performing an experiment on the effect of spraying plants with different chemicals, you would try to maintain the same pressure and maybe the same volume when spraying your plants.

The independent variable is the one factor that you are changing. It is one factor because usually in an experiment you try to change one thing at a time. This makes measurements and interpretation of the data much easier. If you are trying to determine whether heating water allows you to dissolve more sugar in the water then your independent variable is the temperature of the water. This is the variable you are purposely controlling.

The dependent variable is the variable you observe, to see whether it is affected by your independent variable. In the example where you are heating water to see if this affects the amount of sugar you can dissolve, the mass or volume of sugar (whichever you choose to measure) would be your dependent variable.

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