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What is a summary that explains whether the data support the hypothesis?
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
What makes a hypothesis become a theory?
A hypothesis is used to make predictions. Experiments are carried out to test these predictions. If the outcome of the experiment was not as predicted then the hypothesis is falsified. It is either rejected or modified. If the outcome of the experiment confirms the prediction then that provides some evidence that the hypothesis is true.Over time, after testing different predictions, there will be a significant amount of evidence in favour of the hypothesis, and all the main alternatives have been rejected. At that stage the hypothesis becomes a theory.
A possible explanation or answer to a question is a?
A hypothesis
When you decide whether or not the data supports the original hypothesis you are?
When you decide whether or not the data supports the original hypothesis, you are engaging in hypothesis testing. This process involves analyzing the collected data to determine if it aligns with your predictions or expectations. If the data shows significant evidence in favor of the hypothesis, it can be accepted; if not, the hypothesis may need to be rejected or revised. Ultimately, this decision helps validate or challenge your initial assumptions based on empirical evidence.
Can hypothesis be called a theory?
A hypothesis and a theory are distinct concepts in scientific terminology. A hypothesis is a testable prediction or explanation based on limited evidence, while a theory is a well-substantiated explanation of an aspect of the natural world that is supported by a significant body of evidence. While a hypothesis can be a stepping stone to developing a theory, it cannot be called a theory until it has been rigorously tested and widely accepted by the scientific community.
What is null hypothesis in negatively stated in hypothesis formulated?
a negatively stated hypothesis. example: the application of horse manure has no significant effect!
What is the difference between a null hypothesis and a research hypothesis?
The null hypothesis is the default hypothesis. It is the hypothesis that there is no difference between the control group and the treatment group. The research hypothesis proposes that there is a significant difference between the control group and the treatment group.
What are the two part of a hypothesis?
The two parts of a hypothesis are the null hypothesis, which states that there is no significant difference or relationship, and the alternative hypothesis, which suggests that there is a significant difference or relationship between variables.
What is the meaning of declare value?
When forming a hypothesis for quantitative research, a declarative hypothesis states the expected relation between variables, whereas a null hypothesis states that there is no significant relation.
What is the null hypothesis of a one way ANOVA What is the alternate hypothesis?
When writing hypotheses the null hypothesis is generally the hypothesis stating that there will be no significant difference between the variables you are testing. An alternate hypothesis would be a hypothesis suggesting that the results will be anything other than not significant. For example if you were testing three concentrations (low, medium, and high) of a type of medication on cancer cells, then one example of an alternate hypothesis would be that the medium concentration would decrease the number of viable cancer cells.
What is a summary that explains whether the data support the hypothesis?
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
Which hypothesis states that no difference exists due to the variable under investigation?
The null hypothesis states that there is no significant difference or effect due to the variable under investigation. Researchers aim to reject the null hypothesis in favor of an alternative hypothesis that suggests a difference or effect exists.
Differences between null and alternative hypothesis?
The difference between the null hypothesis and the alternative hypothesis are on the sense of the tests. In statistical inference, the null hypothesis should be in a positive sense such in a sense, you are testing a hypothesis you are probably sure of. In other words, the null hypothesis must be the hypothesis you are almost sure of. Just an important note, that when you are doing a tests, you are testing if a certain event probably occurs at certain level of significance. The alternative hypothesis is the opposite one.
What are the critical z-values for a two-tailed hypothesis test if the significant level 0.01?
+2.58
Example of alternative hypothesis?
5. The manufacturer of a spot remover claims that his product removes 90 percent of all spots. In a random sample, the spot remover removes 11 of 16 stains. Write the null and alternative hypotheses.
What forms the basis of your decision to conclude that a numerical value of a variable you have calculated is significant or not significant at the 0.1 percent or 0.5 level in a regression analysis?
You start of with a null hypothesis according to which the variable has some specified distribution. Some of the parameters of this distribution may need to be estimated using the observed data. Against this hypothesis you will have an alternative hypothesis about the distribution of the variable. You then assume that the null hypothesis is true and calculate the probability that the variable (or a test statistic based on that variable) has the observed numerical value or one that is more extreme. (In deciding what is more extreme you need to know the alternative hypothesis.) If that probability is less than 0.1 % then the result is significant at 0.1% - and so on.
What makes a hypothesis become a theory?
A hypothesis is used to make predictions. Experiments are carried out to test these predictions. If the outcome of the experiment was not as predicted then the hypothesis is falsified. It is either rejected or modified. If the outcome of the experiment confirms the prediction then that provides some evidence that the hypothesis is true.Over time, after testing different predictions, there will be a significant amount of evidence in favour of the hypothesis, and all the main alternatives have been rejected. At that stage the hypothesis becomes a theory.
