An explanatory hypothesis is a proposed explanation for a phenomenon or a set of observed facts, aiming to clarify the underlying mechanisms or reasons. It serves as a testable statement that can be investigated through research or experimentation. By providing a framework for understanding relationships between variables, it helps guide scientific inquiry and supports the development of theories. Ultimately, it seeks to enhance comprehension of complex issues by offering insights into causation and effects.
The importance of a hypothesis is measured by its explanatory power. If you have a valid explanation for some previously mysterious or unknown phenomenon, and if your explanation can be experimentally verified, then that is important.
An explanatory hypothesis is a specific type of hypothesis that seeks to explain the relationship between variables in a study. It proposes a potential cause-and-effect scenario, providing a rationale for why one variable may influence another. This type of hypothesis is often tested through research and experimentation to validate or refute the proposed explanations. Essentially, it aims to deepen understanding of observed phenomena by outlining mechanisms or processes at play.
To accurately determine which of Janice's observations is explained by Hypothesis I but not by Hypothesis II, we would need specific details about the hypotheses and the observations. Without that context, it's impossible to pinpoint the unique explanatory power of Hypothesis I over Hypothesis II. Please provide more information about the hypotheses and observations for a precise answer.
A hypothesis is an educated guess.
"What does hypothesis mean?" "What is your hypothesis on the John F. Kennedy assassination?" "Can you come up with a hypothesis for how life is on Earth?"
The importance of a hypothesis is measured by its explanatory power. If you have a valid explanation for some previously mysterious or unknown phenomenon, and if your explanation can be experimentally verified, then that is important.
An explanatory hypothesis is a specific type of hypothesis that seeks to explain the relationship between variables in a study. It proposes a potential cause-and-effect scenario, providing a rationale for why one variable may influence another. This type of hypothesis is often tested through research and experimentation to validate or refute the proposed explanations. Essentially, it aims to deepen understanding of observed phenomena by outlining mechanisms or processes at play.
R- restate the hypothesis, A- address the hypothesis, P-provide high and low data. Then P-provide explanatory data, I-Improvments, and N-New question.
think you might mean explanatory which means intending or serving to explain
To accurately determine which of Janice's observations is explained by Hypothesis I but not by Hypothesis II, we would need specific details about the hypotheses and the observations. Without that context, it's impossible to pinpoint the unique explanatory power of Hypothesis I over Hypothesis II. Please provide more information about the hypotheses and observations for a precise answer.
A critical or explanatory note; a commentary.
Yes, Research can be undertaken without framing a hypothesis. The justification is in case of explanatory research, where the aim of your research is not to prove or disprove something, but to undertake an in depth study and go on exploring the investigation !!!!
alternitive hypothesis
This means the data supported the hypothesis.
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
It is self explanatory. It means being less .
HYPOTHESIS: a hypothesis is what you think will happen. You should try starting it off with my hypothesis is... next it will.... then it will... finally it will...