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What else can I help you with?
When a hypothesis is supported by many different experiments it is considered a?
The explanation supported by many experiments is called scientific theory.
Explain type one error in the null hypothesis?
See link. My answer goes a bit beyond your question. If the null hypothesis is right (which is our initial assumption is correct), then we should of course accept it. If our data has convinced us to reject the null hypotheis, that is in actuality correct, we have committed a type 1 error. This is a valid definition both in life situation and in statistical hypothesis testing. It is the a question of how much data do you need to convince you to change an opinion (a prior assumption). Type 1 errors are committed when people jump to conclusions based on little data. In situations where it is better to be extra cautious, such as a smoke detector goes off, that we need little data to change our initial opinion (building not on fire), because the harm in a type 1 error is far outweighed by the good if the alternative hypothesis is true (building on fire!). So fire alarm goes off and we leave the building. Type 2 errors is when you need a lot of convincing before you change your opinion, or you fail to reject the null hypothesis (building not on fire) when it is false (alternative hypothesis, building on fire). In the fire, you don't leave until you see more data, ie. flames. Big mistake if there's no time left to leave. The swine flu epidemic offers an excellent example where type 1 errors (false positives) are much preferred over type 2 errors (false negatives). Are Type 2 error consequences worse? No. Suppose you are on trial. You would hope that the jurors would minimize type 1 error as they are suppose to do, at the risk of committing a type 2 error (free a guilty man).
What are the differences between scientific hypotheses scientific theories and scientific laws.?
A hypothesis or a theory is a question or problem posed and is answered or attempted to be answered by a scientific method of experimentation. A theory is a tested and accepted principle or proposition i.e. quantum theory, Occam's Razor, Newton's law of gravity. A law is a theory that withstands the test of time.
The big bang hypotheis explains the possible origin of the?
universe
Darwin's hypotheis about how life changes over time is now called the?
Evolution
How the evidence from a data table supports a hypothesis?
The evidence from a data table supports a hypotheis is i dont know.
What punctuation come at the end of hypotheis?
A period (.) is typically used at the end of a hypothesis to denote the end of the sentence.
What is the hypotheis for does an ice cube melt faster in water or air?
what will ice cube hypothesis be?
When a hypothesis is supported by many different experiments it is considered a?
The explanation supported by many experiments is called scientific theory.
How long is a middle school abstract?
Use one or two sentences to describe each aspect of the scientific process: Purpose, hypotheis, procedure, results, analysis, conclusion. So a total of 6 to 12 sentences.
Is there a world ending?
I am uncertain as to your question, but I believe you are asking about the end to our world. There's some speculation that our sun has a finite lifetime and this will lead to an end to our solar system. But it is only a hypotheis and more than a billion years from now. See related link.
What are two types of climate clues that support the continental drift hypotheis?
Fossil evidence of plants and animals that were once distributed across continents and matching geological formations such as mountain ranges or rock layers on different continents provide clues supporting the continental drift hypothesis. Additionally, evidence of past climates, such as ancient glacial deposits in regions that are now far from the poles, further support the idea of continental drift.
.01 criterion of significance what is the percent type you error?
I believe you are asking about hypothesis testing, where we choose an alpha value, (also called a signifance level). Thus, I will rephrase your question as follows: If I choose an alpha value of 0.01, what percent of time do you expect the come to an erroneous conclusion, that is test statistic to fall out of the critical region yet the null hypothesis is true? The answer is 1% of the time, an incorrect rejection of the null hypotheis, which is a type I error.
What is the hypotheis of what are the most common sums of two dice rolled?
The hypothesis regarding the most common sums of two six-sided dice rolled is that the sum of 7 is the most frequent outcome. This is due to the number of combinations that can produce this sum—specifically, there are six combinations (1+6, 2+5, 3+4, 4+3, 5+2, 6+1) that result in a total of 7. As the sums move away from 7, the number of combinations decreases, making sums like 2 and 12 the least common outcomes.
What is meant by the term Statistically Significant Difference If it is statistically significant does that automatically mean it is managerially significant?
You make assumptions about the nature of the distribution for a set of observations and determine a pair of competing hypotheses - a null hypotheis and an alternative. Based on the null hypothesis you devise a test for a statistic that is based on the observations. Assuming the null hypothesis is true, if the probability of observing a test statistic that is at least as extreme as the one obtained is smaller than some pre-determined level (that is, if the observations are very unlikely under the null hypothesis) then the result is said to be statistically significant. This does not automatically imply managerial significance since, among other factors, the latter must take account of the consequences (costs) of making the wrong decision.
