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On average what value is expected for the t statistic when the null hypothesis is true?
When the null hypothesis is true, the expected value for the t statistic is 0. This is because the t statistic is calculated as the difference between the sample mean and the hypothesized population mean, divided by the standard error, and when the null hypothesis is true, these values should be equal, resulting in a t statistic of 0.
What are universal hypotheses?
Universal hypotheses are general statements or predictions that are widely applicable across different contexts or situations. These hypotheses aim to describe a broad pattern or relationship that is believed to hold true in a variety of scenarios. They are often used in scientific research to make predictions that can be tested and verified.
Which type of scientific statement is defined as a hypothesis or group of hypotheses that can be accepted as true based on repeated experimentation with similar results?
A scientific statement defined as a hypothesis or group of hypotheses accepted as true based on repeated experimentation with consistent results is called a "theory." Theories are well-substantiated explanations of aspects of the natural world and are supported by a substantial body of evidence. Unlike hypotheses, which are preliminary and testable predictions, theories provide a comprehensive framework for understanding a particular phenomenon.
How is null hypothesis tested?
A null hypothesis states that there is no relationship between two or more variables being studied. The assumption in science is that the null hypothesis is true until sufficient evidence emerges, though statistical testing, to reject the null and support an alternative hypothesis. The exact statistical test depends on the number and type of variables being tested, but all statistical hypothesis tests result in a probability value (p). Generally, the null is rejected when p < .05 representing less than a 5% chance that the relationship between the variables is due to error. This cutoff - called alpha - can be set lower in certain fields or studies, but rarely is set higher.
What does it mean when the null hypothesis is rejected?
When the null hypothesis is rejected, it suggests that there is sufficient evidence to conclude that an effect or difference exists in the data being analyzed. This means that the observed results are unlikely to have occurred by random chance alone, implying that the alternative hypothesis may be true. However, it does not prove the alternative hypothesis; it simply indicates that the null hypothesis is not a plausible explanation for the observed data.
The following statements are true about hypotheses and theories except?
Hypotheses and theories are proven to be true.
Does failing to reject null mean null is true?
NO!
If null is compared with null what is the result-true or false or null or unknown?
You mean SQL? NULL = anything IS NULL NULL <> anything IS NULL ... NULL IS NULL = TRUE NULL IS NOT NULL = FALSE
How do you perform a Statistical Hypothesis Testing?
To start with you select your hypothesis and its opposite: the null and alternative hypotheses. You select a confidence level (alpha %), which is the probability that your testing procedure rejects the null hypothesis when, if fact, it is true.Next you select a test statistic and calculate its probability distribution under the two hypotheses. You then find the possible values of the test statistic which, if the null hypothesis were true, would only occur alpha % of the times. This is called the critical region.Carry out the trial and collect data. Calculate the value of the test statistic. If it lies in the critical region then you reject the null hypothesis and go with the alternative hypothesis. If the test statistic does not lie in the critical region then you have no evidence to reject the null hypothesis.
Is it true that federal and state cases start in different courts?
it is very true.
Can the alternative hypotheses be true and false?
Yes, the alternative hypothesis can be either true or false, depending on the context of the study or experiment. In hypothesis testing, the alternative hypothesis represents a statement that contradicts the null hypothesis; thus, only one can be true at a given time. If the alternative hypothesis is true, it suggests that there is a significant effect or difference, while if it is false, it indicates that the null hypothesis holds true. Ultimately, statistical tests aim to gather evidence to support one hypothesis over the other.
Is it true or false that the national government can enter a state to restore order in cases of national violence?
this is true
P-value if the null hypothesis is true?
0.5
If the null hypothesis is true and the researchers do not reject it then a correct decision has been made?
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
If we reject the null hypothesis what can we conclude about the alpha risk?
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
A NULL value is treated as a blank or 0 1.true 2.false?
true
Is it true that a hypotheses about historical singular events are not testable by the scientific method because they are not repeatable?
True
