0
What else can I help you with?
Does the Null hypothesis always include an equality?
Yes; the null hypothesis, H0, always includes an equality. The alternative hypothesis, H1, is >, <, or does not equal.
What is null hypothesis in shorthand?
H0: μ = 6
What is the symbol for research hypothesis?
symbol for research hypothesis are written in two ways . Ha or H1 . both meant to address research hypothesis.
How do you Set up a nonparametric test using the six-step hypothesis testing procedure?
To set up a nonparametric test using the six-step hypothesis testing procedure, start by stating the null hypothesis (H0) and the alternative hypothesis (H1). Next, select the appropriate nonparametric test based on the data type and research question, such as the Mann-Whitney U test or the Kruskal-Wallis test. Then, determine the significance level (alpha), typically set at 0.05. Collect the data, perform the test to calculate the test statistic, and finally, compare the p-value to the significance level to make a decision about the null hypothesis.
Express the null hypothesis H0 and the alternative hypothesis H1 in symbolic form Use the correct symbol p for the indicated parameter.For a researcher claims that 62 of voters favor gun control?
== == A random sample of 15 observations from the first population revealed a sample mean of 350 and a sample standard deviation of 12. A random sample of 17 observations from the second population revealed a sample mean of 342 and a sample standard deviation of 15. At the .10 significance level, is there a difference in the population means? ***Please show all the steps and work you used to conclude an answer and explain it as you would to a simpleton. Thank you so much. Read more: http://www.justanswer.com/questions/h0ee-null-hypothesis-h0-u1-u2alternate#ixzz0N7q0A7Ns
What is meant by null hypothesis rejected?
It tells us that H1,H0 (alternative )hypothesis is selected
Does the Null hypothesis always include an equality?
Yes; the null hypothesis, H0, always includes an equality. The alternative hypothesis, H1, is >, <, or does not equal.
How would the null and alternative hypotheses be stated for the chi-square independence test?
In a chi-square independence test, the null hypothesis (H0) states that there is no association between the two categorical variables being examined; they are independent of each other. The alternative hypothesis (H1) posits that there is an association between the variables; they are dependent. For example, if studying the relationship between gender and voting preference, H0 would assert that gender and voting preference are independent, while H1 would argue that they are related.
How many types of errors in taking a decision about Ho?
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.
What is the p-value for the following hypothesis test. H0 M equals 23 H1 M not 23 n equals 50 x-bar equals 21.25 standard deviation equals 5?
okay wikianswers messed up the question. H0: M=23; H1: M not 23; n=50; x-bar = 21.25; standard deviation = 5. please help!
What is null hypothesis in shorthand?
H0: μ = 6
What is hypothesis of difference?
The alternativehypothesis (Ha or H1) describes the population parameters that the sample data represent, if the predicted relationship exists. It is always the hypothesis of difference. That is as opposed to the null hypothesis (H0) that describes the population parameters that the sample data represent if the predicted relationship does not exist. See Basic Statistics of the Behavioral Sciences by Heiman.
What is statistical test of hypothesis?
A statistical hypothesis test will usually be performed by inductively comparing results of experiments or observations. The number or amount of comparisons will generally dictate the statistical test to use. The researcher is basically making a statement and assuming that it is either correct (the hypothesis - H1) or assuming that it is incorrect (the null hypothesis - H0) and testing that assumption within a predetermined significance level - the alpha.
What is the status quo?
- Status quo- what is commonly believed or accepted- Status quo- is always represented by Ho (null hypothesis)Ex. Should we introduce a new product/service? Status quo: not introduce itEx. Should we stop engaging in a marketing action? Status quo: keep goingNull hypothesisInterpretation of statistical information can often involve the development of a null-hypothesis in that the assumption is that whatever is proposed as a cause has no effect on the variable being measured.The best illustration for a novice is the predicament encountered by a jury trial. The null hypothesis, H0, asserts that the defendant is innocent, whereas the alternative hypothesis, H1, asserts that the defendant is guilty. The indictment comes because of suspicion of the guilt. The H0 (status quo) stands in opposition to H1 and is maintained unless H1 is supported by evidence "beyond a reasonable doubt". However,"failure to reject H0" in this case does not imply innocence, but merely that the evidence was insufficient to convict. So the jury does not necessarily accept H0 but fails to reject H0. While one can not "prove" a null hypothesis one can test how close it is to being true with a, which tests for type II errorsRead more: statistics
When to apply two tailed test in testing hypothesis?
When the alternative hypothesis is non-directional, we use a two-tailed test. Example: H0: mean = 50 Ha : mean not equal to 50 Here is a directional hypothesis that would use a one-tailed test. H0: mean = 40 Ha : mean > 40 or H0: mean = 40 Ha: mean < 40
What is the symbol for alternative hypothesis?
Either H1 or Ha.
How is H1 hypothesis rejected?
H1 hypothesis is rejected when the p-value associated with the test statistic is less than the significance level (usually 0.05) chosen for the hypothesis test. This indicates that the data provides enough evidence to reject the alternative hypothesis in favor of the null hypothesis.
