If the p-value has to be between 1 and 0, how do we approximate the p-value?...

If the p-value has to be between 1 and 0, how do we approximate the p-value? For example, the p-value is 0.99999999777 when I use R, but if I put the same information into the Minitab, the p-value becomes 0. What is the rule for an approximation when it comes to the p-value? Is any p-value 0.9 and lower always going to be less than alpha=0.05?

Expert Solution

p value is the likelihood of the observed data, given that the null hypothesis is true. The p - value is,in future experiments, the probability of obtaining rsults as extreme or more extreme, given that the null hypothesis is true.

p value is just used in Hypothesis Testing decision rule as follows:

If p - value is greater than significance level , the difference is not significant. Fail to reject null hypothesis.

If p - value is less than significance level , the difference is significant. Reject null hypothesis.

Thus, the role of p - value is only comparison with .

So, in actual situation, we do not need p value to say 10 places of decimals. precision upto 4 places is quite sufficient because it is being compared with whose value is 0.10, 0.05 or 0.001 etc.

orchestra answered 3 years ago

How do we determine the test statistic and p-value? This is a general question, not pertaining...

How do we determine the test statistic and p-value? This is a general question, not pertaining to any specific statistical case. Please provide the equation to calculate the test statistic and p value.

5. the individual probabilities are all between 0 and 1 0 ≤ P (event) ≤ 1 ...

5. the individual probabilities are all between 0 and 1 0 ≤ P (event) ≤ 1 o Right or o Wrong 6. Expected opportunity loss (EOL) is the cost of not picking the best solution. o Right or o Wrong 7. Continuous Probability Distribution is A probability distribution with a continuous random variable. o Right or o Wrong 8. The Break-Even Point (BEP) is the price point at which the sales revenue...

how do you get p value

int value = 1; do { if (value % 2 == 0) cout << value <<...

int value = 1; do { if (value % 2 == 0) cout << value << " "; value = value + 1; } while (value % 7 != 0); cout << "\n" << value; What will be displayed?

For a binomial parameter, p, we would like to test H 0 : p 0 =...

For a binomial parameter, p, we would like to test H 0 : p 0 = 0.05 against H 1 : p 0 ≠ 0.05 at the 5% level of significance. Assume we have a sample of 200 trials. a. Is 200 large enough to use our large-sample test for p? Answer Yes or No and present your evidence as a series of inequalities. b. What test statistic would you use for the test? c. What sampling distribution would you...

1. P-value and confidence interval. A two-sided test of H0: μ = 0 yields a P-value...

1. P-value and confidence interval. A two-sided test of H0: μ = 0 yields a P-value of 0.03. Will the corresponding 95% confidence interval for μ include 0 in its midst? Will the 99% confidence interval for μ include 0? Explain your reasoning in each instance.

If p is any positive number between 0 and 1, then p4 + C(4,3) p3(1–p) +...

If p is any positive number between 0 and 1, then p4 + C(4,3) p3(1–p) + C(4,2) p2(1–p)2 + C(4,1) p (1–p)3 + (1–p)4 = 1. Explain why without performing any calculation. Please explain the concept behind this to me, and not just the chain of calculations or mathematical proofs.

Question

If the p-value has to be between 1 and 0, how do we approximate the p-value?...

Solutions

Expert Solution

Related Solutions