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[DOC File]1
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1. A significance test gives you a P-value of .04. From this we can (a) Reject at 1% significance level (b) Reject at 5% significance level (c) Say that the probability that is false is .04 (d) Say that the probability that is true is .04 (e) Say the results are significant at the 1% level. 2.
10% level of significance value

[DOC File]AP Statistics Chapter 2 Test
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Feb 07, 2012 · Thus the P-value (or observed level of significance) of the test is approximately equal to: 0.90 0.40 0.05 0.20 0.10 9. A significance test allows you to reject a hypothesis H0 in favor of an alternative Ha at the 5% level of significance.
t test level of significance

[DOC File]Test 11A - Kenwood Academy High School
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The p-value represents the probability of observing a sample outcome more contradictory to H0 than the observed sample result. The smaller the p-value, the stronger the evidence is against the null hypothesis. To draw conclusions using p-value, you compare the p-value with and draw your conclusions using the following rule. If the p-value ...
if p value is greater than significance

[DOC File]2-sample t-test
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Use the given sample data to find the P-value for the significance test. Give an . interpretation of the P-value. n1 = 200, = 0.10, n2 = 200, = 0.08. A) P-value = 0.2119; If there is no difference in the proportions, there is about a 21.19% chance of seeing the observed difference or larger by natural sampling variation.
10% level of significance example

[DOC File]Name:___________________________________
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The p-value is less than 0.01, so we can reject the null hypothesis at the 5% significance level, and also at the 1% significance level. (c) The t-statistic is. The p-value for the test vs. is. p-value = The p-value is larger than 0.10, so we cannot reject the null hypothesis at the 10%, 5% or 1% significance level.
statistical significance p value

[DOC File]Hypothesis Test for a Population Mean
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With the p-value 0.006 and the significance level 0.01, we conclude that customers who use the Q-Mart card charge, on average, more than those who use another charge card, i.e., Reject H0 at = 1%. Notice that the reported t-statistic 2.925 means that the difference in the two sample means is 2.925 standard deviations above the hypothesized ...
p value statistics

[DOC File]STAT 515 -- Chapter 8: Hypothesis Tests
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vs. (lower-tail test) (upper-tail test) (two-sided test) Significance level. Test statistic. With df = P-value = if . if = if . Conclusion: Reject if p-value , and draw conclusion according to Otherwise do not reject , and draw conclusion according to Ex2. Mary can take either a scenic route to work or a non-scenic route.
non significant p value

[DOC File]Answer Key : Practice Final Examination
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A journal article reported that the null hypothesis of (=100 for the two tailed test was rejected because the P-value was less than the significance level of 0.01. For that normally distributed random sample, the sample mean was 103.6 and the sample size was 62.
p value level of significance

What is the difference between the P value and the level ...
The P-value (or “observed significance level”) of a test is the probability of observing as extreme (or more extreme) of a value of the test statistic than we did observe, if H0 was in fact true. The P-value gives us an indication of the strength of evidence against H0 (and for Ha) in the sample.
10% level of significance value

P value vs significance level