Test stat 2552 very extremely significant systolic bp

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Test Stat = 25.52 (very extremely significant). Systolic BP was 25.52 standard errors above diastolic. Pvalue < 0.0001 (zero) (Very unlikely to happen by random chance) Sentence: If Ho is true, we had less than 0.0001 chance of getting the sample data or more extreme. Reject Ho.
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Conclusion: There is significant sample evidence to support the claim that systolic BP is higher than diastolic BP. 4. The sample data was randomly collected. The sample sizes were both over 30 or bell shaped. The data sets are independent since a cholesterol level for a man and a woman are not related. Data does meet the assumptions to do a 2 mean test. Pop 1 : Cholesterol for Women Pop 2: Cholesterol for Men 0: 1 2 : 1 2( ) H HA claim The test statistic was t = -2.817. This tells us that the average cholesterol for the women was 2.817 standard errors below the average cholesterol for men. (This looks significant.) The Pvalue was 0.0064. (Highly unlikely that this happened by random chance.) Sentence: If cholesterol of men and women are the same, then there was only a 0.0064 chance of getting the sample data or more extreme. So Pvalue < sig level 0.05. Reject H0. Conclusion: There is significant sample evidence to support the claim that the cholesterol levels of men and women are different. Hyp Test Act 12 Answers 1. P1: percent of teen pregnancy 2012 (u.s.a.) P2: percent of teen pregnancy 2008 (u.s.a.) 1 2 1 2 : p p : p p Ho Ha claim Assumptions: Data was random. 2008 data had at least 10 success and at least 10 failures. 2012 data had at least 10 success and at least 10 failures. Passes all the assumptions. Test stat = 0.21 pregnancy rate in 2012 data was only 0.2 standard errors above preg rate in 2008. (Not significant close) P-value = 0.4168 If the Ho is true, then there was a 41.7% chance of getting the sample data or more extreme. (could of happened by random chance)
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Fail to reject Ho Conclusion: There is not significant sample evidence to support the claim that 2012 has a higher teen pregnancy rate than 2008. 2. P1: marijuana users P2: non-marijuana users 1 2 1 2 : p p : p p Ho Ha claim Right Tailed Test Assumptions: Data was random, At least 10 success and failures in marijuana group. At least 10 success and failures in non marijuana group. Test Stat = 6.85 Sentence: Group 1 are 6.85 standard errors above Group 2. (Very Significant) Pvalue < 0.0001 Sentence: If Ho is true, then there was less than 0.0001 chance of getting the sample data or more extreme. (Probably did not happen by random chance) Pvalue < sig level (0.05) Reject Ho. Conclusion: There is significant sample evidence to support the claim that marjijuana users use other drugs a lot more than non-marijuana users, i.e. gateway drug 8. P1: percent of female math 140 students P2: percent of male math 140 students 1 2 1 2 : p p : p p Ho Ha claim
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Assumptions: Not random, but it was a census (better than random). At least 10 success and failures for both groups (females and males). Passes assumptions Test Stat = 4.71 (significant) Group 1 (female) was 4.71 standard errors above Group 2 (males) P-value < 0.0001 (did not happen by random chance) Sentence: If Ho is true, then there was less than 0.0001 chance of getting the sample data
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