Chi-Square Tests Value HP df Asymptotic Significance (2-sided) Pearson Chi- Square 46.157a 8 000 Likelihood 48.412 8 000 Ratio Linear-by- 10.271 1 001 Linear Association N of Valid Cases 1306 a. 2 cells (11.1%) have expected count less than 5. The minimum expected count is 2.26. The above table looks at the association between death from gun violence and education status. Based on the results, which of the following statements is correct: There is a significant association between the two variables There is not a significant association between the two variables The chi-square variable cannot be interpreted High education is associated with more gun deaths

0.6.3 Question 3 Is the cubic effect significant? How about quadratic and linear effects?   Analysis of Variance Table   Response: EX           Df Sum Sq Mean Sq F value    Pr(>F)    MET        1    332     332  0.1246 0.7257742    I(MET^2)   1  37504   37504 14.0572 0.0005141 *** I(MET^3)   1   7245    7245  2.7154 0.1065086    Residuals 44 117390    2668       > anova(quadModel) Analysis of Variance Table Response: EX Df Sum Sq Mean Sq F value Pr(>F) MET 1 332 332 0.120 0.7306134 I(MET^2) 1 37504 37504 13.541 0.0006216 *** Residuals 45 124635 2770 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Initial data from a sample of 100 people suggests that stress increases blood pressure (a positive correlation is observed). What is the null hypothesis?

random sample of 27 pairs of observations from a normal population gives a correlation coefficient of 0.42. Is it likely that the variables in the population are uncorrelated?

Which combination would lead you to Fail to Reject H0? ANOVA:                  Fobt = 3.61      Fcrit = 2.55 2-tailed t-test:       tobt = 2.36      tcrit = 1.89 Correlation:           robt = 0.68      rcrit = 0.64 Chi-Square GOF:   χ2obt = 3.24    χ2crit = 4.25

widely used as dielectrics and coolants in electrical systems in the past. They were found to be a major environmental contaminant in the 1960s. In a study, the mean PCB content at each of thirteen sites was reported for the years 1982 and 1996 (from “The ratio of DDE to PCB concentrations in Great Lakes herring gull eggs and its use in interpreting contaminants data”, Journal of Great Lakes Research 24 (1): 12-31, 1998). The data are below.Site:12345678910111213198261.4864.4745.5059.7058.8175.9671.5738.0630.5139.7029.7866.8963.93199613.9918.2611.2810.0221.0017.3628.207.3012.809.4112.6316.8322.74(a) Which test would be more appropriate in this case: a t-test for the difference between two population means, or a paired t-test? Why?(b) Do the data provide sufficient evidence to support the claim that the mean PCB level has decreased in the region? Be sure to check all assumptions, write the null and alternative hypotheses, calculate the appropriate test statistic, calculate the p-value,…

Poly(3-hydroxybutyrate) (PHB), a semicrystalline polymer that is fully biodegradable and biocompatible, is obtained from renewable resources. From a sustainability perspective, PHB offers many attractive properties though it is more expensive to produce than standard plastics. The accompanying data on melting point (°C) for each of 12 specimens of the polymer using a differential scanning calorimeter appeared in an article. (b) the sample variance s2 from the definition [Hint: First subtract 180 from each observation.]     (c) the sample standard deviation   (d) s2 using the shortcut method

What is the kurtosis for a distribution with a mean of 12.00 and a mode of 12.00?

The lowest level of significance to reject the null hypothesis of no linear association between blood pressure and age is: OA: 0.003 OB: 0.05 OC: 0.0002 OD: 0.0001 OE: 0.04

How large a sample is needed for a correlation of r = 0.54 to be significant using a two-tailed test with α = .05?​