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- FACTORIAL ANOVA Calculate eta-squared, which is included in APA format AND Tukey's HSD (keep in mind you'll be looking at cells if there is significant interaction; if there is statistical significance but NO interaction you will looking at main effects of factor A or B or both A and B). In the write-up report ALL 3 F's in APA format. However, if there is interaction, focus there b/c interaction means you can't talk about one factor without also talking about the levels of the second factor. Don't forget to use eta squared so F(df,df)=Fcalculated, p < or >alpha level, eta squared End the APA statement with a recommendation that allows a layperson reading to know the study outcome. Two factors will be used, A has 3 levels and B has 2 levels. Thus we have a 3x2 design. The dependent variable is how many times they experienced symptoms associated with their disorder. These are self-report measures that participants have been keeping in a daily journal throughout the course…3/1.11 с Medical Servi X webassign.net/web/Student/Assignment-Responses/submit?dep=31111739&tags=autosave#question4695963_4 X WA 1.9/1.11 - X C The median w X Need Help? Read It 5 Points] DETAILS PREVIOUS ANSWERS CUSTOMLCALCCON5 1.9.501.XP. The per capita consumption of commercially produced fresh vegetables in a certain country from 1980 through 2000 was as shown in the accompanying table. Per capita consumption of fresh vegetables in a certain country Year 1980 1985 1990 ages.zip 1995 2000 Vegetable consumption, V (pounds per person) 152.1 153 164.1 177.1 203.7 iRoar Portal X x (b) Do you believe that the equation in part (a) is a good fit? O The model does not appear to be a good fit. The model appears to be a good fit. O This cannot be determined. Read It View Registra X (d) According to the unrounded model, in what year will consumption exceed 250 pounds per person? 2008 Need Help? My Home pounds per person is [per capita consumption of fresh vegetables ✔✔✔ in a country, given t…What is the minimum information that you need to calculate an n^2 effect size from a reported independent samples t test? a. s_(1 )^2, s_2^2 and n_1, n_2b. t and dfc. The M_1 - M_2 value and s_pd. None of the above My answer: B Professor wrote please explain your answer?
- Stock Y has a beta of 1.2 and an expected return of 11.4%. Stock Z has a beta of 0.80 and an expected return of 8.06%. If the risk-free |%, respectively. (Do not round intermediate rate is 2.5% and the market risk premium is 7.2%, the reward-to-risk ratios for stocks Y and Z are and Stock Z is overvalued |and Since the SML reward-to-risk is calculations. Round the final answers to 2 decimal places.) 1%, Stock Y is undervaluedAn agriculture company wants to determine if a new fertilizer has a significant effect on crop yields. The null hypothesis is that the fertilizer has no effect on crop yields, meaning that the average yield with the fertilizer is equal to the average yield without the fertilizer. The company conducts an ANOVA test and obtains an F-statistic of 3.2 and a numerator degrees of freedom of 3 and denominator degrees of freedom of 20. What is the p-value of the hypothesis test?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
- Serum nitrite concentrations (in μmol/L) were compared between a group of unmedicated HIV+ subjects (n =7) and a control group (n = 10). The HIV+ distribution is strongly skewed.a) Use a Wilcoxon-Mann-Whitney U test to determine if there is convincing evidence at α = 0.05 thatserum nitrite levels differ between the two populations. b) What would have been the U test p-value if researchers had instead hypothesized that serum nitriteconcentrations would tend to be larger in the HIV+ population? HIV+ Control 0.266 0.167 0.269 0.201 0.299 0.205 0.335 0.232 0.503 0.234 0.846 0.260 0.946 0.268 0.288 0.301 0.305A study is being done to test whether a specific fuel additive increases gas mileage ina particular model of pickup truck. Without the additive, these trucks average 19.2miles per gallon at highway speed. Repeating these tests has revelated that the gasmileage of these trucks at highway speed are Normally distributed, with a standarddeviation of 1.0 miles per gallon. Nine trucks were ran at highway speed with the fueladditive and their gas mileages were recorded. The average gas mileage of these ninetrucks was 19.8. Conduct the first three steps of a test of significance in determiningif this fuel additive has the desired effect. (c)Compute the P-value for this test. PleaseThe diameter of steel rods manufactured on two different machines is being investigated. Suppose that the diameter of a rod is normally distributed, despite which machine is used to make the rod. Independent samples of n1=15 rods (from the first machine) and n2=17 rods (from the second machine) are randomly selected. The sample mean and sample variance of the first sample (of 15 rods) are xbar1=8.73, s1^2=0.34, respectively. The sample mean and sample variance of the second sample (of 17 rods) are xbar2=8.68 and s2^2=0.39, respectively. Based on these two samples, one can be 95% confident that that ratio of the two population variances, sigma1^2/sigma2^2 (i.e., the population variance of diameter of steel rods manufactured on the first machine over that on the second machine). Based on the data from these two independent random samples that we assume to arise from two normal populations, we would like to test the null hypothesis that the two population variances are the same versus the…
- The health of the bear population in Yellowstone National Park is monitored by periodic measurements taken from anesthetized bears. A sample of 54 bears has a mean weight of 178.9 lb. Assume that o is known to be 110 lb. (a) Use a 0.05 significance level to test the claim that the population mean of all such bear weights is greater than 150 lb. Use the usual critical-value method to perform this test. (b) Find the P-value for this test and explain how the P-value would lead you to the same conclusion that your rejection region method did. (Note that you don't have to re-do the whole test, but show your work for finding the P-value.)find a 95% confidence interval for each pair difference. Recall that a confidence interval for μi−μj can be constructed as follows. ( ̄xi− ̄xj)±t∗√MSE(1ni+1nj) TheMSE is the mean square error from the ANOVA table. The t^* is from the t-distribution with n−k degrees of freedom, where n is the total sample size and k the number of groups. Between Low and Medium levels of calcium. Between Low and High levels of calcium. Between Medium and High levels of calcium. Calcium GillRate Low 55 Low 63 Low 78 Low 85 Low 65 Low 98 Low 68 Low 84 Low 44 Low 87 Low 48 Low 86 Low 93 Low 64 Low 83 Low 79 Low 85 Low 65 Low 88 Low 47 Low 68 Low 86 Low 57 Low 53 Low 58 Low 47 Low 62 Low 64 Low 50 Low 45 Medium 38 Medium 42 Medium 63 Medium 46 Medium 55 Medium 63 Medium 36 Medium 58 Medium 73 Medium 69 Medium 55 Medium 68 Medium 63 Medium 73 Medium 45 Medium 79 Medium 41 Medium 83 Medium 60 Medium 48…We wish to test the null hypothesis that the proportion of cancer deaths among people exposed to radioactive fallout in Utah in 1955 is equal to 0.15 versus the alternative hypothesis that the proportion differs from 0.15 using alpha = 0.05. What is the region of rejection for this test for sample of size 20? Reject Ho if y in { LISTY VALUES HERE }
