2. The following data were obtained from an independent-measures study comparing three treatment conditions. Treatment II 4 3 8. N = 12 1 G = 48 5 3 6. ΣΧ238 4 1 6. M = 4 M = 2 M = 6 T = 16 T = 8 T = 24 SS = 2 SS = 4 SS = 8 A) Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means.
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- Blood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.An experiment was conducted to determine the effect of machining factors on ceramicstrength. Two levels of table speed (slow and fast), two directions (longitudinal and transverse) and two levelsof wheel grit (I and II) were identified by the researcher. The experiment was replicated three times and thestrength of each randomly selected ceramic was obtained. The ANOVA table of the results of the analysis areas follows. 1. Refer to the ANOVA table at a=0.01, what is the conclusion for testing significance in 3-way interaction Reject/Fail to Reject Ho 2. If sequential test of hypothesis is performed the following are (True or False)? a. All 2-way interaction effects are going to be tested b. All main effects are going to be tested 3. What combination of effects will result to a significant result at a=0.01 if should all test are going to be performed among the main effects and two way interactions? (choose 1pair/combination: direction, wheel grit, speed)Unfortunately, arsenic occurs naturally in some ground water. A mean arsenic level of u = 8 parts per billion (ppb) is considered safe for agricultural use. A well in Los Banos is used to water cotton crops. This well is tested on a regular basis for arsenic. A random sample of 37 tests gave a sample mean of = 7.3ppb arsenic. It is known that o = 1.9 ppb for this type of data. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use the classical approach. Use a = 0.01 What is the Decision (step 5) for this problem? There is not sufficient evidence at the 0.01 level of significance to show the mean arsenic level in the Los Banos well is less than 7.3 ppb. O There is sufficient evidence at the 0.01 level of significance to show the mean arsenic level in the Los Banos well is less than 8.0 ppb. There is not sufficient evidence at the 0.01 level of significance to show the mean arsenic level in the Los Banos well is less than 8.0 ppb. O There is…
- It is desired to investigate the effect of A and B factors on crop yield. The data related to this experiment, which was carried out by selecting the agent levels, are given below. According to this, write the model equation and create the ANOVA table. Write down the hypotheses and interpret the result (a=0.05)In a test of the effectiveness of garlic for lowering cholesterol, 41 senior citizens were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes in their levels of LDL cholesterol (in mg/dL) have an average (mean) of 3.8. Identify the sample, the population, the sample statistic, and the population parameter in this study.One company produces premium grade carbon steel for Katana Sword manufacturers. Two different analytical methods were used to detect the contamination level of the carbon steel in 8 random specimensFrom the table provided, Is there sufficient evidence to conclude that tests differ in the mean contamination level use? α = 0.01?
- The yield of alfalfa from a random sample of six test plots is 1.4, 1.6, 0.9, 1.9, 2.2,and 1.2 tons per acre. Assume the data can be looked upon as a sample from anormal population. Test at the 0.05 level of significance whether this supports thecontention that the average yield for this kind of alfalfa is 1.5 tones per acre.The following data were obtained from an independent-measures study comparing three treatment conditions. Treatment 1 2 3 n=6 n=6 n=6 M=1 M=2 M=6 SS=60 SS=65 SS=40 N= 18 G= 54 Sum of squares X^2= 411 Conduct an ANOVA with to determine whether there are any significant differences among the three treatment means. (alpha=.05)Calculate the CV of an assay that gives results for the mean and SD of 5.0 and 0.5 mmol /L.
- The material of the plate on which our food is served might affect how much we eat (Williamson, Block, and Keller, 2016). Researchers gave 8 participant 2 donuts on paper plates and 8 participants 2 donuts on reusable plastic plates. They measured the grams of wasted food on each type of plate and analyzed the data using the SPSS printout below. Use Use α = .05 2tail to evaluate the statistic **Attached are the images** a. State the hypotheses b. Show how the t was calculated using the values from the SPSS printout. c. What is Cohen’s d? d. Show how the 95% confidence interval was calculated. e. State the conclusion in APA format.Unfortunately, arsenic occurs naturally in some ground water. A mean arsenic level of µ = 8 parts per billion (ppb) is considered safe for agricultural use. A well in Los Banos is used to water cotton crops. This well is tested on a regular basis for arsenic. A random sample of 37 tests gave a sample mean of = 7.3ppb arsenic. It is known that o = 1.9ppb for this type of data. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use the classical approach. Use a = 0.01 What is the calculation (step 4) for this problem? Z = -2.34 z = 2.34 z = 2.24 z = -2.24Is there a significant relationship between income and the level of work adjustment of the individual with hearing impairment? Use a=0.05 level of significance and n = 32. What is the alpha level of significance?