== 13.6 A multinomial experiment with k = 3 cells and n = 320 produced the data shown in the accompanying table. Do these data provide sufficient evidence to contradict the null hypothesis that p₁ = .25, P2 = .25, and pз = .50? Test, using a = .05. p3 Cell 1 2 3 ni 78 60 182
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- A two-way ANOVA experiment with interaction was conducted. Factor A had three levels (columns), factor B had five levels (rows), and six observations were obtained for each combination. Assume normality in the underlying populations. The results include the following sum of squares terms: SST=1542 SSA= 1042 SSB = 358 SSAB = 39 a. Construct an ANOVA table. (Round "MS" to 4 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Interaction Error Total SS 0 df Answer is not complete. 0 MS F p- value 0.000 0.000 0.002A farmer has two types of beans and wants to determine which produces a better bean of greater nutritional content. A geneticist was employed to do the investigation examining genotype with nutritional content. The results were as follows: Nutritional Content Genotype High Low bb 8 4 Bb 6 2 Perform a chi square to test the association between genotype and nutritional content. State the null and alternative hypotheses and determine at 95% level of accuracy. Which hypotheses would be accepted?of LO %24 2. Based on their records, a hospital claims that the proportion, p, of full-term babies born in the community that weigh more than 7 pounds is 36%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 180 babies born in the community, 46 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.01 level of significance? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H. H:p=0.36 H: pD -2.921 (d) Find the p-value. (Round to three or more decimal places.) (e) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 36%? OYes ONo tab 1. 3. 4. 9. 7. 8. 6. 0. opun %23 %3D i %3D ABC
- Looking at the above summary statistics from July 2020 for patients with confirmed Covid-19 in adult critical care, answer the following questions: What is the sample size for patients with confirmed COVID 19 were in Adult Critical Care beds in the sample hospital (Hammersmith Hospital) What is the sample size for All critical care units for Patients with confirmed COVID19 Give a brief explanation of SD Give a brief explanation of IQR How old were the patients in General Adult Critical Care with confirmed COVID19 one SD below the mean at Hammersmith Hospital How old were the patients in General Adult Critical Care with confirmed COVID19 on the 25th centile at Hammersmith Hospital Calculate .4.21. An industrial engineer is conducting an experiment on eye focus time. He is interested in the effect of the distance of the object from the eye on the focus time. Four different distances are of interest. He has five subjects available for the experiment. Because there may be differences among individu- als, he decides to conduct the experiment in a randomized block design. The data obtained follow. Analyze the data from this experiment (use a = 0.05) and draw appropriate conclusions. Distance (ft) 4 6 8 10 1 10 7 5 6 2 6 6 3 4 Subject 3 6 3 4 4 6 122 5 6653 2 3 (a) What is the response? What are the factors? How many levels of each factor are used? How many replicates were used? (b) Perform an ANOVA analysis. (c) Prepare appropriate residual plots and comment on the model's adequacy.How many subjects participated in an independent-samples t-test if a researcher reports,t (20) = 3.68, alpha = .05, two-tail?
- A two-way ANOVA experiment with no interaction is conducted. Factor A has four levels (columns) and Factor B has eight levels (rows). Assume normality in the underlying populations. The results include the following sum of squares terms: SST=367.5 SSA = 207.0 SSE = 52.4 a. Construct an ANOVA table. (Round "SS" and "MS" to 2 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Error Total SS X Answer is complete but not entirely correct. 207.00 X 108.10 X 52.40 367.50 df 7 3 21 31 MS 29.57 X 36.03 X 2.50 F 11.850 X 14.412 X p- value 0.001 0.000According to a CCH Unscheduled Absence survey 9 of small According to a CCH Unscheduled Absence survey, 9% of small businesses use telecommuting of workers in an effort to reduce unscheduled absenteeism. This proportion compares to 6% for all businesses. Is there really a significant difference between small businesses and all businesses on this issue? Use these data and an alpha of .10 to test this question. Assume that there were 780 small businesses and 915 other businesses in this survey. According to a CCH Unscheduled Absence survey 9 of smallOne of the bartleby experts helped me with this homework problem. I am having trouble figuring out where -1.64 came from on part (b). Look at the images below. Statistically speaking, the typical romantic couple spends 3 hours of qualitytime together each day, with a variance of 1.5 hours. During my teenageyears, I was under the assumption that a friend and I were a couple, but sherecently pushed back on that claim. So, I logged our time spent together over aperiod of 92 days. As it turned out, we spent 2.65 hours together on a typicalday, again with a variance of 1.5 hours. Assuming that all of the time we spendtogether is “quality” and that relationship time spent is governed by the normaldistribution, do I have sufficient statistical evidence to claim that we were, infact, in a romantic relationship? (a) Find and interpret the z-score of our time spent together, specificallyreferencing what information the sign (positive/negative) of the z-scoretells us. (b) Conduct a…
- A researcher randomly assigns college freshmen to either of two experimental conditions. Because both groups consist of college freshmen, someone claims that it is appropriate to use a t test for the two related samples. Comments?The data is presented in parallel format. Before running the ANOVA in Excel, you will need to put it into serial (column) format. You will need to create a categorical variable for the first factor (days) and for the second factor (time of day). This is a critical step. The data presented shows exam scores for students randomly assigned to the sections meeting on these days at these times of the day: Thursday Friday Morning Afternoon Morning Afternoon 59.1 60.6 50.2 34.7 50.6 60.5 39 44 57.1 59 71.2 43.7 58.6 45.7 57.5 52.9 51.1 72.6 50 53.3 40.1 39.8 58.1 34.6 27.3 59.3 38.9 53.2 27.3 72.9 58.2 52.9 39.5 45.9 57.9 46.8 56.6 40 71 46.7 Conduct a 2-way ANOVA. First, find the group means for each level of the factors. (Report answers accurate to 2 decimal places.) Days: MThursday MFriday Time of day: Mmorning Mafternoon Report the results of the ANOVA for the main & interaction effects. (Report P-values accurate to 4 decimal places and F-ratios accurate to 3 decimal places.) Day: FA = p…What is the value of Fcrit for an experiment with k = 3, n1 = n2 = n3 = 10 subjects, and α = 0.01?

