Using the students’ T test determine whether test agent causes significant inhibition of colony formation BE80706050302010control11050Concentration (nM)Figure 1.Sheet1Sheet2Average cell count EFbar chartconcentrationcontrolcount 1count 2count 3mean count standard deviation607565 66.66666677.637626158466050527.21110255110546248 54.66666677.0237691695017201818.33333331.5275252328.9.801011701260131.1450154016171820192010Sheet1Sheet2ReadyAccessibility: Investigate17°CMostly cloudyAverage cell countB.

Given the data as concentration count 1 count 2 count 3 mean count standard deviation control…

Answered: Using the students’ T test determine…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Cooling method for gas turbines. During periods of high electricity demand, especially during the hot summer months, the power output from a gas turbine engine can drop dramatically. One way to counter this drop in power is by cooling the inlet air to the gas turbine. An increas- ingly popular cooling method uses high-pressure inlet fogging. The performance of a sample of 67 gas turbines augmented with high-pressure inlet fogging was investi- gated in the Journal of Engineering for Gas Turbines and Power (January 2005). One measure of performance is heat rate (kilojoules per kilowatt per hour). Heat rates for the 67 gas turbines are listed in the table below. Suppose that stan- dard gas turbines have heat rates with a standard deviation of 1,500 kJ/kWh. Is there sufficient evidence to indicate that the heat rates of the augmented gas turbine engine are more variable than the heat rates of the standard gas turbine en- gine? Test using a = .05.
Question : Is there enough evidence to conclude that subordinates satisfaction is dependent to gender relationship at a significant level of 0,05? Show the steps of the hypothesis testing
A group of psychologists recently examined the how odor influences emotion between male and female. Three groups of participants (half male, half female) were first subjected to different types of smell (pleasant, neutral, and unpleasant), and then filled out questionnaire of happiness. The data present the pattern of results obtained in the study, higher score indicating a higher level of happiness. Conduct a hypothesis testing with α = .05 to evaluate the main effects and interactions (follow the four-step procedure).(15 points, be careful with the computation) Calculate the effect size (partial η2) for the main effects and the interaction. (2 points) Report your results in APA style (2 points) Odor pleasant neutral unpleasant Male n = 5 n = 5 n = 5 M = 5 M =10 M =15 SS = 10 SS = 10 SS = 10 Female n = 5 n = 5 n = 5 M =10 M =15 M =20 SS = 10 SS = 10 SS =10
27. Lower Limb Surgery. The study "Intrathecal Sufentanil ver- sus Fentanyl for Lower Limb Surgeries- A Randomized Controlled Trial" (Journal of Anaesthesiology Clinical Pharmacology, Vol. 27, Issue 1, pp. 67-73) by P. Motiani et al. compares two different agents, intrathecal sufentail and fentanyl, used in enhancing the anesthesiol- ogy of patients receiving major lower limb surgery. One variable com- pared between the two agents was the amount of blood loss during the surgery. Based on the study, we will assume that, using fentanyl, the amount of blood loss during major lower limb surgery is normally distributed with mean 283.3 ml and standard deviation 83.3 ml. Find the percentage of patients whose amount of blood loss during major lower limb surgery using fentanyl is a. less than 304 ml. b. between 221 and 429 ml. c. more than 450 ml.
Define the critical region for a hypothesis test, and explain how the critical region is related to the alpha level.
(a) Identify the claim and state H0 and Ha. (b) Use technology to find the critical value(s) and identify the rejection region(s). (c) Find the standardized test statistic, t. (d) Decide whether to reject or fail to reject the null hypothesis. (e) Interpret the decision in the context of the original claim.
A process engineer is trying to improve the life of a cutting tool. He has run a 2³ experiment using cutting speed (A), metal hardness (B), and cutting angle (C) as the factors. The data from two replicates are shown in Table 13E.2. (1) Calculate the main effects of A, B, C, and all interaction effects. (2) Do any of the three factors affect tool life? Make an ANOVA table and draw conclusion from the F-values with α = 0.05. (3) What combination of factor levels produces the longest tool life? ■ TABLE 13E.2 Data for the Experiment in Exercise 13.2. Replicate Run I II (1) 221 311 a 325 435 b 354 348 ab 552 472 с 440 453 སྣ་ ནྟི 406 377 bc 605 500 abc 392 419
Trans-Generational Effects of Diet Can experiences of parents affect future children? New studies16 suggest that they can: Early life experiences of parents appear to cause permanent changes in sperm and eggs. In one study, some male rats were fed a high-fat diet with 43% of calories from fat (a typical American diet), while others were fed a normal healthy rat diet. Not surprisingly, the rats fed the high-fat diet were far more likely than the normal-diet rats to develop metabolic syndrome (characterized by such things as excess weight, excess fat, insulin resistance, and glucose intolerance.) What surprised the scientists was that the daughters of these rats were also far more likely to develop metabolic syndrome than the daughters of rats fed healthy diets. None of the daughters and none of the mothers ate a high-fat diet and the fathers did not have any contact with the daughters. The high-fat diet of the fathers appeared to cause negative effects for their daughters. What are the…
Perform an independent-sample t-test in SPSS to determine if the diet type (Variable 'diet'- diet type: meat eater and vegetarian) influence the pulse rate when running (Variable 'stage 3'-pulse running). Specifically, you want to know whether meat eaters have significantly higher pulse rate (stage 3: pulse running) than vegetarians. Use α = .05 The dependent variable is
A researcher conducts an independent-measures, two-factor study with two levels of factor A and three levels of factor B, using a sample of n=10 participants in each treatment condition. What are the df values for the F-ratio evaluating the main effect of factor A? What are the df values for the F-ratio evaluating the main effect of factor B? What are the df values for the F-ratio evaluating the interaction?

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