1. CHICKEN FEED ADDITIVE STUDY Instruction: For all test of hypotheses, write Ho and Ha in words, specify test procedure, show.computed test statistic with df (if japplicable), 'p-value, decision and conclusion. A study was conducted to determine the effect of different types of feed additives (A1, A2, A3) in the cortisol level (ng/ml) among chickens. Fifteen chickens were randomly assigned to the three feed additives. The cortisol level (ng/ml) of the chickens was then measured after four weeks. a. If you are in this research team, what would you advise with regards to the use of the treatments? Show how did you come up with this advice by conducting hypothesis testing.
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- If there is an interaction, is the interaction significant? That is, does the effect of maternal diet on passive avoidance depends on the levels of age(i.e., on whether the rat is adolescent or adult)? Why? Provide F-statistic, df of the numerator, df of the denominator , and p-value.What is the most appropriate test to determine if the three feed additives resulted to different mean cortisol level of chickens at 5% level of significance? Justify your answer. What test should be used Provide justification (provide test of hypothesis if you must):A researcher believes that low BMI levels are indicators of eating disorders. He collects BMI of a sample of young adults identified as at risk for eating disorfers to see if their mean BMI is significantly below 18.5 What test would you use and why? (z test, independent t test, single sample t test, paired samples)
- A group of health conscious researchers were interested in ways to lower blood pressure. The study consisted of 90 participants. 30 participants were randomly assigned to eat a heart healthy diet, 30 were randomly assigned to a heart healthy exercise routine, and 30 were randomly assigned to do nothing and serve as a control. After a month of their assigned intervention, participants' blood pressure was measured. Which statistical test should be used to compare the 3 intervention types on post-treatment blood pressure? df between= ? df within= ? df total= ?A researcher wants to test the effectiveness of a new drug to treat asthma. One hundred patients with chronic, stable asthma were randomly assigned to one of three groups to receive a placebo (0mg), 1mg of drug, or 5 mg of drug. After treatment, a doctor tested the patient’s forced expiratory volume for 1 second (FEV1). Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVAIf there is a main effect of maternal diet (alcohol vs non alcohol), is the main effect of maternal diet (alcohol vs non alcohol) ? why? provide f statistic, df of numerator,df of denominator, and p value
- OxyContin is a drug used to treat pain, but it is well know for its addictiveness and danger. I n a critical trial, among subjects treated with OxyContin, 52 developed nausea and 175 did not. Among other subjects given placebos, 5 developed nausea and 40 did not. Use a 0.05 significance level to test for a difference between the rates of nausea for those treated with Oxycontin and those given a placebo! Question: state the conclusionDelta studied the relationship between the number of passengers on a particular flight and the cost of the flight. It seems logical that more passengers on the flight will result in more weight & luggage, which would create higher fuel costs. For a sample of 19 flights, the correlation between the number of passengers and total fuel cost was 0.669. State the decision rule for 0.05 significance level (round to 3 decimal places) Compute the value of the test statistic (round to 2 decimal places)The table below refers to a case control study on the association between sulfones and streptomycin drugs in the treatment of leprosy. Subjects were sampled based on their clinical change to treatment and then asked whether they had a high or low degree of infiltration. The degree of infiltration measures a type of skin damage. We will use clinical change response scores {-1, 0, 1, 2, 3}. The question of interest is whether degree of infiltration is associated with clinical change. (a) Compute the sample proportions of having a high degree of infiltration for each clinical change group? What type of variable is Clinical Change? (B)Conduct a Cochran-Armitage trend test at the 5% significance level to determine whether there is an association between degree of infiltration and clinical change. (C)Now, ignore the fact that clinical change is an ordinal variable. Conduct a chi-squared test for association between degree of infiltration and clinical change at the 5% significance…
- Miller and Vanhoutte (A1) conducted experiments in which adult ovariectomized female mongrel dogs were treated with estrogen, progesterone, or estrogen plus progesterone. Five untreated animals served as controls. A variable of interest was concentration of progesterone in the serum of the animals 14 to 21 days after treatment. We wish to know if the treatments have different effects on the mean serum concentration of progesterone. TABLE 8.2.3 Concentration of Serum Progesterone (ng / dl) in Dogs Treated with Estrogen, Progesterone, Estrogen Plus Progesterone, and in Untreated Controls Treatment Estrogen + Progesterone Untreated Estrogen Progesterone 117 124 40 440 264 221 2664 2078 3584 605 626 385 88 136 475 1540 40 1840 Total 409 1061 2091 11706 15267 Mean 81.80 265.25 522.75 2341.20 848.1667 SOURCE: Virginia M. Miller, Ph.D. Used by permission.What is the key difference between an independent and a dependent samples t-test?Suppose an epidemiologic investigation of people entering a STD clinic is performed. It is found that 160 of 200 patients who are diagnosed as having gonorrhea and 50 of 105 patients who are diagnosed as having nongonococcal urethritis have had previous episode of urethritis. Is there any association between present diagnosis and prior episodes of urethritis? (Calculation: test statistic=32.17). Use the data in the table to test the claim, at alpha=0.05, that type of crime is independent of whether the criminal is a stranger (Calculation: Test statistics=119.33) Observed Homicide Robbery Assault Criminal was a stranger 12 379 727 Criminal was a relative 39 106 642