Based on the picture: A. What is the probability that a randomly sampled individual from the population has two copies of the a allele (that is, that it has an aa genotype)? B. What is the probability that both members of a randomly sampled married couple (man and woman) are aa at the asparagus-smelling gene?
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- The genetic of a human is the source of a disese., but only if you have the gene type a. The relative frequency of people with carrying two copies of a is 0.0001(aa), but one copy is 0.0198(Aa). Those not having the a-gene = 0.9801(AA) Even though you are carrying a you may not get the disese. You can get the disese without a. the probability of aa = 0.6, Aa= 0.02 and AA= 0.01 What is the probability that a random person has the disese? Given you have the disese, whats the probabilty for having genes aa, Aa or AA?A mutation in Gene A is thought to be associated with a disease. The mutation in Gene A is found in 5% of the population. 2% of the whole population is diagnosed with disease B at some point in their life time. 1% of the population both has the mutation and also gets diagnosed with the disease in their life time.a. Is the provided data adequate to test the independency of mutation in Gene A and occurrence of Disease B? If it is not, what other information or data is needed to test the independency?b. What is the probability of Disease B, among the individuals with the mutation in Gene A?c. What is the probability of having the mutation in Gene A among the individuals with Disease B?d. If an individual has the mutated Gene A, what is their Relative Risk of developing the disease?A study was conducted in Thailand to study the association between Vitamin A deficiency and death among children with measles. A summary of their data is provided below. Which of the following statements is true? Died Did not die Have Vitamin deficiency 20 20 Do not have vitamin deficiency 25 100 Those without vitamin D deficiency are more likely to die than those with Vitamin D deficiency There is no association between Vitamin D deficiency and death Those with Vitamin D deficiency are more likely to die than those without Vitamin D deficiency None of these answers are co
- A social psychologist wants to know if people judge a person's attractiveness differently if they appear rich or poor. Two pictures were taken with the same model, one in expensive clothes standing next to a new sports car, and the other in old clothes standing next to an old hatchback car. In an online survey, participants were randomly divided so that they saw one of the two pictures and were asked to rate the model's attractiveness on a scale of 1 to 10. 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 ANOVAThe epidemiological, clinical, and bacteriological aspects of shigellosis were studied in a population of hospitalized children in northern Israel. Shigellosis invades epithelial cells of the colon and causes inflammation a severe cases of diarrhea and dysentery. Below is a table that lists the frequencies of two different species of Shigella: S. sonnei and S. Flexneri between hospitalized and non-hospitalized Jews and Arabs. a) Combine hospitalized and non-hospitalized children, what is the overall prevalence of: sonnei among Jewish children: ____________________________ sonnei among Arab children: ____________________________ Flexneri among Jewish children: ____________________________ Flexneri among Arab children: ____________________________ b) Calculate a 95% confidence interval for the population difference in prevalence of S. Flexneri between hospitalized Jewish children and hospitalized Arab children. Briefly interpret the confidence interval. c) Conduct the appropriate…You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu.Past studies state that about 33% of people who get the flu experience nausea. You collected data on 2248 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 810 experienced nausea. You decide to carry out a simulation to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 33%.a) Identify the null and alternative hypotheses.H0H0: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥ H1H1: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥
- A doctor would like to evaluate whether flu-frequency is different among patients of various ages. He groups his most recent 12 patients into four groups according to age (pediatric, young adult, older adult, senior), and counts the frequency of their flu-related visits. Below is his data. Test the hypothesis that flu frequency is different among pediatric, adult, older adult, and senior patients using an alpha level of .01. Pediatric. Young Adult. Older Adult. Senior 6 2 4 7 4 1 0 9 5 0 0 12 d. Find the critical value: e. Calculate the obtained statistic: f. Make a decision: g. What does your decision mean? h.…A random sample of 1200 apples was taken from a large consignment and found that 10% of them are bad. The supplier claims that only 2% are bad. Test his claim.A doctor would like to evaluate whether flu-frequency is different among patients of various ages. He groups his most recent 12 patients into four groups according to age (pediatric, young adult, older adult, senior), and counts the frequency of their flu-related visits. Below is his data. Test the hypothesis that flu frequency is different among pediatric, adult, older adult, and senior patients using an alpha level of .01. Pediatric. Young Adult. Older Adult. Senior 6 2 4 7 4 1 0 9 5 0 0 12 a. What test is appropriate? b. State your null hypothesis: c. State your alternative hypothesis. d. Find the critical value:…
- A doctor would like to evaluate whether flu-frequency is different among patients of various ages. He groups his most recent 12 patients into four groups according to age (pediatric, young adult, older adult, senior), and counts the frequency of their flu-related visits. Below is his data. Test the hypothesis that flu frequency is different among pediatric, adult, older adult, and senior patients using an alpha level of .01. Pediatric. Young Adult. Older Adult. Senior 6 2 4 7 4 1 0 9 5 0 0 12 g. What does your decision mean? h. Paste your SPSS output here: i. Explain how the Sig. value in your SPSS output leads you to…One variety of corn is genetically modified to produce chemicals for defense against predators. The standard corn contains the same standard genotype, but without genetic modification for the chemicals. The two types of corn are then planted in randomly placed adjacent plots across a single field. The amount of predators that are present when the corn has matured are then recorded. The data that was recorded of the predators present among each type are listed. Has genetic alterations decreased the amount of predators for the altered genotype? Normality tests for the populations of both contain a p value less than 0.05. The given alpha is 0.05 Modified Corn (20, 18, 26, 23, 17, 23, 22) Standard Corn (89, 64, 102, 96, 56, 77, 84, 59) use an F test to determine if the variance between the 2 lists are different. Based on this result, state the correct 2 sample parametric test to be used. State the null and alternative. Show calculations while rounding to two decimal points.What is the…A paper describes a study of the use of MRI (Magnetic Resonance Imaging) exams in the diagnosis of breast cancer. The purpose of the study was to determine if MRI exams do a better job than mammograms of determining if women who have recently been diagnosed with cancer in one breast have cancer in the other breast. The study participants were 950 women who had been diagnosed with cancer in one breast and for whom a mammogram did not detect cancer in the other breast. These women had an MRI exam of the other breast, and 101 of those exams indicated possible cancer. After undergoing biopsies, it was determined that 30 of the 101 did in fact have cancer in the other breast, whereas 71 did not. The women were all followed for one year, and four of the women for whom the MRI exam did not indicate cancer in the other breast were subsequently diagnosed with cancer that the MRI did not detect. The accompanying table summarizes this information. Cancer Cancer Not Present Present Total MRI…