1. Genome-wide Association studies can be used to find genes that contribute to a quantitative trait. True or False 2. Heritability of a trait is a characteristic of a population that won't change over time. True or False 3. Heritability for IQ might be high in one population in one population and low in a different population: True or False
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- Give at least 3 species characteristics of human beings. What are "phenocopies"? Give at least three (3) specific examples. Examples 1. 2. 3. 3. Which do you think is the most important type of variation? Why? 4. Differentiate continuous from discontinuous trait. Give at least two (2) examples each. Continuous trait Discontinuous trait6. A particular genetic disorder is associated with a single gene with two alleles. Individuals with two recessive alleles are affected. The prevalence of the disorder is 1 in 6,600. Assuming the population is in Hardy-Weinberg equilibrium, which of the following is closest to the frequency of carriers in the general population? 0/1 Show Your Work 0.01230 0.00015 0.98770 0.024301. Under what circumstances would a researcher choose a longitudinal study over a cross-sectional study? Give a specific example of a question that could be addressed with a longitudinal study. 2. Factorial designs allow researchers to study the effects of more than one independent variable simultaneously. Why is this advantageous? What information can factorial designs yield that non-factorial designs cannot? 3. A nutrition researcher is concerned about mistakenly concluding that a new dietary intervention is effective when it really is not. What type of error is the researcher concerned about making (Type I or Type II)? Describe what the researcher might do to decrease the likelihood of making that type of error. Discuss ramifications of your suggested approach for other types of error in the study. 4. Explain why it is important to interpret the findings of a research project and why these interpretations are an essential element in a high-quality research report.
- C. In a horse population, three different traits showing continuous distribution were measured, and their variances are shown in the table below: Traits Cutting Racing Speed Jumping Variance Ability Ability Phenotypic 96 39.2 39 Environmental 42 27.8 16.8 Additive 39 12.4 12 Dominance 10 3.1 9. 1. Calculate the broad sense and narrow sense heritabilities for each trait.Someone's subjective v x sons/3007531/variants/3201562/take/2/ e help... It used to be, everyone was entitled to their own opinion, but not their own facts. But that's not the case anymore." MULTIPLE CHOICE Can you tell a fact from an opinion? Can you tell when an idea follows logically from a fact? Basing ideas on facts is essen- tial to good science. Science is a set of facts, and it is also a set of explanations that are based on those facts. Science re- lies on facts to explain the natural world. Someone's subjective view or position on a subject is called A B C data Amazon Music Unlimite X a fact an opinion M Can anybody help me x DBO Stephen Colbert AV Club Interview, January 2006 Attempt 1 of 2 Practice + Meurtres alus SepII.. Interpret and identify what statistical test will be use (parametric or nonparametric) and discuss. 1. Tests of Normality (8 Kolmogorov-Smirnov Sig. Shapiro-Wilk Sex Statistic df Statistic df Sig. SEI Male .052 140 .200 .980 140 .035 Female .062 203 .058 .988 203 .082 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction
- When describing quantitative traits, a high variance indicates that: O most values are higher than the mean O the mean value is very high O most values are very close to the mean most values are lower than the mean the variation among the values is highWhich of the following is TRUE regarding quantitative traits? they are always determined by partially dominant alleles, which yield intermediate trait values they are often influenced by the action of many genes they are not heritable they are often normally distributed in a population they are often influenced by environmental effects2 2. A survey was conducted for a certain trait (the ability to roll tongue or inability to roll the tongue) in a population. The result shows that 215 of the respondents can roll their tongue and 85 cannot roll their tongue. The picture below shows a person rolling his tongue. Rolling the tongue into a tube shape is often described as a dominant trait. If the dominant allele is represented by R (can roll tongue) and r represents the recessive allele, calculate the phenotypic frequencies, allele frequencies, the expected numbers of the three genotypic classes and the expected numbers of the two phenotypic classes (assuming random mating). Using chi-square test, determine whether or not this population is in Hardy-Weinberg equilibrium. REMEMBER: Genotype Phenotype Can roll tongue Cannot roll tongue HWE term p2 and 2pq q2 RR and Rr rr
- What is the topic in statistics that is the most difficult ? Please be specific here. Saying “I don’t understand anything” or “I don’t understand module 7” are very vague and difficult for people to help with. Instead, try and narrow it down to something like “I am struggling computing Cohen’s d” or “I am struggling to determine whether we reject or fail to reject the null hypothesis.”A researcher uses a 95% confidence interval to test whether an odds ratio of 1.8 is statistically significant (95% CI = 1.3 – 2.6). If the researcher wishes to be more confident and uses a 99% CI, with the same N in each group, the 99% confidence interval will be: A. Narrower because we will have more confidence in the interval.B. Wider, because to be more confident with the same interval you would need alarger sample size.C. Neither. A researcher conducts a prospective cohort study and obtains a Rate Ratio of 2.44 (95% CI 0.81-5.22). In reality there is truly a difference between the exposed group and the unexposed group (the null hypothesis is false). Based on the information provided by the researcher we see that no error has been made. A. True B. FalseI am testing the prediction that spiders with colors that match a flower (cryptic coloration) will have greater success hunting bees visiting that flower. I set up two treatments for spiders: those matching their flower and those not matching their flower. I measure how long it takes each of them to catch a bee. What kind of statistical test would be best for testing my prediction? Chi-square ●ANOVA Regression