I expect for genetically identical animals that have been reared in similar conditions to have a smaller SD for any parameter that I decide to measure compared to genetically diverse animals that have been grown in a variety of natural environments. Group of answer choices A-True B-False
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I expect for genetically identical animals that have been reared in similar conditions to have a smaller SD for any parameter that I decide to measure compared to genetically diverse animals that have been grown in a variety of natural environments.
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- I expect for genetically identical animals that have been reared in similar conditions to have a smaller SD for any parameter that I decide to measure compared to genetically diverse animals that have been grown in a variety of natural environments.TRUE or FALSE: I expect for genetically identical animals thta have been reared in similar conditions to have a similar SD for any paraeter that I decide to measure compared to genetically diverse animals that have been grown in a variety of natural environments.I have a large number for my standard deviation. What does this tell me about the variability in my data? Select one: the variability is just right the variability is low the variability is high more data is needed
- I 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 RegressionWhat are the novel technologies, experiments, or materials (in vitro or silico) that provide ‘replacements’ for animals in experimentations? REDUCTION = means decrease of the number of animals used by standardization of the animal in terms of genotype andmicrobiological quality, of the experimental procedures and of the environment in terms of standardizedfood and climate in the animal room. Furthermore, the number of animals per experimental group can bemore accurately estimated by using statistics prior to the experiment, for example, power analysis.I'm needing help with part 1 through 3, please The data of Sugar Water and Plain Water: mean # of drops variance degrees of freedom t stat t crit (from the table) plain water 25.3 17.221 38 -4.01 2.0261 sugar water 21.3 21.256 1. Make a statement about t stat in relation to t crit. And what is the p-value? 2. Is there a statistically significant difference between the mean values (mean # of drops) of the sugar and plain water? Give your "yes" or "no" answer and the supporting evidence. 3. Hypothesis: The surface tension of plain water is higher than the surface tension of sugar water. Do these results support or refute the hypothesis about the effect of dissolving salt in water on surface tension?
- The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. What are the appropriate hypotheses for performing this significance test? Ho : x = 1; H. : x < 1 where i = the sample mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : µ < 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : µ < 1; H, : H = 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : p = 0.975 where u= the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : u # 1 where u= the true mean weight (in pounds) of bread loaves produced at the bakery.https://www.researchgate.net/publication/235324145_Quantitative_Genetic_Application_in_the_Selection_Process_for_Livestock_Production Give a brief discussion about the study above mainly about genetics and variationHi I need help finding the independent and dependent variable for my data. Thank you.
- When randomizing people to the intervention v. control group in the context of a randomized controlled trial, you should: Choose to enroll the people who are most likely to comply with your study protocol into the intervention group to avoid the problem of people not following through with the prescribed treatment you wish to study and thus lowering your chances of detecting an effect. Allow people to give their informed consent to participate in your study after they find out whether they have been randomized to one of the groups (either intervention or control), so that people who have doubts about any potential risks can make an informed choice about their participation after knowing what group they will be in. Make sure that you are aware of which people are in the intervention group and which are in the control group so that you can tailor your research questions to their groups. All of the above None of the abovePlease refer to the Chi squared step by step document for an example to follow. 4a. A large random sample taken from a natural population of flowering plants found 300 plants with red flowers (RR genotype), 150 with pink flowers (Rr genotype) and 38 white flowers (rr genotype). Is the population in HWE? Step 1 Calculate the frequencies of alleles R and r. Include the formula for calculating allele frequencies in a population. Ans: Step 2 Based on the allele frequencies how many individuals are expected to a certain genotype? Calculate by multiplying the number of individuals in population (n) x frequencies of alleles for that genotype: Ans: T Step 3 Fill in the Table Below Genotype Ans: RR Rr rr Observed Expected Obs - Exp Step 3 Use the following formula to calculate the Chi squared value., Note calculate for each genotype and get the sum. (Obs - Exp)² Exp ³x²³ = [ (O - E)² E Step 4 Determine the Chi Square value for 1 Degree of Freedom and for the probability 0.05 from the table…Which is the correct equation for the chisquare statistic? Group of answer choices a)x^2 = [(observed-expected)^2]/expected b)x^2 = sum[((observed-expected)^2)/observed] c)x^2 = sum[((observed-expected)^2)/expected] d)x^2 = sum[(observed-expected)/expected] What is a "p-value"? Group of answer choices a)the threshold at which you will reject the null hypothesis b)the probability of the null hypothesis being false c)the percentage of days you are sick during the year d)the probability of the null hypothesis being true