3. Chi square tests can be used to support or reject other types of hypotheses where random chance can be involved.For example, studies done on honeybees may track how often bees visit each type of flower. In these studies, you aretrying to disprove that the bees visit the flowers in equal amounts (showed no preference). Scientistsobserved that 54 bees visited tulips and 66 bees visited lilies.Do the bees in the study below show a statistically significant preference for lilies?(Observed - Expected)?ExpectedObservedExpectedVisited TulipsVisited LiliesSummed X =ANALYSIS:4. In Wisconsin Fast plants, purple stems (P) are dominant to green stems (p). Plants can also be tall (T) ordwarf (t). Two tall plants with purple stems are crossed with results shown in the chart. Do the resultssupport a hypothesis that both plants were heterozygous? Show a chi square analysis to support yourposition.(Observed - Expected)?ExpectedObservedExpectedPurple, tall48Purple, dwarf16Green, tall12Green, dwarf6.Summed X = 1.011 (good fit)ANALYSIS:z* critical valuesprobability(0-e)X² =Edf.995.905010050252.706 3.8415.024.4551.3862.366 6.251.207 1.064 3.357 7.779 9.488 11.143.000.016.010 .211.072 .58424.605 5.9917.378e37.815 9.3484www hinlogvrorner com

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3. Chi square tests can be used to support or reject other types of hypotheses where random For example, studies done on honeybees may track how often bees visit each type of flower. In these studies, you are trying to disprove that the bees visit the flowers in equal amounts (showed no preference). Scientists observed that 54 bees visited tulips and 66 bees visited lilies. Do the bees in the study below show a statistically significant preference for lilies? (Observed - Expected)? Expected Observed Expected Visited Tulips Visited Lilies Summed X =

3. Chi square tests can be used to support or reject other types of hypotheses where random For example, studies done on honeybees may track how often bees visit each type of flower. In these studies, you are trying to disprove that the bees visit the flowers in equal amounts (showed no preference). Scientists observed that 54 bees visited tulips and 66 bees visited lilies. Do the bees in the study below show a statistically significant preference for lilies? (Observed - Expected)? Expected Observed Expected Visited Tulips Visited Lilies Summed X =

Biology: The Dynamic Science (MindTap Course List)

4th Edition

ISBN:9781305389892

Author:Peter J. Russell, Paul E. Hertz, Beverly McMillan

Publisher:Peter J. Russell, Paul E. Hertz, Beverly McMillan

Chapter1: Introduction To Biological Concepts And Research

Section: Chapter Questions

Problem 7TYK: Which of the following represents the application of the scientific method? a. comparing one...

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A. Define null hypothesis in your own words. B. What is thr poiny of having a null hypothesis? C. What is the alternative hypothesis? D. Why do we need to test the null hypothesis instead of just proving an alternative hypothesis? F. You are t. Esting the effect of a particular fertilizer onba plant's growth. Your control plants don't get fertilizer while your test plants do. Whatvwould be your hypotheses and the null hypotheses?
The crab spider, Thomisus spectabilis, sits on flowers and preys upon visiting honeybees. Do honeybees distinguish between flowers that have crab spiders and flowers that do not? To test this, Heiling et al. (2003) gave 34 bees a choice between 2 flowers: one with, and one without a crab spider. In 24 of the 34 trials, the bees picked the flower that had the spider. In the other trials, the bees chose the spiderless flower. With these data, carry out the appropriate hypothesis test (one- or two-tailed), using the normal approximation to the binomial distribution to determine Z. For a one-tailed test, use the formula =(1-NORM.DIST(Z,0,1,TRUE) in Excel calculate P. For a two-tailed test, use the formula =2(1-NORM.DIST(Z,0,1,TRUE). State your answer for the value of P to three decimal places, and include the leading zero. Do all of the math in Excel DO NOT round the value of Z. Substitute the cell (e.g. B1) for Z in the formula for P.
I'm trying to make sense of what I'm supposed to do I have to write two statements on the conclusion on my pendulum prediction. If your predication was supposed or no and what, you conclude about the variable that was tested? explain possible sources of errors of things that could have been affected your experiment? how you used the scientific method and the last question is to suggest two things that could be done to improve your experiment? can you please explain what these questions mean? I have to put them in statements but not sure what they mean. I'll include what my teacher said. Here is my advice to distinguish between the dependent and independent variables. The dependent variable depends on the independent variable. So, set up two statements comparing your two variables, such as kick distance and leg strength. Does leg strength depend on kick distance? Or does kick distance depend on leg strength? One of those statements will make more sense than the other. It…
1. Given that there's a science to back you up and you actually have the capability of producing an offspring with your desired traits, would you do it? What should the limitations be if you have to put a limit on this? 2. On the other hand, give some reasons why you will not choose to do it even if there's a science to back you up and you actually have the capability of producing an offspring with your desired traits.
1. Describe what you think would happen if a male mouse acquired a mutation that gave it tan or a sandy colored belly AND female mice wanted to mate with this more about 1 % more than a male mouse with a white belly? 2. Now, suppose that the females were really wild about the sandy colored belly of this male mouse. The females wanted to mate with this lucky mouse about 10% more than males with a white belly? What would happen to the frequency of sandy colored bellies in this population over time? 3. What is the selective pressure at work in questions 1 & 3? 4. Describe what this statement means: "The division of humans into races by using skin color is an arbitrary social construct." 5. What are melanosomes? Name the cell type that produces melanosomes. 6. What happens to melanosomes after they are released into keratinocytes? 7. List the three factors that work together to create the range of skin colors we see today. 8. Describe the main function of keratinocytes and of…
What is your analysis in the What is your analysis on the given picture? How is this concept important?
1.Which statistical test allows us to evaluate if an observed distribution of phenotypes is significantly different from an expected distribution? 2.Construct and write a null hypothesis based on the F2 data that we're evaluating.
plants were grown using two differenc fertilizers and the number of flowers that each plant produced was counted. to test for a significant effect of fertilizer on the number of flowers at the 5% level significance, the calculated and the critical values were computed. type both the null and the alternative hypothesis for this test in the box below. use full sentences to describe both H0 and H1. (no mathematical terms in the answer)
(1 question with multiple steps please answer them all) In your own words, describe the difference between continuous and discrete data sets. What is the difference between the independent and dependent variable? How do you determine which goes on which axis on your graph? What are the four types of correlation? How do they differ from one another? In your own words, explain the difference between correlation and causation.
1. A sample of 600 individuals from a population is examined for the presence of the HindIII polymorphism in an autsomal Sca gene. There are two alleles of Sca gene, A and a. The results are 14 individuals are AA, 212 are Aa, 374 are aa. Please answer the following questions accordingly? How many alleles are present in the gene pool in the sample population fort he Sca gene? What are the genotype frequencies? What are the frequencies of A and a alleles? What are the expected numbers of the three genotypes, assuming random
1) “Nature is an extremely dangerous place to live.” Provide example in support of this assertion. 2) How is selective breeding similar and different from natural selection?
1. You measure the effects of a single allele (A2) on fitness in two populations of the same plant species, Population X and Population Y. Population X lives at higher altitudes. The average excess of fitness of the A2 allele (aA2) in Population X is 1.21, and the average fitness of the population (w) is 1.0. Population Y lives at a lower altitude. The average excess of fitness of the A2 allele (aA2) in Population Y is -1.68 and the average fitness of the population (w) is 1.0 a) Which population is likely to experience faster evolution? Why? b) What do you predict will happen to the frequency of the A2 allele (pA2) in population X? c) What do you predict will happen to the frequency of the A2 allele (pA2) in population Y? d) Why do you think the average excess of fitness of the A2 allele is different in these two populations?