aHome Insert Draw DesignLifetimeF6Paste&V7UTimes New... V 12F7||A A Aa ABIU✓ ab x₂ x²x ADAPage 2 of 3*8²Generally, large values of are highly improbable when the null hypothesis is true. (Note that if theexpected and observed values are exactly the same, takes on a value of zero). Statisticians havecomputed the exact probabilities of obtaining different values of under a true null hypothesis. Forthe example given above, the probability of obtaining ax of 3.84 (known as a critical value) or greaterwhen the null hypothesis is true is less than 0.05 (in other words, less than 5% of the time). If thecalculated value of is greater than this critical value, the null hypothesis is rejected in favor of thealternative.>>Layout » Tell meIn the next class meeting you will work in groups of four to discuss the use of statisticalprocedures in hypothesis testing. Each person in the group will act as the 'facilitator' for one question,leading the group discussion, promoting input from each of the other students (who will be acting as'discussants') and formalizing the group response. In the role of a discussant, students provide theirknowledge, experience and perspectives, compare and contrast the inputs of other members of thegroup and collaborate in the formulation of the group response. At the end of the activity, you may becalled on to present your group's answers to one of the questions (not necessarily the one you were thefacilitator for). You will act as both a facilitator and a discussant in the activity.Identification/Observation1. How is a statistical hypothesis best defined?Statistical hypothesis is testing inferences that would be predicted based on data that is given from apopulation.2. According to the reading, what do large values of typically lead to?3. Based on the value obtained from the rhino data, would you reject or fail to reject the nullhypothesis that the sex ratio is 1:1? Explain your reasoning.1064 wardsFormulation of a plan4. Imagine that you are interested in testing whether or not a trait segregates in a 9:3:3:1 phenotypicratio. Formulate your null and alternative hypotheses for this scenario. How did you arrive at thisdetermination?15. Suppose the test statistic had been computed as x²= 1.76. Based on this value, what would ourbiologist do?DIIF8Calculation/Data Collection6. Suppose that you expect a 2:1 male female sex ratio in a certain insect population. You collect 90insects at random of which 70 are males and 20 are females. What is the expected number of malesunder your null hypothesis?7. Calculate the chi-square value for the example above.9VApplication/Analysis8. Based on the x2 value calculated in question 7, would you reject or fail to reject the null hypothesisin question 6? Explain your reasoning.xO=AParagraph StylesNameF9OFocusCommentsF10PF11{[+ 11F12}Editing]Dictate100%EditordeleteShare

Identification/Observation 1. How is a statistical hypothesis best defined? Statistical hypothesis is testing inferences that would be predicted based on data that is given from a population. 2. According to the reading, what do large values of typically lead to? 3. Based on the value obtained from the rhino data, would you reject or fail to reject the null hypothesis that the sex ratio is 1:1? Explain your reasoning.

Identification/Observation 1. How is a statistical hypothesis best defined? Statistical hypothesis is testing inferences that would be predicted based on data that is given from a population. 2. According to the reading, what do large values of typically lead to? 3. Based on the value obtained from the rhino data, would you reject or fail to reject the null hypothesis that the sex ratio is 1:1? Explain your reasoning.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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