21.4 please! 21.3 Saving birds from windows, continued. Exercise 21.1 described an exper-earth rather than sky can help reduce accidental bird strikes. Calculate theexpected counts in each of the three conditions and compute the chi-squareAPPLY YOUR KNOWLEDGE21.3 Saving birds from windows, continued. Exercise 21.1 describediment designed to figure out whether tilting windows down so that ther per-earth rather than sky can help reduce accidental bird strikes. Calcular ectstatistic.21.4 Heat resistance in rice, continued. Exercise 21.2 investigated a genetic meof heat resistance in rice plants. What are the expected counts for each of the tphenotypes? Use these expected counts to compute the chi-square statistic.bovisedeTHE CHI-SQUARE TEST FOR GOODNESS OF FITHypothesis tests require a set of null and alternative hypotheses, a test statistic.and a P-value that gives the probability if the null hypothesis was true of obtaininga test statistic at least as extreme as that computed. To obtain the P-value for agoodness-of-fit test, we need to have a known probability distribution for the teststatistic, X². Deriving this distribution mathematically is beyond the scope of anintroductory statistics textbook, so we will simply state the facts. When the nullhypothesis is true, the X statistic follows a chi-squaredistribution.THE CHI-SQUARE DISTRIBUTIONSThe chi-square distributions are a family of distributions that take only прhree Pnle 21.2 the variable landing side had only two possible outcomes (legs,In Exend the two population proportions in Họ were 1/2 and 1/2.4 Saving birds from windows. Many birds are injured or killed by flying intowindows. It appears that birds don't see windows. Can tilting windows down sothat they reflect earth rather than sky reduce bird strikes? Researchers placed sixwindows at the edge of a woods: two vertical, two tilted downward 20 degrees, andtwo tilted downward 40 degrees. During the next four months, there were 53 birdstrikes: 31 on the vertical windows, 14 on the 20-degree windows, and 8 on the40-degree windows. Does the tilt have an effect? State the null and alternativehypotheses.(a) Identify the variable and explain how you know that it is categorical. Howmany levels does this variable have? bom s g nanimobs no(b) State the null and alternative hypotheses that are appropriate for the study'sobjective.21.2 Heat resistance in rice. Rice is one of the most widely consumed grains world-wide. As increasing global temperatures hamper rice production, scientists aresearching for varieties exhibiting some degree of heat resistance. The HT54 vari-ety of the indica rice, Oryza sativa, was found to tolerate several days of hightemperatures up to 48 degrees Celsius (118 degrees Fahrenheit) during its growth.Researchers performed a genetic crossing experiment between the heat-resistantHT54 variety and a control variety, HT13, without heat resistance. All seedlingsin the first generation survived a heat challenge of 48 degrees Celsius. In the sec-ond generation (F2), only 548 of the 744 plants survived the heat challenge.4This would suggest that heat resistance is carried by a single gene with a dominantallele and a recessive allele. Are the findings consistent with a simple dominant-recessive Mendelian genetic model in which F2 is made up of 75% dominant-trait(heat resistance) and 25% recessive-trait rice plants? eid(a) Identify the variable and explain how you know that it is categorical. Howmany levels does this variable have?(6) State the null and alternative hypotheses that correspond to the study'sobjective.

Given that, Researchers performed a genetic crossing experiment between the heat-resistant HT54…

statistic. 21.4 Heat resistance in rice, continued. Exercise 21.2 investigated a genetic me of heat resistance in rice plants. What are the expected counts for each of theet phenotypes? Use these expected counts to compute the chi-square statistic.

statistic. 21.4 Heat resistance in rice, continued. Exercise 21.2 investigated a genetic me of heat resistance in rice plants. What are the expected counts for each of theet phenotypes? Use these expected counts to compute the chi-square statistic.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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