2. A researcher transferred two hybrid Red color fishes, from a pure line Red colorfish as dominant and pure line White color fish as recessive, in a large aquarium forbreeding purposes. After few months, fingerlings were seen inside the aquarium,however, two colors of the fishes were observed. The researcher counted thefingerlings and obtained 133 red color fishes and 38 white color fishes. The researcherdid not know if the result followed the Mendelian genetic ratio of 3:1?a) With the given problem, compute the chi square value. Show your solutions.b) Does the result follow the ratio of 3:1 at 0.05 significance level? Why or why not? Critical values for x? testp-val0.1 0.05 | 0.01 0.005DF12.706 3.846.647.882 4.605 | 5.999.2110.603 6.251 7.8211.35 12.944 7.779 | 9.4913.28 14.8659.236 11.07 15.09 16.756 10.65 | 12.59 16.81 | 18.557 12.02 14.07 | 18.48 20.288 13.36 | 15.51 | 20.09 21.969 14.68 16.92 | 21.67 23.5910 15.99 | 18.31 23.21 | 25.19

Chi-square test : Chi-square test helps to determine the significant difference between the observed…

Answered: 2. A researcher transferred two hybrid…

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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A new cream that advertises that it can reduce wrinkles and improve skin was subject to a recent study. A sample of 60 women over the age of 50 used the new cream for 6 months. Of those 60 women, 50 of them reported skin improvement(as judged by a dermatologist). Is this evidence that the cream will improve the skin of more than 40% of women over the age of 50? Test using α=0.05 test statistics z=? rejection region z>? The final conclustion is A. We can reject the null hypothesis that p=0.4 and accept that p>0.4 That is, the cream can improve the skin of more than 40% of women over 50.B. There is not sufficient evidence to reject the null hypothesis that p=0.4 That is, there is not sufficient evidence to reject that the cream can improve the skin of more than 40% of women over 50.
f the F ratio in an ANOVA is more extreme than the cutoff score, what does this suggest?
A study was done to compare the birth weight of newborn babies from the general population to a group of 24 babies born to mothers who smoked during pregnancy. The researcher was testing her prediction of an average lower birth weight for babies born to smokers. The mean birth weight in the population was reported to be 3.5 kg and birth weight in the sample was M = 3.0 kg. Results from the t-test used in data analysis showed a t-value = 5.35, p = .02. No calculations are required here. Type in your answers to the following questions in the space below. 1) which of the 3 t-tests is the proper one to use? 2) Write the Null and Alternative Hypotheses for this study in a sentence, including the value of mu. 3) Write an APA conclusion for this study to report the results. This sentence should include the IV and DV, significance, APA stats, and the M.
Let x = red blood cell (RBC) count in millions per cubic millimeter of whole blood. For healthy females, x has an approximately normal distribution with mean ? = 5.6 and standard deviation ? = 0.4. (g) If a female had an RBC count of 5.9 or higher, would that be considered unusually high? Explain using z values. A. Yes. A z score of 0.75 implies that this RBC is unusually high. B. No. A z score of −0.75 implies that this RBC is unusually low. C. No. A z score of 0.75 implies that this RBC is normal.
A researcher wishes to test the claim that the average cost of tuition and fees at a four year public college is greater than $5700. She selects a random sample of 36 four-year public colleges and finds the mean to be $5950. The population standard deviation is $659. Is there evidence to support the claim at 0.05? STEP 2. The critical value (s) is/are: z1 = z2 = (IF THERE IS ONLY ONE CRITICAL VALUE ENTER IT IN THE LEFT BOX AND ENTER NA IN THE RIGHT BOX.)
(T/F) True or False. For an observed value x from any Normal Distribution with known mean and standard deviation, we can always calculate a z-score for this x.
A researcher would like to test the effectiveness of a newly developed growth hormone. The researcher knows that under normal circumstances laboratory rats reach an average weight of µ = 950 grams at 10 weeks of age. The distribution of weights is normal with σ = 30. A random sample of n = 25 newborn rats is obtained, and the hormone is given to each rat. When the rats in the sample reach 10 weeks old, each rat is weighed. The mean weight for this sample is M = 974. Sketch the appropriate distribution, and locate the critical region for .05. Calculate the test statistic ( z- score) for the sample. What decision should be made about the null hypothesis, and what decision should be made about the effect of the hormone?
At α=0.10 , Use the distribution table to find the critical values for the rejection regiontc= (use 4 decimal places)e. What is your conclusion? Reject the null hypothesis and support the claim Accept the alternative hypothesis and reject the claim Accept the null hypothesis and support the claim Fail to reject the null hypothesis and do not support the claim Reject the alternative hypothesis and support the claim
The amount of coffee poured from a dispenser into a glassobeys the normal law whose average is 300 mL and the deviationtype 5 mL.a) What proportion of the glasses of coffee served by this dispenser contain less than 292 mL of coffee?b) If the glasses have a maximum capacity of 310 mL, whatproportion of glasses overflowing when usedwith this distributor?c) What should be the capacity of the glasses so that only 1% of them overflow when used?with this distributor?
At a local high school, GPA's are normally distributed with a mean of 3.0 and standard deviation of 0.6. The middle 70% of the GPA values range from _____ to _____.
To qualify for a Master’s degree program in Business Administration at San Sebastian College, candidates must score in the Top 20% on a mental ability test. The test has a mean of 180 and a standard deviation of 25. Find the lowest possible score to qualify. Assume the test scores are normally distributed. [HINTs: 1.)Using the z-table you can verify that Top 20% implies z=0.84…2.)Find the x-value corresponding to z=0.84.]

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