Remember that in Pisum sativum, yellow seed color is dominant over the green, and smooth seed is dominant over constricted. In a dihybrid cross experiment, the following data was gathered: 189 green, smooth 178 yellow, constricted 564 yellow, smooth 69 green, constricted Are these genes assort independently based on the observed data? Support your answer using the Chi-square test.

Remember that in Pisum sativum, yellow seed color is dominant over the green, and smooth seed is dominant over constricted. In a dihybrid cross experiment, the following data was gathered: 189 green, smooth 178 yellow, constricted 564 yellow, smooth 69 green, constricted Are these genes assort independently based on the observed data? Support your answer using the Chi-square test.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose you are a manager for a local clothing store. You want to introduce a new product for an upcoming holiday. You design 8 new products, and take a sample of 16 customers per product design, to determine if any of the products provide a different value to consumers through a rating system. Your one-way ANOVA test reveals a SSTotal of 8762, along with a sum of squares between treatments (SST) of 1204. Using this information, conduct the appropriate one-way ANOVA test, with a significance level of 1%, to determine if any of the products provide a significantly different value to consumers (significantly different average rating). What is the correct result of your analysis? We cannot say that there is a significant difference in value to consumers between the products on average, since the F-statistic of the analysis is smaller than the critical value. We cannot say that there is a significant difference in value to consumers between the products on average, since the F-statistic of…
✅❎♦️✅✅♦️♦️
This is my output from SPSS [attatched] and I need to make a results section for it for this study: Single Sample: A cognitive psychologist believes that a particular drug affects short-term memory. The drug is safe, with no side effects. An experiment is conducted in which 8 randomly selected subjects are given the drug and then given a short time to memorize a list of 10 words. The subjects are then tested for retention 15 minutes after the memorization period. The number of words correctly recalled by each subject is as follows: 8,9,10,6,8,7,9,7. Over the past few years, the psychologist has collected a lot of data using this task with similar subjects and has obtained a mean of 6 words correctly recalled (the data were normally distributed). I cannot remember - what I need to do with these outputs to determine statistical significance? and where I need to read to know the effect size? Here is the example results section given by the instructor: A single sample t test was…
In this study, the college instructor aims to know whether there are differences in the performance of students among the three classroom environments. We consider the . as the factor variable. Also, the response variable is the which is in the . level of measurement. The students were independently and randomly assigned to each of the three classroom environments: Mozart piece, relaxation music, and silence. The p-values obtained from the Shapiro-Wilk test indicate that the assumption of . was Further, results obtained from the Levene’s test indicate that the assumption of was Considering the variable of interest and the results of the test for the assumptions, the appropriate test procedure to analyze the given data is the The test yielded a p-value equal to Click or tap here to enter text.. Thus, we can infer that we have sufficient evidence to say…
A professor collected data from classes to see whether humans made selections randomly, as a random number generator would. Each of 36 students had to pick an integer from one to five. The data are summarized in the table below. A true random number generator would create roughly equal numbers of all five integers. Do a goodness-of-fit analysis to test the hypothesis that humans are not like random number generators. Use a significance level of a = 0.05, and assume these data were from a random sample of students. Click the icon to view the integer selection data. n Q A 1 Step 1: Hypothesize Ho: Humans are like random number generators and produce numbers in equal quantities. State the alternative hypothesis. Choose the correct answer below. @ HEF 2 W Z Since each expected count is, the condition that all the expected counts are 5 or more (Simplify your answer.) Step 3: Compute to Compare An incomplete calculation of the chi-square statistic is shown below. Calculate the chi-square…
an automobile engineer claims that 1in 10 automobile accidents are due to driver fatigue . if a random sample of 5 accidents observed , then the probabilty that 3 accidentsare due to drive fatigue is
The counts of the F1offspring are listed in Table 1. Two randomly selected individuals are selected and mated to produce a set of F2individuals. If you test the F2counts to determine whether they are consistent with an autosomal dominant mode of inheritance, what is your decision? Use a 0.05 significance level. PARENTAL CROSS Parental cross: Mother with disease phenotype, Father with wild-type phenotype. Table 1. F1 DATA Gender Phenotype Disease Wild-type Male 0 23 Female 0 34 Table 2. F2 DATA Gender Phenotype Disease Wild-type Male 7 25 Female 0 25 A. Do not reject the null hypothesis that the F2 data are consistent with an autosomal dominant mode of inheritance; chi-square goodness of fit test p-value is greater than 0.05. B. Reject the null hypothesis that the F2 data are consistent with an autosomal dominant mode of inheritance; chi-square goodness of fit test p-value is 1e-06. C. Reject the null hypothesis that the F2 data are consistent…
An article included data from a survey of 2500 hiring managers and human resource professionals. The article noted that many employers are using social networks to screen job applicants and that this practice is becoming more common. Of the 2500 people who participated in the survey, 1250 indicated that they use social networking sites (such as Facebook, MySpace, and LinkedIn) to research job applicants. For the purposes of this exercise, assume that the sample is representative of hiring managers and human resource professionals -Why can this sampling distribution be considered normal? Explain and show why. -Construct a 95% confidence interval for the true population proportion of employers who use social networking sites to screen job applicants. Be sure to write a conclusion sentence that interprets your interval. (You may use Excel for this -Construct a 99% confidence interval for the true population proportion of employers who use social networking sites to screen job applicants.…
Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place is shown in Table 11.55. Conduct a test for homogeneity at a 5% level of significance. French Toast Pancakes Waffles Omelettes Men 47 35 28 53 Women 65 59 55 60
A psychologist would like to know whether the season (autumn, winter, spring, and summer) has arny consistent effecat on people's sexual activity. In the middle of each sason, a psychologist selects a random sample of n = 26 studerts. Cach individual is given a sexual activity questionnaire. A one-factor ANOVA was used to analyze these data. Complete the following, ANOVA summary lable (a = 0.05). Round values for SS and MS to 3 decimal places as needed. Round p-value to 4 decimal places. Source ss df MS IP Between Within 1394 TOTAL With the given significance level, what is the decision regarding the hypotheses? Oreject the null hypothesis Ofail to reject the null hypothesis What would you canclude about these treatments? OThere is a meaningful difference between treatments. Thus, at least one mean is different. O These data do not provide meaningful evidence of a difference between the treatments. Thus, continue to assume all means are the same.
The following table shows ceremonial ranking and type of pottery sherd for a random sample of 434 sherds at an archaeological location. Decorated Jar Sherds (Noncooking) Ceremonial Ranking Cooking Jar Sherds Row Total A 89 46 135 89 56 145 74 80 154 Column Total 252 182 434 n USE SALT Use a chi-square test to determine if ceremonial ranking and pottery type are independent at the 0.05 level of significance. (a) What is the level of significance? State the null and alternate hypotheses. O Họ: Ceremonial ranking and pottery type are not independent. H,: Ceremonial ranking and pottery type are independent. O Ho: Ceremonial ranking and pottery type are independent. H,: Ceremonial ranking and pottery type are independent. O Ho: Ceremonial ranking and pottery type are not independent. H,: Ceremonial ranking and pottery type are not independent. O Ho: Ceremonial ranking and pottery type are independent. H,: Ceremonial ranking and pottery type are not independent. (b) Find the value of the…
Hi! I'm confused on this question. (See picture). Any help is appreciated!