Но:H1:Zcri =Zcom =comparisonComputation:DR:Conclusion: 10. Two types of rice varieties are being considered for yield and a comparison is needed. Thirtyhectares were planted with the rice varieties exposed to fairly uniform growing conditions. Theresults are tabulated below:Variety AVariety BAverage yield80 sacks/hectare35 sacks/hectareSample variance5.912.1Sample size1825At 0.05 significance level, can we conclude that variety A is the better type?Ho:Н1:=

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Answered: 10. Two types of rice varieties are…

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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Question © Answered step-by-step 1.Two types of rice varieties are being considered for yield and a.. 1. Two types of rice varieties are being considered for yield and a comparison is needed. Thirty hectares were planted with the rice varieties exposed to fairly uniform growing conditions. The results are obtained as follows: Variety A Variety B Average Yield 80 sacks/hectare 35 sacks/hectare Sample variance 5.9 12.1 At 0.05 significance level, can we conclude that variety A is the better type? Math Statistics and Probability GSAR 202
Three brands of bacon such as Poorfoods, Sweeps and COD are tested for a fat content with the following sample results: (step by step solution, without using excel) BRAND FAT CONTENT (%) TOTAL Poorfoods 40 43 40 40 43 206 Sweeps 41 42 35 38 34 190 COD 40 35 36 33 36 180 Perform the appropriate test procedure determining whether or not there are differences in the mean fat content of the three bacon brands at 5% level of significance. Ho: Ha: Decision Rule: Computation: ANOVA TABLE: Sources ofVariation Degrees of Freedom Sum of Squares Mean of Sum of Squares F-computed Decision: Conclusion:
A researcher wanted to test whether there is a relationship between preferred sweet (Oreo cookies, Mars bars, or Twinkies) and age group (children, adolescents, or young adults). To test that, subjects from the three age groups were asked which of the three sweets they preferred. Which statistical test should be used to analyze the data? 1. chi square test of independece 2. chi square test for goodness of fit 3. one sample t test 4. one way anova test
If the sample size is 30 and the mean score for football players are 5.6, mean score for basketball players are 7.8, and mean score for baseball players are 4.8, what is the SS between of this study?
Which of these experimental designs has the most statistical power (is more likely to show a true difference between 2 treatment conditions)? A. Between-Subjects B. Descriptive Study C. Correlational Study D. Within-Subjects
1. Sample question: Calculate an independent samples t test for the following data sets: Data set A: 1,2,2,3,3,4,4,5,5,6 Data set B: 1,2,4,5,5,5,6,6,7,9 2. Using the following data perform a significance test to compare the means of strains A and B and comment on the results obtained. Strain A: Ex = 281 mn, n=10, Ex'= 8854.0 Σ= 9482.0 Strain B: Ex=272 mn, n= 8, 3. With the help a suitable test find out the significant differences between two samples. Number of organisms/culture: Sample 1 Sample 2 45 127 86 56 77 49 106 74 61 98 92 45 68 33 88 61 4. Paired t-test with following data Subject # Score 1 Score 2 3 20 2 3 13 3 3 13 4 12 20 15 29 16 32 7 17 23 8 19 20 9 23 25 10 24 15 11 32 30
Scientists measured the amount of drug in tablets produced at two different, independent sites. Scientists want to know whether there is any difference between the mean drug concentration in tablets produced at Site 1 and Site 2. Run the appropriate test in Excel, assuming the population variances are equal. Use an a = .05 significance level. Submit the...
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. Arandom sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 335 No 314 392 344 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Select an answer Select an answer v (please enter a decimal and note that Họ: Select an answer p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) H1: Select an answer Select an answer Select an answer | (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ?a e. Based on this, we should Select an answer f.…
a) Work this problem manually (by hand) using the procedures and formulas for ANOVA to check if the Population Means for flying time before major maintenance is required are the same for the three types of aircraft. To help you, Sample Means and Sample Variances have been calculated below for you: Airbus Boeing737 Boeing 787 6.4 8.7 9.9 7.8 7.4 12.8 5.3 9.4 12.1 7.4 10.1 10.8 8.4 9.2 11.3 7.3 9.8 11.5 __________________________________________________________________ Sample Mean 7.1…
Periodically, customers of a financial services company are asked to evaluate the company's financial consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. Assume the population variances are unequal. Consultant A Consultant B n1 = 16 n2 10 X1 = 6,81 X2 = 6.25 %3D S1 = 0.68 S2 = 0.75 (a) State the null and alternative hypotheses. O Hoi H1 - H2 = 0 Hai H1- Hz>0 O Ho: H1 - 42 = 0 Hại H1 - H2# 0 O Ho: H1 - H2 > 0 %3D Ha: H1 - H2 = 0 O Ho: H1 - Hz # 0 Hai Hy - Hz = 0 Hoi H1 - H2 = Hai H1- H2 = 0 (b) Compute the value of the test statistic. (Round your answer to three decimal places.) 19.191 (c) What is the p-value?…
Suppose you computed r=-0.524 with 20 data points. Is r significant? Explain. 0.05 significance level. Your Answer:
One-way ANOVA: Check NEON data set, and download data of a variable from five locations. 1) Please test whether the means of the variable are different among all locations. 2) If there is significance, please test significant differences among locations using multiple comparison. Plants are sampled from three treatment plots and measured for biomass. In treatment A plot, biomass of plants: 5, 7, 4, 5, 6, 8, 9, 10; In treatment B plot, biomass of plants: 8, 10, 9, 6, 5, 12, 9, 11. In treatment C plot, biomass: 12, 14,15, 18, 16, 12, 11, 15. Please test whether there is a treatment effect. If there is, please conduct multiple comparison.

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