8) The following data shows the yield, in bushels per acre, categorized according to threevarieties of corn and three different soil conditions. Assume that yields are not affected byan interaction between variety and soil conditions, and test the null hypothesis that varietyhas no effect on yield. Use a 0.05 significance level.Variety 1Variety 2Variety 3Plot 1156, 167,170, 162172, 176,166, 179175, 157,179, 178Plot 2162, 160,169, 168179, 186,160, 176178, 170,172, 174Plot 3145, 151,148, 155161, 162,165, 170169, 165,170, 169

The problem involves a one-way ANOVA, which is a statistical method used to test for significant…

Answered: The following data shows the yield, in…

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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Use the following sample data for variables y and x to complete parts a through c. 48 68 83 79 53 89 82 44 93 5 6 96 D 6 4 3 4 6 4 4 2 a. Develop a scatter plot for these data and describe what, if any, relationship exists. b. (1) Compute the correlation coefficient. (2) Test to determine whether the correlation is significant at the significance level of 0.10. Conduct this hypothesis test using the p-value approach. (3) Compute the regression equation based on these sample data and interpret the regression coefficients. c. Test the significance of the overall regression model using a significance level equal to 0.10. a. Choose the correct graph below. O A. B. Oc. OD. 150 150 150T 150 ---- There appears to be V linear relationship between x and y. b. First compute the c |(Round to is needed.) r= no Now test to determine on is significant at the signifi tested. a positive A. Ho: ρ 0, H. a negative b. First compute the correlation coefficient r. r= (Round to three decimal places as…
find : c ) Does data provide evid. of an association between age and opinion of brand? Justify your answer.
You may need to use the appropriate technology to answer this question. The better-selling candies are often high in calories. Assume that the following data show the calorie content from samples of M&M's, Kit Kat, and Milky Way candies. M&M's Kit Kat Milky Way 250 245 200 210 205 208 220 235 202 240 215 190 250 230 180 Test for significant differences among the calorie content of these three candies. State the null and alternative hypotheses. H0: All populations of calories are identical.Ha: Not all populations of calories are identical.H0: Not all populations of calories are identical.Ha: All populations of calories are identical. H0: MedianMM ≠ MedianKK ≠ MedianMWHa: MedianMM = MedianKK = MedianMWH0: MedianMM = MedianKK = MedianMWHa: MedianMM > MedianKK > MedianMWH0: MedianMM = MedianKK = MedianMWHa: MedianMM ≠ MedianKK ≠ MedianMW Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer…
If one wishes to assess the relation between a farming county's average annual temperature and the crop yield, it may be important to take into account the overlapping variability that crop yield and temperature share with rainfall. To do so, one would compute a: a. partial correlation. b. split-half reliability. c. concurrent validity. d. coefficient alpha.
The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a =0.01. Welght, x Varlablity in braking distance, y 5960 5390 6500 5100 5870 4800 2 1.75 1.95 1.93 1.57 1.64 1.50 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: P Vo Hạ: p Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical values are -to = and to = O B. The critical value is. Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? a significant linear correlation between vehicle weight and variability in braking distance on a dry surface. There Venough evidence…
6.34 Barking deer. Microhabitat factors associated with forage and bed sites of barking deer in Hainan Island, China were examined. In this region woods make up 4.8% of the land, cultivated grass plot makes up 14.7%, and deciduous forests make up 39.6%. Of the 426 sites where the deer forage, 4 were categorized as woods, 16 as cultivated grassplot, and 61 as deciduous forests. The table below summarizes these data.39 Woods Cultivated grassplot Deciduous forests Other Total 4 16 61 345 426 (a) Write the hypotheses for testing if barking deer prefer to forage in cer- tain habitats over others. (b) What type of test can we use to answer this research question? (c) Check if the assumptions and conditions required for this test are sat- isfied. (d) Do these data provide convincing evidence that barking deer prefer to forage in certain habitats over others? Conduct an appropriate hypoth- esis test to answer this research question. Photo by Shrikant Rao (http://flic.kr/p/4Xjdkk) CC BY 2.0…
2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows: Reward Size Small Medium Large 1 4 6 4 3 5 1 4 4 2 5 T = 13 SS = 2.75 T= 6 T= 20 SS = 9 SS = 2 EX2 = 165 a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests. b. Compute eta-squared to measure the effect size.

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