For the data below, test the hypothesis Ho', at 0.05 level of significance, that there is no difference in the average yield of wheat when different kinds of fertilizer are used. Also test the hypothesis Ho", that there is no difference in the average yield of the three varieties of wheat. Yields of Wheat in Kilograms per Plot Fertilizer Variety of Wheaty Total Treatment V1 V2 V3 t 64 72 74 210 55 57 47 159 t3 59 66 58 183 t. 58 57 53 168 Total 236 252 232 720

For the data below, test the hypothesis Ho', at 0.05 level of significance, that there is no difference in the average yield of wheat when different kinds of fertilizer are used. Also test the hypothesis Ho", that there is no difference in the average yield of the three varieties of wheat. Yields of Wheat in Kilograms per Plot Fertilizer Variety of Wheaty Total Treatment V1 V2 V3 t 64 72 74 210 55 57 47 159 t3 59 66 58 183 t. 58 57 53 168 Total 236 252 232 720

Name: For the data below, test the hypothesis Ho', at 0.05 level of signifi
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: For the data below, test the hypothesis Ho', at 0.05 level of significance, that there is nodifference in the average yield of wheat when different kinds of fertilizer are used. Also test thehypothesis Ho", that there is no difference in the average

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

mean of the process is the estimate developed in part (a). Twenty-five samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 25 samples, a total of 135 items were found to be defective. What is an estimate of the proportion defective when the process is in control? b. a. What is the standard error of the proportion if samples of size 100 will be used for statistical process control? Compute the upper and lower control limits for the control chart. C.
A company in the FMCG category wanted to test whether different package sizes of their floor cleaning liquid have an impact on sales. The different package sizes were 500ml, 1L, 2L, and 2.5 L. The company conducted Research in Mumbai and the results of the research are presented in the following table. `Source of variation Sum of squares Degrees of freedom Mean squares F-Ratio P-value Between groups ? ? ? 5.321 0.005 Within groups ? ? 1.387 Total 60.976 31 a). Identify the type of design. b) Fill in the spaces in the blank. c) Find out the number of observations. d) State the null and alternate hypotheses. e) What conclusion can be drawn from the table.
16
The data in personalities is bivariate normally distributed Carry out a formal t-test for the association between extroversion and neuroticism in personalities H0: The population correlation coefficient is 0. HA: The population correlation coefficient is not 0. What is the value of the t-statistic corresponding to this test? Carry out a formal t-test for the association between extroversion and neuroticism in personalities. H0: The population correlation coefficient is 0. HA: The population correlation coefficient is not 0. What is the critical value of the t-statistic required to reject the null hypothesis at a confidence level of 0.05
2. To investigate the effect of pH and catalyst concentration on product viscosity (sSt). Two levels of pH were used 5.6 and 5.9 and two catalyst concentration 2.5 and 2.7. Four products were tested with each combination of pH and catalyst. a. Use the estimate table below to test for main effects and interaction using a = 0.05. What are your conclusions? Predictor Constant Coefficient SDCoeff 191.563 165.49 pH 2.937 1.158 2.52 Catalyst -0.062 1.158 -0.05 pH*Catalyst 5.812 1.158 5.02 b. What is the value for the overall average viscosity? c. Write the regression model for this experiment. d. Below the interaction plot for the experiment. Discuss the information provided by the plot. To maximize viscosity what would be the recommended setting? Interaction Plot for Viscosity Data Mears 200 195 190- 185 Catalyst Concentration Mean Product Viscosity (cSt)
The output table below represents the results of the estimation of household expenditures (Y) and income (X) in thousand dollars. Considering the output table below, answer the following questions. Dependent Variable: Y Method: Least Squares Date: 12/28/16 Time: 15:29 Sample: 2000 2010 Included observations: 11 Variable Coefficient Std. Error t-Statistic Prob. C 0.229334 2.938536 0.078044 0.9395 X 0.354833 0.024783 14.31783 0.0000 R-squared 0.957944 Mean dependent var 37.45455 Adjusted R-squared 0.953271 S.D. dependent var 21.01125 S.E. of regression 4.541976 Akaike info criterion 6.027567 Sum squared resid 185.6659 Schwarz criterion 6.099911 Log likelihood -31.15162 Hannan-Quinn criter. 5.981964…
The output table below represents the results of the estimation of household expenditures (Y) and income (X) in thousand dollars. Considering the output table below, answer the following questions. Dependent Variable: Y Method: Least Squares Date: 12/28/16 Time: 15:29 Sample: 2000 2010 Included observations: 11 Variable Coefficient Std. Error t-Statistic Prob. C 0.229334 2.938536 0.078044 0.9395 X 0.354833 0.024783 14.31783 0.0000 R-squared 0.957944 Mean dependent var 37.45455 Adjusted R-squared 0.953271 S.D. dependent var 21.01125 S.E. of regression 4.541976 Akaike info criterion 6.027567 Sum squared resid 185.6659 Schwarz criterion 6.099911 Log likelihood -31.15162 Hannan-Quinn criter. 5.981964…
The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the coefficient of determination? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total df 0.98706 0.974288 0.972145 8.106794 Coefficients 14 1 12 13 SS 29883.07 788.6412 30671.71 Standard Error Intercept 1.518053 Admissions 0.668591 OA) is the value of Expenses with one unit increase in Admissions 3.248929 0.031354 MS 29883.07 65.7201 t Stat 0.467247 21.32375 F 454.7022 P-value 0.648693 6.59E-11 Significance F 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.736907
Quality control at a soda bottler suspects that the variance in the mean volume of bottles of soda being filled by the bottler is intolerably high. In a sample of 14 bottles, the sample variance is 1.5 ml. Use this sample to test Ho: o? = 1.2 against H:0? > 1.2 at a = 0.05. a) Find the critical value or values for this test. b) Find the value of the test statistic. c) Give your decision in terms of the null hypothesis.