explain/interpret thoroughly the three (3) SPSS result Independent VariableX8 - Technical SupportModel Variables Entered1X8 - Technical Supportaa. All requested variables entered.b. Dependent Variable: X19 - SatisfactionVariables Entered/RemovedbModelVariables Removed MethodEnterModel SummaryModel R R Square Adjusted R Square Std. Error of the Estimate113².0131.19031.003a. Predictors: (Constant), X8 - Technical Support1 (Constant)Dependent VariableModel1 RegressionResidualTotala. Predictors: (Constant), X8 - Technical Supportb. Dependent Variable: X19 - SatisfactionSum of SquaresX19 SatisfactionANOVADdf Mean Square F1.783 1138.845 98140.628 99UnstandardizedCoefficientsB6.448X8 - Technical .088Supporta. Dependent Variable: X19 - SatisfactionCoefficientsaStd. Error.436.078Sig.1.783 1.258 265ª1.417StandardizedCoefficientsBetal.113t14.7911.122Sig..000265Independent VariableX10 - AdvertisingVariables Entered/RemovedModel Variables Entered Variables Removed Method1 X10 - AdvertisingEntera. All requested variables entered.b. Dependent Variable: X19 - SatisfactionModel R R Square1305a.093a. Predictors: (Constant), X10 - AdvertisingModelModel1 RegressionResidualTotala. Predictors: (Constant), X10 - Advertisingb. Dependent Variable: X19 - SatisfactionModel SummaryAdjusted R Square.0841 (Constant)13.054 1127.574 98140.628 99Dependent VariableANOVADSum of Squares df Mean Square FCoefficientsaX19 - SatisfactionUnstandardizedCoefficientsStd. Error424.102B5.626322X10 - Advertisinga. Dependent Variable: X19 - SatisfactionStd. Error of the Estimate1.1410Sig.13.054 10.027 .002a1.302StandardizedCoefficientsBeta.305t Sig.13.279 .000.0023.167Independent VariableX12 - Salesforce ImageModel Variables Entered1a. All requested variables entered.X12 - Salesforce Image³b. Dependent Variable: X19 - SatisfactionModelVariables Entered/Removedb1 (Constant)Dependent VariableModel SummaryModel R R Square Adjusted R Square Std. Error of the Estimate1.500²250.243a. Predictors: (Constant), X12 - Salesforce Image1.0373X19 - SatisfactionModel1 RegressionResidualTotala. Predictors: (Constant), X12 - Salesforce Imageb. Dependent Variable: X19 - SatisfactionVariables Removed MethodEnterANOVASum of Squares df Mean Square F Sig.35.186 135.186 32.702 .000a1.076105.442 98140.628 99B4.070.556X12 - SalesforceImagea. Dependent Variable: X19 -SatisfactionUnstandardizedCoefficientsStd. Error509097CoefficientsªStandardizedCoefficientsBetat8.000.500 5.719Sig..000.000

Anova is the type of statistical test. It compares the mean significance between the three or more…

Answered: explain/interpret thoroughly the three…

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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Windy, part III Exercises 12 and 14 give summaries anddisplays for two potential sites for a wind turbine. Testan appropriate hypothesis to see if there is evidence thateither of these sites has a higher average wind speed.
Q3 A researcher wish to compare four manufacturing methods on the breaking strength of plastic. Four types of machines are used in this experiment. He believed that machines have an effect on the plastics breaking strength. However, each machine can operate only three methods during the experiments on a given day. Table Q3 shows the data of the experiment. Table Q3: Four manufacturing methods on the breaking strength of plastic Manufacturing Methods Machine 2 1 A=73 C=73 D=75 2 A=74 B=75 C=75 3 B=67 C=68 D=72 4 A=71 В-72 D=75 What is the name of the design? Write an appropriate statistical model then list the assumptions and identify the terms. (a) (b) Is this design symmetric ? Justify your answer. State if the design balance or not. Discuss how to achieve balance in this design ? Justify your answer. (c) (d) Test the hypothesis at a = 0.05 whether there is an effect of the four manufacturing methods on the breaking strength of plastics.
The term "factor" in an experimental design is another name for the O independent variable dependent variable extraneous variables experimental design itself
How is the hatching of water python eggs influenced by the temperature of the snake's nest? Researchers randomly assigned newly laid eggs to one of three water temperatures: hot, neutral, or cold. Hot duplicates the extra warmth provided by the mother python, and cold duplicates the absence of the mother. The table shows the result of the experiment. The researchers will use a chi-square test for homogeneity to analyze the findings. Hatching status Yes No Total Cold 16 11 27 Water Temperature Neutral Hot 38 75 18 56 104 Total 129 58 187 Which of the following is false? All of the conditions are met for conducting a chi- square test for homogeneity. The data came from 3 groups in a randomized experiment. All expected counts are at least 5. The 10% condition is met. The 10% condition is not needed because the eggs were not randomly selected from the population. Incorrect
A worm in my apple-Codling moths are a devastating insect pest for apples. Each spring, adult moths lay their eggs on or around developing appies. When the eggs hatch the larva, or wom, tunnels into the apple, where they feed on the fruit and develop for three to five weeks. Cain has developed a scanning machine to detect the presence of larvae in appies. If the apple is infested with larvae, the machine reports a positive result 84.3% of the time. If the apple is not infested, the machine reports a negative result 64.6% of the time Round all answers to 4 decimal places 1. Suppose that 8.2% of apples in an orchard are infested with larvae. Assume a theoretical population of 10,000 apples and construct the contingency table for this scenario Test Negative Infested Not infested Total Test Positive 2. What proportion of apples will test positive for larvae infestation? 3. What proportion of apples that test positive for larvae infestation would we expect to not actually be infested with…
What is the empirical formula for C10H2005? O C₂H5O O CH,O OCHO3 OCHO OC₂H₂O Submit Provide Feedback Request Answer
Using the accompanying New Account Processing data, perform chi-square tests for independence to determine if certification is independent of gender and if certification is independent of having prior industry background. Click the icon to view the New Account Processing data. - x Find the hypotheses for the chi-square test for independence to determine if certification is independent of gender. H: Certification and Gender are independent New Account Processing Data H₁ Certification and Gender are dependent Perform the chi-square test for independence to determine if certification is independent of gender. Compute the chi-square statistic. (Type an integer or decimal rounded to two decimal places as needed.) Gender Certified Prior Background M Y F Y Y M Y N N Y M F N Y Y Y Y Y Y N N F N Y M Y N M Y N F N Y N N F N Y M Y Y M N Y M N N M N Y Print Done
Answer: Z-test = 3.78, reject Ho
The director of student recruitment is interested in the ACT scores for the incoming Freshmen class. A group of 300 students is surveyed and the research finds that these students have an average ACT score of 21. For this study, the average of 21 is an example of a(n) ___________.
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While rejecting H0 on a hypothesis test means that _______, measures of effect size tell you ______. how big an effect the treatment has; that the treatment has some effect that the treatment has some effect; how big an effect the treatment has that the treatment caused an increase; that the treatment caused a decrease d. that the treatment caused a decrease; that the treatment caused an increase
Comparing the mea Español On each trial of an experiment, a participant is presented with a constant soft noise that is interrupted by a slightly louder sound. The time it takes for the participant to react to the louder sound is recorded. The following list contains the reaction times (in milliseconds) for 25 trials of this experiment. 190, 202, 212, 221, 243, 250, 257, 271, 288, 288, 288, 309, 311, 315, 323, 335, 359, 364, 388, 418, 440, 476, 526, 603, 756 Send data to calculator Frequency ↑ 124 10- 8+ 64 4- 24 04 150 11 Send data to Excel Answer the questions below. 10 2 300 450 600 Reaction time (in milliseconds) (a) Which measures of central tendency do not exist for this data set? Choose all that apply. Check (b) Suppose that the measurement 190 (the smallest measurement in the data set) were replaced by 72. Which measures of central tendency would be affected by the change? Choose all that apply. (c) Suppose that, starting with the original data set, the largest measurement were…

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