I want to explain these outputs? is ofetbjectsStatistst of Eween-ent TFresh_weightBased on MeanBased on MedianBased on Median andwith adjusted dfLevene's Test of Equality of Error Variancesa,bLeveneStatisticSourceCorrected ModelInterceptTreatmentDependent Variable: Fresh_weightType III Sumof Squares26.805203.76226.666TypeTreatment TypeErrorTotal.0002498.928240.38235.732Tests of Between-Subjects Effectsdf914146.4405.7675.767Based on trimmed mean6.2569290.000Tests the null hypothesis that the error variance of the dependent variable is equal across groups.a. Dependent variable: Fresh_weightb. Design: Intercept + Treatment + Type + Treatment * Type290300299df1Mean Square2.978203.7626.666.000.062.031Corrected Totala. R Squared= .750 (Adjusted R Squared= .742)99996.7426618.681216.540df2.0042.024290290202.690Sig.Sig..000.000.000.948.091.000.000.000Partial EtaSquared.750.958749.000027 ctsistof Een-atmEstimated Marginal Means1.201.00.806040208.00OmaniEstimated Marginal Means of Fresh_weightTypeImproveTreatmentcontrol3dS6dS19dS12dS

Levene's Test of Equality of Error Variances: Null Hypothesis: H0: The error variance of the…

Answered: I want to explain these outputs

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

A maker of electric vehicles wants to estimate the meandistance travelled between charges for all the electric carsmade at a new plant. The firm selects a sample of 40 cars forthis study, and finds that the cars in the sample averagedabout 100 miles between charges. From prior studies, thestandard deviation for the distance between charges isknown to be about 20 miles. Construct a 90% confidenceinterval estimate of the average distance travelled betweencharges for all the cars from the new plant.
The number of entrees purchased in a single order at a Noodles & Company restaurant has had a historical average of 2.15 entrees per order. On a particular Saturday afternoon, a random sample of 48 Noodles orders had a mean number of entrees equal to 2.4 with a standard deviation equal to 0.84. At the 2 percent level of significance, does this sample show that the average number of entrees per order was greater than expected? (a) Choose the correct null and alternative hypotheses. H0: μ ≥ 2.15 vs. H1: μ < 2.15 H0: μ ≤ 2.15 vs. H1: μ > 2.15 H0: μ = 2.15 vs. H1: μ ≠ 2.15 a b c (b-1) Calculate the t statistic. (Round your answer to 2 decimal places.) tcalc Not attempted (b-2) Find the p-value. (Round your answer to 4 decimal places.) p-value Not attempted (c) Choose the correct conclusion. Because the p-value is less than 0.02, we conclude that there is evidence to indicate a significant increase in the average number of…
Two suppliers manufacture plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in an average of 290 with a standard deviation of 12, while another random sample of 16 gears from the second supplier results in an average of 321 with a standard deviation of 22. Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use α = 0.05, and assume that both populations are normally distributed. State the null and alternative hypotheses.
a consumer advocay group tests the mean vitamin c content of 50 different brands of bottled juices using, in each case, a t-test of significance in which the null hypothesis is the mean amount of vitamin c that is on the nutrition facts label for that brand of juice. they find that two of the juice brands have statistically signifanctly lower vitamin c than claimed at the a 0.05 level. Is this an important discovery? Explain.
Handy Glass Pty has found that 25% of customers in its client base are located inGauteng. A sample of 130 customers is randomly selected. Assuming normaldistribution:Determine the standard error for this sample.
A random sample of 40 companies with assets over $10 million was surveyed and asked to indicate their industry and annual computer technology expense. The ANOVA comparing the average computer technology expenses among three industries rejected the null hypothesis. The mean square error (MSE) was 209. The following table summarizes the results: Education Tax Services Food Services Number Sampled 10 14 16 Mean Expense (1,000,000s) 16 43.5 48 When comparing the mean annual computer technology expenses for companies in the tax services and education industries, which of the following 95% confidence intervals can be constructed? Select one: a. 27.5 ± 2.021 × 5.986 b. 27.5 ± 2.026 × 27.96 c. 27.5 ± 2.021 × 27.9 d. 27.5 ± 2.026 × 5.986
The sales rep of a waterbed claims that 25% of the Filipino died because of cardiovascular diseases. A researcher wants to test this claim. A hospital record shows that out of a random sample of 200 dead patients, 55 patients died because of cardiovascular diseases. Does the data provide sufficient evidence to support the claim of the sales rep? Use 0.03 level of significance.
A random sample of 40 companies with assets over $10 million was surveyed and asked to indicate their industry and annual computer technology expense. The ANOVA comparing the average computer technology expenses among three industries rejected the null hypothesis. The mean square error (MSE) was 211. The following table summarizes the results: Education Tax Services Food Services Number Sampled 10 14 16 Mean Expense (1,000,000s) 18 47.5 52 When comparing the mean annual computer technology expenses for companies in the tax services and education industries, which of the following 95% confidence intervals can be constructed? Multiple Choice 29.5 ± 2.026 × 6.014 29.5 ± 2.021 × 6.014 29.5 ± 2.026 × 29.96 29.5 ± 2.021 × 29.9
A researcher was interested in comparing the amount of time (in hours) spent working out by women and by men. Independent simple random samples of 14 women and 17 men were selected, and each person was asked how many hours he or she worked out during the previous week. The summary statistics are as follows. Test the claim, using a 99% CI, that the mean amount of time spent working out by women is smaller than the mean amount of time spent by men. Assume the variables are approximately normally distributed. Mean Std dev Sample size Women 17.8 hrs 2.9 hr 24 Men 19.5 hrs 6.2 hrs 27
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 130 engines and the mean pressure was4.4lbs/square inch. Assume the variance is known to be 0.49 . If the valve was designed to produce a mean pressure of4.3lbs/squareinch, is there sufficient evidence at the 0.02 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario.
A coin operated drink machine was designed to discharge a mean of 9 ounces of coffee per cup. In a test of the machine, the discharge amounts in 17 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample deviation were 9.19 ounces and 0.28 ounces respectively. If we assume that the discharge amounts are normally distributed,is there enough evidence, at the 0.05 level of significance to conclude that the true mean discharge differs from 9 ounces? Perform a two tailed test and complete the parts below
It is believed that Lake Tahoe Community College (LTCC) Intermediate Algebra students get more than 7 hours of sleep per night, on average. A survey of 22 LTCC Intermediate Algebra students generated a mean of 7.24 hours with a standard deviation of 1.93 hours. At a level of significance of 5%, do LTCC Intermediate Algebra students get more than 7 hours of sleep per night, on average? The Type II error is not to reject that the mean number of hours of sleep LTCC students get per night is at most seven when, in fact, the mean number of hours is ________ 7 hours.

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS