(а)The Government of Melaka has provided funding assistance to qualified entrepreneurs toensure the entrepreneurs can successfully grow their business and provide employmentopportunities. Based on data obtained in 2020, there were 250 for small and 102 formedium industries in Melaka were selected for the funding. The results are summarized asin Table 1.Table 1: Percentage of financing assistance for small and medium industriesSmallMediumSample size, n250102percent82.5%78%Test the hypothesis at 5% level of significance that there is sufficient evidence to indicatethe proportion of financing assistance have been awarded a significant different betweensmall and medium industries.

In order to determine whether the population proportion of financing assistance have been awarded is…

Answered: The Government of Melaka has provided…

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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5. Consider the partially completed ANOVA summary table below. Source df SS MS Regression 1 700 Residual Total 8 1100 a. Complete the remaining entries in the table. b. Calculate the sample coefficient of determination. C. Using a=0.05, is there a significant relationship between two variables?
1. Conduct a two-sample t-test at a 1% level of significance to find out if the U.S. stock returns significantly outperform the U.S. corporate bond returns using the monthly data covering the sample period 1980-2019. I don't understand why my observation(sample n =479) and df= 660 on the summary output, please explain if anything is possibly put wrong......
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:
6) A researcher is interested in whether women like Justin Bieber's music more than men. The extent to which people liked Bieber's music was measured on a 10 point scale ranging from 1 = do not like at all, to 10 like Justin Bieber's music more than men (alpha = .05). very much like. Using the data below, please determine whether women Women Men 7 4 8 7 4 a) What type statistical analysis should you perform? Please explain your rationale b) Please state the null and alternative hypotheses c) Please write out the results (t-value, df, p-value) and make a decision d) Please make a general conclusion (no stats talk)
In 2019 Chicago Hope Hospital hired new nurses from two top universities in the country. After one year, the hospital conducts a simple study to analyse whether there is a significant difference in regard to the performance of the nurses who graduated from the two universities. Considering the maximum performance score of 100, the following is the result of independent sampling of the nurses’ performance scores. Assume the scores are not normally distributed. Table attached Question: What statistical method can be applied for this study? Explain your answer
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
3. An experiment was performed to test the ability of five different surface passivation methods to prevent corrosion on steel parts. The parts were exposed to an accelerated corrosive environment and then a chemical assay was used to measure how much corrosion had occured. The data are given in the associated Excel data file. a. Plot the data to assess the ANOVA assumptions. What evidence do you see for biases between geometries? b. Use one-way ANOVA to test for differences between the geometries. In addition to the ANOVA F test p value, report the standard error, the adjusted coeffecient of determination, and interpret the residuals diagnostic plots. c. Use Tukey's multiple comparisons test to test for differences between all possible pairs of geometries. Report the grouping information table, the table of tests and confidence intervals, and the interval plot of differences between the means. Interpret the reports (all together, i.e. not individually).
1. A study is to perform a one-way ANOVA where the researcher considered a single independent variable with five (5) categories or groups and seven (7) observations or data values in each group. a. How many degrees of freedom are there in determining the variation among groups? b. How many degrees of freedom are there in determining the variation within group? c. How many degrees of freedom are there in determining the total variation?
The milk yield from two breeds of goats, A and B, is categorised as low, medium or high. One hundred goats in a random sample are classified according to breed and milk yield. The results are summarised in the table below. i. Explain the difference between a test of independence and a test of homogeneity ii. Perform a chi squared test, at the 95% of significance level, to determine whether there is an association between the breed of goats and the milk yield.
Determine the appropriate test to use from the four choices in photo then test the hypothesis under 5% significance level.
8. Because of the popularity of movies as an entertainment medium for college students, you plan to do a national study of the average cost of a movie ticket. If you assume that o= $0.50, what sample size would you have to take to be 95% confident that your estimate was within $0.25 of the true mean ticket prices? %3D
Suppose in a two-way ANOVA table,the total sample size N is 30, factor Ahas 3 levels, and the degrees of freedom for interaction is 8. What is the degrees of freedom for error?

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