The following data are product weights for the same items produced on two different production lines. Test for a difference between the product weights for the two lines. Use a = 0.05.What is the value of the test statistic? Enter negative value as negative number.-2.78 (to 2 decimals)What is the p-value for the hypothesis test?0.0116 (to 4 decimals)What is your conclusion?Line 113.114.414.214.413.313.313.414.213.113.5Line 214.115.114.013.915.014.014.814.114.114.414.013.8

The item is produced on two different production lines.Level of significance,

Answered: The following data are product weights…

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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During a weight loss study, each of eight subjects were given a diet for 4 months. Use the table, which shows the weight for the ten subjects before and after having the diet for 4 months, to answer the following questions. Refer to chart below. What is the standard error of the mean difference? What is the standardized test statistic ts? pound 1 2 3 4 5 6 7 8 Mean SD Weight after 4 months 168 177 196 180 229 144 197 252 192.88 34.34 Original weight 185 194 213 198 244 162 211 273 210 34.77 Difference -17 -17 -17 -18 -15 -18 -14 -21 -17.13 2.10
Samples of starting annual salaries for individuals entering the public accounting and financial planning professions follow. Annual salaries are shown in thousands of dollars. Public Accountant 51.2 59.8 56.3 58.2 55.2 56.0 51.9 60.5 57.0 50.9 Financial Planner 50.0 49.2 54.1 56.9 50.9 53.6 Find the value of the test statistic. W = 75.50 X 49.7 53.9 51.8 48.9 (a) Use a 0.05 level of significance and test the hypothesis that there is no difference between the starting annual salaries of public accountants and financial planners. State the null and alternative hypotheses. O Ho: The two populations of salaries are not identical. H₂: The two populations of salaries are identical. O Ho: Median salary for public accountants - Median salary for financial planners 20 H₂: Median salary for public accountants - Median salary for financial planners 0 O Ho: Median salary for public accountants - Median salary for financial planners > 0 H₂: ₂: Median salary for public accountants - Median salary…
Weights (kg) of poplar trees were obtained from trees planted in a rich and moist region. The trees were given different treatments identified in the accompanying table. Use a 0.05 significance level to test the claim that the four treatment categories yield poplar trees with the same mean weight. Is there a treatment that appears to be most effective? LOADING... Click the icon to view the data table of the poplar weights. No Treatment Fertilizer Irrigation Fertilizer and Irrigation 1.24 0.99 0.09 0.93 0.65 0.94 0.63 1.41 0.41 0.55 0.13 1.06 0.15 0.51 0.88 1.49 1.31 1.01 0.84 Determine the null and alternative hypotheses. H0: ▼ mu 1 greater than mu 2 greater than mu 3 greater than mu 4μ1>μ2>μ3>μ4 Exactly two of the population means are equal.Exactly two of the population means are equal. Not all of the population means are equal.Not all of the population means…
Does Hypnotism Relieve Pain? The table shows the pain levels of patients before and after hypnotism. Pain level is measured on a cm scale. Assume that the two samples are randomly selected. At the 0.05 significance level, test the claim that the mean difference has increased after hypnotism.(Be sure to subtract in the same direction).
sed on data from WHO, a representative sample of 11-year-old males could consist of the following 15 values. 15.7, 16.0, 13.9, 15.3, 18.6, 14.8, 17.7, 16.6, 18.1, 19.2, 16.3, 17.3, 16.9, 25.6, 20.4 using the data calculate the 85th per
Use the data below to test the claim that the weight loss was greater with the low fat diet compared to the low carbohydrate diet. Use a 5% level of significance. Low Fat Low Carbohydrate X = 4.71b X = 3.51b S1 = 7.21b "ị = 77 S1 = 6.91b n = 52 1. Identify the tail of the test. [ Select] 2. What is the P-value? [ Select] 3. Will the null hypothesis be rejected? [Select ] 4. Is the initial claim supported? [ Select]
Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region C have the highest mean, can we conclude that brown rice from region C poses the greatest health problem? view the data table of the arsenic amounts. Arsenic Amounts (micrograms) A 4.9 4.9 4.9 5.2 5.3 5.5 5.6 5.7 5.8 5.9 6.1 6.3 B 2.3 3.6 4.5 4.6 4.8 4.8 4.8 5.1 5.1 5.4 5.4 5.5 C 5.7 5.7 6.7 6.9 7.1 7.2 7.2 7.3 7.3 7.4 7.5 7.6 What are the hypotheses to test? H0: mu 1 equals mu 2 equals mu 3μ1=μ2=μ3 H1: At least one…
The mean price of a cup of coffee in Portland, OR is $3.94. The owner of a new coffee house believes that the mean price of coffee is different in their neighborhood. A sample of 8 coffee prices from other local coffee shops in their area are shown below. Price 4.2 2.15 3.35 3.5 2.25 2.4 3.9 3.4 Test the claim that mean price of a cup of coffee is not equal to $3.94 using a 5% level of significance. Assume that the coffee prices are normally distributed. Give answers to at least 2 decimal places. a) Fill in the hypotheses below: H0: H1: b) The p-value is 0.0234. The correct decision is to: The correct summary would be: sufficient, insufficient or not enough evidence to reject the claim
HW help
Name 2 similarities and 2 differences between one-way between-subjects ANOVA and one-way within-subjects ANOVA (i.e., one-way repeated measure ANOVA).
Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region Ahave the highest mean, can we conclude that brown rice from region A poses the greatest health problem? Arsenic Amounts (micrograms) A 5.8 5.8 6.5 6.5 6.9 7.2 7.3 7.3 7.6 7.6 7.9 7.9 B 4.5 4.9 5.2 5.2 5.5 5.8 5.8 5.9 6.3 6.3 6.4 6.4 C 1.8 3.7 4.1 4.1 4.6 4.6 4.8 5.1 5.2 5.6 5.7 5.7 The Test statistic is: The P-value is: The conclusion is:

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