Problems 1 - 4 share the same summaries presented in the table below. Two groups of students, graduates and undergraduates, were subject to comparative studies. Their individual grades are assumed to be normal with unknown parameters. Respondents were selected independently and their sample summaries are presented in the table below. Group Size Mean = X Variance = S2 v = S² /n Graduate nį = 10 | (X)1 = 85.1 (S²)1 = 40 v1 = 10 = 4 Undergraduate n2 = 10 (X)2 = 70.9 (S2)2 = 600 V2 = = 60 For all hypothesis testing problems, you are supposed to show your conclusions in the standardized form as follows. 1. Test statistic value 2. Critical values required 3. State rejection rule explaining what you decide 4. The decision such as "yes, reject the null" or "not enough evidence for rejection" Deriving confidence intervals, please show critical values needed and present your interval in the form UCL = LCL =

Problems 1 - 4 share the same summaries presented in the table below. Two groups of students, graduates and undergraduates, were subject to comparative studies. Their individual grades are assumed to be normal with unknown parameters. Respondents were selected independently and their sample summaries are presented in the table below. Group Size Mean = X Variance = S2 v = S² /n Graduate nį = 10 | (X)1 = 85.1 (S²)1 = 40 v1 = 10 = 4 Undergraduate n2 = 10 (X)2 = 70.9 (S2)2 = 600 V2 = = 60 For all hypothesis testing problems, you are supposed to show your conclusions in the standardized form as follows. 1. Test statistic value 2. Critical values required 3. State rejection rule explaining what you decide 4. The decision such as "yes, reject the null" or "not enough evidence for rejection" Deriving confidence intervals, please show critical values needed and present your interval in the form UCL = LCL =

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Description: **Problems 1 - 4: Summary and Hypothesis Testing Instructions**Two groups of students, graduates and undergraduates, were subject to a comparative study. Their individual grades are assumed to be normally distributed with unknown parameters. The sam

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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Question 6 In a random sample of 12 adults each of them ate 100 g of dark chocolate and in another random sample of 15 adults each of them ate 100 g of mik cho plasma antioxidant capacity was measured and the summary statistics are given below. Sample mean Sample standard deviation Dark chocolate (DC) Milk chocolate (MC) 171.5 6.8 165.0 7.2 At 5% significance level do the data provide sufficient evidence that dark chocolate produces different mean level of total blood plasmà antioxidant c Assume that the population distributions are normal with equal variance. a. The alternative hypothesis is H1: Pparkc (/ +) HMIKC b. The test statistic t= (round at two decimal places) c. The degrees of freedom (d.f.) = d. The critical value of the test = (do not round up). than the critical value, we (accept/reject) e. As the test statistic is (less/greater) produce different mean level of total blood plasma antioxidant capa that dark chocolate (does/does not) -tailed test. f. The above test is a…
The electric cooperative needs to know the mean household usage of electricity by its non-commercial customers in kWh per day. They would like the estimate to have a maximum error of 0.14 kWh. A previous study found that for an average family the variance is 4.84 kWh and the mean is 19.1 kWh per day. If they are using a 80% level of confidence, how large of a sample is required to estimate the mean usage of electricity? Question 8 options: 45 households 1959 households 949 housholds 405 households
Step 1 of 3. State the null and alternative hypotheses for the test. Step 2 of 3. Compute the value of the test statistic. Round your answer to three decimal places Step 3 of 3. Draw a conclusion and interpret the decision.
QUESTION 1 Manama cement factory produces precast cement blocks, last year's record showed the mean weight per block as 21.05 KG. This year they have sampled 50 units, and the maximum acceptable weight per block was 29.85, with a variance of 13.51 KG. Calculate the z value associated with this sample? (Write your answer in 2 decimals places e.g. 0.99)
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Please use ANOVA
Can you please help with this problem.