4. The daily dissolved oxygen concentration (DO) for a location A downstream froman industrial plant has been recorded for the past 10 consecutive days as tabulatedbelow.a. Suppose the minimum concentration of DO required by the EPA is 2.0mg/L. Perform a hypothesis test to determine whether the stream qualitysatisfies the EPA standard at the significance level of 5%. What can youconclude?b. Determine the 95% confidence interval for the true mean DOconcentration. State any assumptions you are making in constructing thisinterval.DO (mg/L)Day11.822.141.751.26.2.372.58.2.99.1.9102.2

Answered: inimum concentration of DO required by…

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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If the observed concentration readings are 2.56, 2.67, 2.06, 2.68, and 2.43, determine 95% confidence interval for the mean concentration for the following two conditions: a) assuming variance (σ2) = 0.04 b) the variance is not known
Create and interpret the following tests using the following data: confidence interval, t-test, p-value and F- test Y = weekly sales X = advertisement cost Model: Y = 2.6911 -0.4795 X SE (0.1216) SE (0.1140) HO: b0 = 0 a = 0.05 tcrit = 2.2622 RSS = 33.27 H1: b0 + 0 n = 11 ESS = 8552.73
7.2.14 Question Help In a test of the effectiveness of garlic for lowering cholesterol, 42 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes (before - after) in their levels of LDL cholesterol (in mg/dL) have a mean of 2.9 and a standard deviation of 16.7. Construct a 95% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of garlic in reducing LDL cholesterol? Click here to view a t distribution table. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. What is the confidence interval estimate of the population mean µ? mg/dL < µ
Salma claimed that the gas price in Blue Park neighborhood (mean of $3.65) is higher than that in Green Spring (mean of $3.59). She obtained the t-value of 2.223 after calculating data from 6 gas stations in Blue Park and 5 gas stations in Green Spring. Use the chart below and determine if Salma's claim is supported! Table 10-3. Critical values of "t" significance level p= 0.05 significance level p= 0.01 TP 1 12.706 63.657 2 4.303 9.925 3 3.182 5.841 2.776 4.604 5 2.571 4.032 6 2.447 3.707 7 2.365 3.499 2.306 3.355 9 2.262 3.250 10 2.228 3.169 11 2.201 3.106 Copy the following into your text box, fill in the blanks, and answer the questions A. The degree of freedom is: B. The t-calculated value is: and the t-critical value is : C. Comparison: t-calc t-crit (answer with ()) D. Is the null hypothesis accepted or rejected? Explain how you determined that! Also, explain what it means to reject or accept the hypothesis! E. Explain if Salma's claim is supported based on your t-value…
Using 0.05 level of significance and assuming that the data is normally distributed: • Test the claim which tells that the mean weight is greater than 147 pounds. Additionally, construct a 95% confidence interval for the mean weight of the respondents.
6. Using your standardized regression coefficients in the fullest model, explain which variables have the most impact on the respondents’ educational attainment. 7. Interpret the regression coefficient for PAEDUC from the fullest model. 9. Interpret the constant 10. Interpret the regression coefficient for NonWhite 11. Interpret the regression coefficient for Female
please answer the question below to 4 decimal places
You may need to use the appropriate appendix table or technology to answer this question. Given are five observations for two variables, x and y. (Round your answers to two decimal places.) xi 3 12 6 20 14 yi 55 40 55 10 15 (a) Estimate the standard deviation of ŷ* when x = 11. (b) Develop a 95% confidence interval for the expected value of y when x = 11. to (c) Estimate the standard deviation of an individual value of y when x = 11. (d) Develop a 95% prediction interval for y when x = 11. to
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