8. Measurement of total organic carbon in surface water is carried out within oneweek shows the following results:Day toConcentration12.1521.853.3544.452.3565.6572.1581.9593.55102.25110.55121.45132.45143.45151.85Calculate: The average value and its uncertainty with confidence intervals of 95%, 90%, and99%.3.LO

The confidence interval is the combined value of sample statistics with margin of error. It is used…

Answered: 8. Measurement of total organic carbon…

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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Suppose you computed r = 0.563 using n = 31 data points. Using the critical values table below, determine if the value of r is significant or not. df 1 2 3 4 5 6 7 8 9 10 CV (+ and -) 0.997 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 Select the correct answer below: df 11 12 13 14 15 16 17 18 19 20 CV (+ and -) 0.555 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.433 0.423 df 21 22 23 24 25 26 27 28 29 30 CV (+ and -) 0.413 0.404 0.396 0.388 0.381 0.374 0.367 0.361 0.355 0.349 r is significant because it is between the positive and negative critical values. r is not significant because it is between the positive and negative critical values. r is significant because it is not between the positive and negative critical values. r is not significant because it is not between the positive and negative critical values. df 40 50 60 70 80 90 100 CV (+ and -) 0.304 0.273 0.250 0.232 0.217 0.205 0.195
Please answer the following question and show work
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 43 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.5 feet. At α=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. The critical value(s) is/are Find the standardized test statistic z for μ1−μ2.
State the t critical value that would be used for a 99% interval based on a sample size of 37.
2. To investigate the effect of pH and catalyst concentration on product viscosity (sSt). Two levels of pH were used 5.6 and 5.9 and two catalyst concentration 2.5 and 2.7. Four products were tested with each combination of pH and catalyst. a. Use the estimate table below to test for main effects and interaction using a = 0.05. What are your conclusions? Predictor Constant Coefficient SDCoeff 191.563 165.49 pH 2.937 1.158 2.52 Catalyst -0.062 1.158 -0.05 pH*Catalyst 5.812 1.158 5.02 b. What is the value for the overall average viscosity? c. Write the regression model for this experiment. d. Below the interaction plot for the experiment. Discuss the information provided by the plot. To maximize viscosity what would be the recommended setting? Interaction Plot for Viscosity Data Mears 200 195 190- 185 Catalyst Concentration Mean Product Viscosity (cSt)
A town believes the depth of a nearby river is 12 feet. The table below is of depth samples taken over 9-days. 10.8 11.9 12.6 12.4 11.7 10.9 12.4 12.8 11.9 A researcher believes that the depth is different than 12 ft. At the 94% level, find: Is this left, right, or two tailed Put left, right, two List the critical value(s) separate with a comma if needed What is the test statistic What is the p-value Where is the test statistic on the graph (left, middle, right)
6.12. The net weight (in oz) of a dry bleach product is to be monitored by ī and R control charts using a sam- ple size of n = 5. Data for 20 preliminary samples are shown in Table 6E.7. (a) Set up ī and R control charts using these data. Does the process exhibit statistical control? (b) Estimate the process mean and standard deviation. (c) Does fill weight seem to follow a normal distri- bution? (d) If the specifications are at 16.2 ± 0.5, what conclusions would you draw about process capability? (e) What fraction of containers produced by this process is likely to be below the lower specifi- cation limit of 15.7 oz?
1. The data in Table 7–6 were collected in a clinical trial to evaluate a new compound designed to improve wound healing in trauma patients. The new compound was com- pared against a placebo. After treatment for 5 days with the new compound or placebo, the extent of wound healing was measured. Is there a difference in the extent of wound healing between the treatments? (Hint: Are treatment and the percent wound healing independent?) Run the appropriate test at a 5% level of significance. Use the data in Problem 1. Pool the data across the treatments into one sample of size n = 250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. Specifically, use the following distribution 30%, 40%, 20%, and 10% and a = 0.05 to run the appropriate test. Percent Wound Healing Treatment 0-25% 26-50% 51-75% 76-100% New compound (n=125) 15 37 32 41 Placebo (n=125) 36 45 34 10
Need only a handwritten solution only (not a typed one).
Table 1. Critical Values from N(0,1) Distribution One-sided 1.29 1.645 2.33 1. 10% 5% 1% Two-sided 1.645 1.96 2.575 Question 1 Are the following statements true or false? Circle A or B to indicate whether each statement is true or false. Low R² in an estimated regression model indicates that changes in independent variables do not have an important effect on the dependent variable. A. True B. False

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