b.) calculate the critical valuesc.) determine the p-value A transportation agency would like to compare the average amount of time it takes passengers to pass through airport security at two locations during peak times. The following table summarizes in minutes the results of two random samples from each airport. Use the table tocomplete parts a through c.Sample meanSample standard deviationSample sizeLocation 1 Location 214.511.65.54.62429Ca. Perform a hypothesis test using a = 0.05 to determine if the average time to pass through security in location 1 is more than the average time to pass through security in location 2. Assume the population variances for time through security at these two locations are equal.Determine the null and alternative hypotheses for the test.Ho Hy Hy ≤ 0H₁ H₁ H₂ > 0Calculate the appropriate test statistic and interpret the result.The test statistic is(Round to two decimal places as needed.)

The sample size for location 1 is 24 and location 2 is 29. The sample mean for location 1 is 14.5…

Answered: A transportation agency would like to…

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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Let A and B represent two variants (alleles) of the DNA at a certain locus on the genome. Let p represent the proportion of alleles in a population that are of type A, and let q represent the proportion of alleles that are of type B. The Hardy–Weinberg equilibrium principle states that the proportion PAB of organisms that are of type AB is equal to pq. In a population survey of a particular species, the proportion of alleles of type A is estimated to be 0.360 ± 0.048 and the proportion of alleles of type B is independently estimated to be 0.250 ± 0.043. a) Estimate the proportion of organisms that are of type AB, and find the uncertainty in the estimate. b) Find the relative uncertainty in the estimated proportion. c) Which would provide a greater reduction in the uncertainty in the proportion: reducing the uncertainty in the type A proportion to 0.02 or reducing the uncertainty in the type B proportion to 0.02?
12 Find the critical value tc for a 90% Con fidence lever When the Sampre Size iS 24.
1. Consider the following list of Xi, Y; values: Using the above data, determine if the following equations are true or false. (a) Σ 5X;Y; = 5Σ XY; = (b) Σ XY; = ΣΧ. ΣΥ (0) Σ* = 2x (d) Σ(Υ; + 3) = (ΣΥ;) + 3 X Y 1 2 2 4 3 6 (e) (ΣΥ;)2 = ΣΥ
The following activities are part of a project to be scheduled using CPM: TIME (WEEKS) ACTIVITY A B с D E F G IMMEDIATE PREDECESSOR A A C 4 Number of weeks B&media:cm.png% D D E&media:cm.png8 F a. What is the critical path? O A-C-D-E-G O A-B-D-F-G OA-C-D-F-G A-B-E-G 3 q 8 3 5 b. How many weeks will it take to complete the project?
9
Consider the following data on the number of minutes (x) that 10 persons spent on social media during office hours and their productivity level (y): Xi 10 29 54 63 70 76 88 91 108 118 Yi 92 72 59 50 49 48 38 25 14 9 A linear model was fitted using the statistical software R, producing the following output: Coefficients: (Intercept) 98.81082 -0.75263 Estimate Std. Error t value Pr(>|t|) 29.8 1.74e-09 *** -17.6 1.1le-07 *** 3.31574 0.04277 Signif. codes: 0 ***' 0.001 **** 0.01 0.05 .' 0.1 1 Residual standard error: 4.304 on 8 degrees of freedom Multiple R-squared: 0.9748, F-statistic: 309.7 on 1 and 8 DF, Adjusted R-squared: p-value: 1.11e-07 0.9717 (a) Obtain the equation of the estimated regression line. (b) Interpret the slope coefficient. (c) Discuss whether the simple linear regression model obtained does a good job of explaining observed variation in productivity level. (d) Perform a model utility test using a = 0.01. Use an appropriate P-value from the output given. (Note: R uses…
1. A machine produces metal pieces that are cylindrical in shape. A sample of these pieces is taken and the diameters are found to be 1.01, 0.97, 1.03, 1.04, 0.99, 0.98, 0.99, 1.01, and 1.03 centimeters. Use these data to calculate three interval types and draw interpretations that illustrate the distinction between them in the context of the system. For all computations, assume an approximately normal distribution. The sample mean and standard deviation for the given data are ¯x = 1.0056 and s = 0.0246. (a) Find a 99% confidence interval on the mean diameter. (b) Compute a 99% prediction interval on ameasured diameter of a single metal piece taken from the machine. (c) Find the 99% tolerance limits that will contain 95% of the metal pieces produced by this machine.
1 3 Calculate (r+y)e drdy 0 2
Table 1.1 (below) is a record of the travelling times of the time taken for ten (10) employees to deliver packages, to ten (10) of their distribution centres in Trinidad. These centres are located in Chaguanas (I), Arima (II), Sangre Grande (III), Princes Town (IV), Manzanilla (V), Rio Claro (VI), San Juan (VII), Point Fortin(VIII), San Fernando (IX) and Port of Spain (X). Worker Worker 1 Worker 2 Worker 3 Worker 4 Worker 5 Worker 6 Worker 7 Worker 8 Worker 9 Worker 10 I 26 30 29 26 29 27 25 30 25 25 II 40 45 30 32 37 37 42 41 41 40 Table 1.1 - Employee Travelling time (minutes) III 27 30 20 25 27 30 30 26 29 23 IV 35 32 32 30 31 30 35 28 36 30 V 39 35 30 36 35 36 30 30 40 38 Area VI 70 75 83 80 85 90 69 87 90 88 VII 30 30 34 29 27 30 34 28 30 32 VIII 75 79 80 75 76 69 66 67 78 68 IX 63 62 62 60 60 57 58 58 60 62 X 30 32 30 29 30 35 36 37 34 28
Thirty data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bx. The computer output from the regression analysis is DEPENDENT VARIABLE: R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 30 0.5300 13.79 0.0009 VARIABLE PARAMETER STANDARD T-RATIO P-VALUE ESTIMATE ERROR INTERCEPT 93.54 46.210 2.02 0.0526 |-3.25 0.875 |-3.71 0.0009 At the 1% level of significance, the critical t-value for the test is (Write the numbers as they are, do not round them)
i need MCQ solution
An industrial concern has experimented with several different mixtures of the fourcomponents—magnesium, sodium nitrate, strontium nitrate, and a binder—that comprise arocket propellant. The company has found that two mixtures, in particular, give higher flare illumination values than the others. Mixture 1 consists of a blend composed of the proportions.40, .10, .42, and .08, respectively, for the four components of the mixture; mixture 2 consists ofa blend using the proportions .60, .25, .10, and .05. Twenty different blends (10 of each mixture)are prepared and tested to obtain the flare-illumination values. These data appear here (in unitsof 1,000 candles).Mixture 1 185 192 201 215 170 190 175 172 198 202Mixture 2 221 210 215 202 204 196 225 230 214 217a. Plot the sample data. Which test(s) could be used to compare the meanillumination values for the two mixtures?b. Give the level of significance of the test and interpret your findings

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