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- One estimate of the proportion of children with autism in the United States is 1 in 100 (Source: http://www.cbsnews.com/stories/2009/10/05/health/main5363192.shtml). Suppose you are interested in the rate of autism among current school-aged children in Utah. You collect a sample of 400 children between the ages of 5 and 18 and find that three have had a previous diagnosis of an autism disorder. You plan to calculate a 95% confidence interval estimator of the proportion of school-aged children in Utah who have ever had a diagnosis of an autism disorder. Which of the following is the most likely reason you would use a Wilson estimator to calculate the confidence interval estimator? It is uncomfortable to define having been diagnosed with autism as a success. It is possible that if even the actual proportion in Utah is 1%, your sample may only have very few children who have had a previous diagnosis of an autism disorder. It is an easier way to calculate the confidence…arrow_forwardIn an experiment to compare the tensile strengths of I = 6 different types of copper wire, J = 5 samples of each type were used. The between-samples and within-samples estimates of σ² were computed as MSTr = 2623.3 and MSE = 1193.2, respectively. Use the F test at level 0.05 to test Ho: μ₁ = M2 μ6 versus Ha: at least two μ's are unequal. = ...= You can use the Distribution Calculators page in SALT to find critical values and/or p-values to answer parts of this question. Calculate the test statistic. (Round your answer to two decimal places.) f = What can be said about the P-value for the test? P-value>0.100 0.050 P-value < 0.100 0.010 P-value < 0.050 0.001 P-value < 0.010 P-value <0.001 State the conclusion in the problem context. Reject Ho. The data indicates there is not a difference in the mean tensile strengths. Fail to reject Ho. The data indicates a difference in the mean tensile strengths. Reject Ho. The data indicates a difference in the mean tensile strengths. Fail to reject…arrow_forwardshow step by step answerarrow_forward
- Write the given third order linear equation as an equivalent system of first order equations with initial values. Use Y1 = Y, Y2 = y', and y3 = y". - - √ (3t¹ + 3 − t³)y" — y" + (3t² + 3)y' + (3t — 3t¹) y = 1 − 3t² \y(3) = 1, y′(3) = −2, y″(3) = −3 (8) - (888) - with initial values Y = If you don't get this in 3 tries, you can get a hint.arrow_forwardThe system of first order differential equations y₁ = -4y1 - 1y2 y2 = 1y1 - 2y2 where y1(0) = −8, y2(0) = 6 has solution yı(t) = Y2(t) =arrow_forwardQuestion 2 1 pts Let A be the value of the triple integral SSS. (x³ y² z) dV where D is the region D bounded by the planes 3z + 5y = 15, 4z — 5y = 20, x = 0, x = 1, and z = 0. Then the value of sin(3A) is -0.003 0.496 -0.408 -0.420 0.384 -0.162 0.367 0.364arrow_forward
- Question 1 Let A be the value of the triple integral SSS₂ (x + 22) = 1 pts dV where D is the region in 0, y = 2, y = 2x, z = 0, and the first octant bounded by the planes x z = 1 + 2x + y. Then the value of cos(A/4) is -0.411 0.709 0.067 -0.841 0.578 -0.913 -0.908 -0.120arrow_forwardProblem 2-6. Need help on why its 1.22arrow_forwardScenario: As a data analyst for a retail company, you are tasked with examining the relationship between televisions screen size, and prices. Your analysis will involve both correlation and regression methods to quantify and interpret this relationship Make a Scatterplot of screen size vs. price. Explain in one sentence, does there appear to be a positive or a negative correlation between price and screen size? Paste a snapshot of the plot here. Please do not copy paste. Question 1: What is the value of correlation coefficient between screen size and price? Discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size. (The answer for the second part of this…arrow_forward
- In the xy-plane, the graphs of the linear function and the exponential function E both pass through the points (0,2) and (1,6) The function f is given by f(x) = L(x) - E(x). What is the maximum value of f? A 0.007 B 0.172 C 0.540 D 1.002arrow_forwardTasks: A company manufactures two electronic products: Chipsets and LCD. Each product contributes differently to the profit. The production process is subject to constraints related to labour, manufacturing space, raw materials, and production time. You are required to determine the optimal production quantities for each product to maximize profit: • Develop and formulate a Linear programming model for the variables and constraints from the above context as given in Table 1 & 2. Assume Right-Hand Side (R.H.S) values for all elements and find the maximum profit and optimal variable values using graphical method (40%). Table I Variables Chipsets Profit Per Unit Assume as per convenience and Model Fit Assume as per convenience and Model Fit dictions: On LCD Table II Constraints Labour Manufacturing Space Raw Materials Production Time Units No of Labors Square Meters Kilograms Minutes Identify the feasible region and construct the graph using the graphical method. Evaluate, present. Find…arrow_forwardvery time you conduct a hypothesis test, there are four possible outcomes of your decision to reject or not reject the null hypothesis: (1) You don’t reject the null hypothesis when it is true, (2) you reject the null hypothesis when it is true, (3) you don’t reject the null hypothesis when it is false, and (4) you reject the null hypothesis when it is false. Consider the following analogy: You are an airport security screener. For every passenger who passes through your security checkpoint, you must decide whether to select the passenger for further screening based on your assessment of whether he or she is carrying a weapon. Suppose your null hypothesis is that the passenger has a weapon. As in hypothesis testing, there are four possible outcomes of your decision: (1) You select the passenger for further inspection when the passenger has a weapon, (2) you allow the passenger to board her flight when the passenger has a weapon, (3) you select the passenger for further inspection when…arrow_forward
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