Lab 6 Pre Lab 1

Please help Matlab, as well needs to be on excel data sheet.  P14.19 You perform experiments and determine the following values of heat capacity cat various temperatures T for a gas:I) For c, determine (a) the mean, (b) median, (c) mode, (d) range, (e) standarddeviation, (f) variance, and (g) coefficient of variation.II) Using linregr given function, fit the data using a straight line (determine a1,a0, r2). Plot the data and the regression curve.III) Using polyfit command, fit the data using a quadratic curve (determine a2, a1, a0).Plot the data and the regression curve.IV) Using linregr given function, fit the data using exponential model (determineα, β, r2). Plot the data and the regression curve in the T-c space (not the T-log(c)space) T -50      -30    0      60       90   110 C 1250 1280 1350 1480  1580  1700

A one-fortieth-scale model of a ship’s propeller is tested in a tow tank at 1250 r/min and exhibits a power output of 1.9 ft·lbf/s.  According to Froude scaling laws, what should the revolutions per minute of the prototype propeller be under dynamically similar conditions? According to Froude scaling laws, what should the horsepower output of the prototype propeller be under dynamically similar conditions?

The processing of raw coal involves “washing,” in which coal ash (nonorganic, incombustible material) is removed. The article “Quantifying Sampling Precision for Coal Ash Using Gy’s Discrete Model of the Fundamental Error” (Journal of Coal Quality, 1989:33–39) provides data relating the percentage of ash to the volume of a coal particle. The average percentage of ash for six volumes of coal particles was measured. The data are as follows: Volume (cm3) 0.01 0.06 0.58 2.24 15.55 276.02 Percent ash 3.32 4.05 5.69 7.06 8.17 9.36     Using the most appropriate model, predict the percent ash for particles with a volume of 48 cm3. Round answer to three decimal places.   * the answer i got was of 6.260 was wrong

Use dimentional analysis to evaluate that in a problem involving shallow water waves (figure 6), both the Froude number and the Reynold's number are relevant dimensionless parameters. The wave speed, c of waves on the surface of a liquid is a function of depth h, gravitational acceleration g, fluid density, p and fluid viscosity μ. Manipulate your II's to get the parameters into the following form:   Fr = c/(gh)1/2= f(Re) , where Re  = pch/μ

The heat transfer between a solid body and a fluid medium is determined by the equation Q=h·A·(Ts-Tf). Here; Q is the amount of heat transferred, h is the heat transfer coefficient, A is the heat transfer surface area, Ts is the temperature of the surface and Tf is the temperature of the fluid. These parameters were measured as h=250±1.75 W/m2ºC, A=20±0.75 m2, Ts =100±0.75ºC and Tf =25±0.75ºC, including error levels. What is the total uncertainty in the amount of heat transferred, in ±%? a. 3.98 b. 4.07 c. 2.73 d. 2.95 e. 3.88

About supervised machine learning, in the context of Linear Regression; Decision tree; Logistics Regresion; Randon forest and neural network, which metrics should be used to know if a classification model is good and why use them? What about regression, what metrics are used to say how good the model is? What is the best for each case?

4) If two variables are highly correlated, does this imply that changes in one cause changes in the other? If not, give at least one example from the real world-that illustrates what else could cause a high correlation.

Materials of Interest: CuFeS, in a silica matrix, 1.5% Cu (4.3318% CuFeS,); Top Size = 1.5 cm; CuFeS, grain size = 0.01 cm Desired sampling accuracy: +0.02% Cu, certainty of 0.99 (2.576 standard deviations) CuFeS, specific gravity=4.2: Overall specific gravity 2.8 Broad size distribution. Determine the minimum sample weight (in grams) needed for testing.

Cardiologists use the short-range scaling exponent α1, which measures the randomness of heart rate patterns, as a tool to assess risk of heart attack. The article “Applying Fractal Analysis to Short Sets of Heart Rate Variability Data” compared values of α1 computed from long series of measurements (approximately 40,000 heartbeats) with those estimated from the first 300 beats to determine how well the long-term measurement (y) could be predicted the short-term one (x). Following are the data (obtained by digitizing a graph).  Short Long 0.54 0.55 1.02 0.79 1.4 0.81 0.88 0.9 1.68 1.05 1.16 1.05 0.82 1.05 0.93 1.07 1.26 1.1 1.18 1.19 0.81 1.19 0.81 1.2 1.28 1.23 1.18 1.23 0.71 1.24   Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the data set given for this problem in the text.     Compute the least-squares line for predicting the long-term measurement from the short-term measurement.…

As an industrial engineer, you intend to use linear trend (or linear regression) method to solve a forecasting problem. You have decided to use the equation of y = m(x) + c to establish the relationship between the sales (y) and the related month (x). It is known that 8 consecutive months data (Jan to Aug) were used and they resulted to the following parameter values of m = 320 and c = 1017. Using the regression technique, estimate the percentage of sales improvement from December this year to June next year.

A _____system uses measurements of disturbance variables to position the manipulated variable in such a way as to minimize any resulting deviation. The disturbance variables could be either measured loads or the set point, the former being more common.

Hello Sir.Good night.Permission, i have a question in my homework related numerical methods lesson. The following bellow is question. Please advice. Thank you so much Regards,Irfan Mention the types of problems that exist in the field of engineering, especially mechanical engineering that can be solved by the linear regression method

The variables do not vary with respect to time is called as ___________________ a. Dynamic characteristics b. Random Error  c. Systematic Error d. Static characteristics

Forecast sales for the 7th period. For leveling, use exponential smoothing 0.20 and moving average 3 for averaging; and linear and exponential functions for trend data. Assume an initial exponential forecast of 60 units in period 2 if you decide to use it (i.e., no forecast for period 1).     Period Demand 1 67 2 72 3 68 4 20 5 70 6 66 7 68

Pierce (1948) mechanically measured the frequency (the number of wing vibrations per second) of chirps (or pulses of sound) made by a striped ground cricket, at various ground temperatures. Since crickets are ectotherms (cold-blooded), the rate of their philosophical processes and their overall metabolism are influenced by temperature. Consequently, there is a reason to believe that temperature would have a profound affect on aspects of their behavior, such as chirp frequency. In general, it was found that crickets did not sing at temperatures colder than 60°F or warmer than 100°F. In the following data let X= chirps/sec for the striped ground cricket and Y= temperature in degrees of Fahrenheit.  X   19      19.8        18.4     17.1     15.5    14.7     17.1    15.4    16.2    15   17.2    16     17     14.4 Y    71.6     93.3    84.3    80.6     75.2    69.7    82     69.4    83.3     79.6    82.6     80.6     83.5    76.3 a. use two decimal places: Y bar =? b. use two decimal…

11.8 The functional frequency η of a stretched string is a function of the string length L, its diameter D, the mass density ⍴, and the applied tensile force T. Suggest a set of dimensionless parameters relating these variables.

1) To ensure complete similarity, the model and prototype must be  a) same material b) similar geometric and all independent groups are match c) same geometric d) in same fluid 2) Temperature is a dimension, kelvin is a unit. True or False

Multiple choice questions. Choose correct answer 1. Sampling is used because A) it increases the data quality B) the processing of entire data can be time-consuming C) it reduces dimensionality D) it helps find missing data Answer: 2) Correlation coefficient is always in the range A) 0 to 1 B) -1 to 1    C) 0 to 100    D) 1 to 2   Answer: True or False. Choose correct answer 3. Regression analysis is used to predict a value of a continuous valued variable. Answer:

The following table presents the highway gasoline mileage performance and engine displacement for Audi vehicles for model year 2005. a) (5 Pts.) Fit simple linear model. Test for significance of the regression using alpha=0.05. Find the p-value for this test. What conclusions you can reach? b) (5 Pts.) Test Ho: P₁= -0.05 versus H₁: ₁

A dam spillway is to be tested using Froude scaling with a 1:20 model. The model flow has an average velocity of 0.7 m/s. What is the velocity of prototype?

Q=What is the importance of regression analysis in transportation engineering? ANSWER in word fomat

For the calibration data of given below, (a) determine the static sensitivity of the system, (b) find the maximum nonlinearity, (c) find the value of the threshold. X (cm) 0.5 1.0 (cm) 0.4 1.0 5.0 10 15 20 25 30 35 40 45 50 6.9 15.8 24.7 36.4 49.9 60.3 75.1 87.0 98.9 110.1

The fuel gage for a gasoline tank in a car reads proportional to its bottom gage. The tank is 35 cm deep and accidentally contaminated with 3 cm of water. Specific gravity of gasoline is 0.68. If the tank has a uniform horizontal cross-sectional area of 0.45 m2, how many liters of gasoline are required to fill the tank? Select the correct response: 9.53 L 7.41 L 6.35L 8.47L The fuel gage for a gasoline tank in a car reads proportional to its bottom gage. The tank is 35 cm deep and accidentally contaminated with 3 cm of water. Specific gravity of gasoline is 0.68. What is the gage reading when the tank is filled with gasoline? Select the correct response 2.87 kPa 2.11 kPa 2.56 kPa 2.34 kPa

In the field of air pollution control, one often needs to sample the quality of a moving airstream. In such measurements a sampling probe is aligned with the flow as sketched in Fig. A suction pump draws air through the probe at volume flow rate V· as sketched. For accurate sampling, the air speed through the probe should be the same as that of the airstream (isokinetic sampling). However, if the applied suction is too large, as sketched in Fig, the air speed through the probe is greater than that of the airstream (super iso kinetic sampling). For simplicity consider a two-dimensional case in which the sampling probe height is h = 4.58 mm and its width is W = 39.5 mm. The values of the stream function corresponding to the lower and upper dividing streamlines are ?l = 0.093 m2/s and ?u = 0.150 m2/s, respectively. Calculate the volume flow rate through the probe (in units of m3/s) and the average speed of the air sucked through the probe.