The following sample data give the flexural strength (MPa) for concretebeams of a certain type.7.3, 6.3, 6.8, 7.0, 7.6, 6.8, 7.0, 6.3, 7.9, 9.0, 7.8, 9.7, 7.8,11.6, 11.8, 10.7Calculate a point estimate of the strength value tat separates theweakest 50% of all such beams from the strongest 50%, and state whichestimator you used.O î = 7.70O ã = 8.21O T = 8.21O ã = 7.70

The data values given are: 7.3, 6.3, 6.8, 7.0, 7.6, 6.8, 7.0, 6.3, 7.9, 9.0, 7.8, 9.7, 7.8, 11.6,…

Answered: The following sample data give the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The Wind Mountain excavation site in New Mexico is an important archaeological location of the ancient Native American Anasazi culture. The following data represent depths (in cm) below surface grade at which significant artifacts were discovered at this site (Reference: A.I. Woosley and A.J. McIntyre, Mimbres Mogollon Archaeology, University of New Mexico Press).87, 47, 77, 62, 92, 92, 117, 32, 57, 60, 80, 122, 82, 67, 67, 142, 67, 52, 32, 127, 77, 139, 82, 122, 17, 47, 72, 67, 52, 47, 97, 72, 72, 30, 42, 127, 107, 77, 82, 72, 92, 70, 75, 77, 57, 72, 97, 67, 202, 77, 17, 92, 48, 35, 102, 67, 62, 57, 87, 52, 12, 70, 101, 147, 47, 77, 47, 97, 87, 67, 67, 54, 84Construct the Class Frequency Distribution Table for the data above with 10 classes.
*View attached photo (commuting times) and answer the following questions. TY!* The commuting times (in minutes) of randomly selected employees at Neiman Marcus are recorded in the attached photo. A) Construct a histogram for commuting times and describe the shape of the distribution. B)Construct a box-and-whisker plot and then compares it to your histogram in Part A. C)Find the skewness and kurtosis of commuting times. Does your results support your observation in part a and b.
The data that appears below are the weights (in pounds) of 15 packages of ground beef in Supermax supermarket refrigerators: 1.28, .90, 1.29, 1.15, .93, 1.18, .89, 1.12, 2.33, 1.94, 2.14, 2.6, 1.11, 1.9, 1.2 (Mendenhall et al., 2015).a) Construct a stem-and-leaf plot to show the distribution of these weights.b) Find the mean and standard deviation of the data set.
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An article gave the data, shown in the table below, on dimensions of 27 representative food products. Product Material Height MaximumWidth MinimumWidth Elongation Volume 1 glass 7.7 2.50 1.80 1.50 121 2 glass 6.2 2.90 2.70 1.07 133 3 glass 8.5 2.15 2.00 1.98 180 4 glass 10.4 2.90 2.60 1.79 281 5 plastic 8.0 3.20 3.15 1.25 325 6 glass 8.7 2.00 1.80 2.17 86 7 glass 10.2 1.60 1.50 3.19 120 8 plastic 10.5 4.80 3.80 1.09 520 9 plastic 3.4 5.90 5.00 0.29 335 10 plastic 6.9 5.80 4.75 0.59 575 11 tin 10.9 2.90 2.80 1.88 343 12 plastic 9.7 2.45 2.10 1.98 174 13 glass 10.1 2.60 2.20 1.94 237 14 glass 13.0 2.60 2.60 2.50 242 15 glass 13.0 2.70 2.60 2.41 360 16 glass 11.0 3.10 2.90 1.77 313 17 cardboard 8.7 5.10 5.10 0.85 633 18 cardboard 17.1 10.20 10.20 0.84 1245 19 glass 16.5 3.50 3.50 2.36 646 20 glass 16.5 2.70 1.20 3.06 300 21 glass 9.7 3.00 1.70 1.62 319 22 glass 17.8 2.70 1.75 3.30 303 23 glass 14.0 2.50 1.70 2.80 250 24 glass 13.6 2.40…
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. What conclusion can you draw after carrying out this test?
A ski gondola carries skiers to the top of a mountain. Assume that weights of skiers are normally distributed with a mean of 197 lb and a standard deviation of 43 lb. The gondola has a stated capacity of 25 passengers, and the gondola is rated for a load limit of 3750 Ib. Complete parts (a) through (d) below. a. Given that the gondola is rated for a load limit of 3750 lb, what is the maximum mean weight of the passengers if the gondola is filled to the stated capacity of 25 passengers? The maximum mean weight is Ib. (Type an integer or a decimal. Do not round.) b. If the gondola is filled with 25 randomly selected skiers, what is the probability that their mean weight exceeds the value from part (a)? The probability is (Round to four decimal places as needed.) c. If the weight assumptions were revised so that the new capacity became 20 passengers and the gondola is filled with 20 randomly selected skiers, what is the probability that their mean weight exceeds 187.5 lb, which is the…
The table below shows the distribution of weight of a certain type of fruit. weight frequency <10 4 <15 3 <20 23 <25 54 <30 16 <35 9 <40 7 <45 4 1) Draw the histogram of the data and use it to estimate the model weight. 2) calculate mean, median and interquartile range.
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Can you help me with d?
An article gave the data, shown in the table below, on dimensions of 27 representative food products. Product Material Height MaximumWidth MinimumWidth Elongation Volume 1 glass 7.7 2.50 1.80 1.50 121 2 glass 6.2 2.90 2.70 1.07 139 3 glass 8.5 2.15 2.00 1.98 178 4 glass 10.4 2.90 2.60 1.79 288 5 plastic 8.0 3.20 3.15 1.25 328 6 glass 8.7 2.00 1.80 2.17 94 7 glass 10.2 1.60 1.50 3.19 115 8 plastic 10.5 4.80 3.80 1.09 517 9 plastic 3.4 5.90 5.00 0.29 332 10 plastic 6.9 5.80 4.75 0.59 567 11 tin 10.9 2.90 2.80 1.88 340 12 plastic 9.7 2.45 2.10 1.98 177 13 glass 10.1 2.60 2.20 1.94 236 14 glass 13.0 2.60 2.60 2.50 237 15 glass 13.0 2.70 2.60 2.41 358 16 glass 11.0 3.10 2.90 1.77 314 17 cardboard 8.7 5.10 5.10 0.85 635 18 cardboard 17.1 10.20 10.20 0.84 1250 19 glass 16.5 3.50 3.50 2.36 651 20 glass 16.5 2.70 1.20 3.06 300 21 glass 9.7 3.00 1.70 1.62 312 22 glass 17.8 2.70 1.75 3.30 303 23 glass 14.0 2.50 1.70 2.80 247 24 glass 13.6 2.40…
Rivets. A company that manufactures rivets believesthe shear strength of the rivets they manufacture followsa Normal model with a mean breaking strength of 950pounds and a standard deviation of 40 pounds.a) What percentage of rivets selected at random willbreak when tested under a 900-pound load? b) You’re trying to improve the rivets and want to exam-ine some that fail. Use a simulation to estimate how many rivets you might need to test in order to findthree that fail at 900 pounds (or below).

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