As a mechanical engineer working for an automobile manufacturer, you conduct a survey and collect the following data in order to study the performance of an engine that was designed many years ago. Plot the data and calculate the mean and standard deviation. Kilometers Driven before a Need for an Frequency Engine Maintenance 70,000 12 80,000 17 90,000 22 100,000 33 110,000 42 120,000 30 130,000 24 140,000 15 150,000 11

As a mechanical engineer working for an automobile manufacturer, you conduct a survey and collect the following data in order to study the performance of an engine that was designed many years ago. Plot the data and calculate the mean and standard deviation. Kilometers Driven before a Need for an Frequency Engine Maintenance 70,000 12 80,000 17 90,000 22 100,000 33 110,000 42 120,000 30 130,000 24 140,000 15 150,000 11

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...

See similar textbooks

Similar questions

Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
A researcher believes at 49% of people who grew up as the only child have an IQ score over 100. However, unknown to the researcher this figure is actually 50% which is the same as the general population. To attempt to find evidence for the claim, the researcher is going to take a random sample of 400 people who grew up as an only child. Let X be the proportion of people in the sample with an IQ score above 100. (a) find the mean of C (b) find the standard deviation of X (c) compute the approximation for P(x >0.49) , which is the probability that there will be 49% or more with the IQ scores over 100 in the sample. Round your answer to four decimal places. * greater than sign, is supposed to be greater than or equal to sign*
Suppose that Dietitians recently recommended a 400 cal per meal and take her children of the age of the data set. To see if both groups adhere to the guideline follow the steps to develop and test a statistical hypothesis. Test to see if us groups means are different from 400 calories. You have two data sets so you'll be completing the process twice. Use 0.05 as a level of significance and make sure to report any important statistic with your results (e.g., mean of each group, standard deviation of each group, test stastistic (are you using t or z?), rejection region and p value). Data: Children Participated Children Did Not Participate 435.16 414.61 338.99 503.46 488.73 425.22 590.28 288.77 582.59 184 635.21 299.73 249.86 350.65 441.66 394.94 572.43 261.55 357.78 295.28 396.79 139.69 298.38 462.78 282.99 179.59 368.51 301.75 388.59 436.58 256.32 371.39 408.82 469.02 424.94 378.09 477.96 287.31 428.74 448.55 432.52 332.64 428.27…
I need the answers two by step
Compute for the following problems stated below. Upload your computation for each problem. Express your final answer into 4 decimal places except for RSD which is 2 decimal places. Encircle your final answer. Compute for the following parameters: a. Mean b. Range c. Standard Deviation d. RSD e. Absolute Error f. % Relative Error 2. Group 1 of QC lab has performed the analysis of Sodium hydroxide, raw material, using 4 trials. The values obtained are 99.5%, 99.9%, 99.7% and 96.9%. Assign 100% as the target or theoretical value.
6. The magnitude (Richter scale) of earthquake along a Taiwanese fault is exponentially distributed, with A= (1/2.5). What is the probability of an earthquake exceeding magnitude 6.4? There is 1 earthquake per year (on average) along the fault with magnitude greater than 5.5. Given this, what is the probability of an earthquake during the year that exceeds magnitude 7.2?
Suppose u, and u, are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 5, x = 115.1, s, = 5.05, n = 5, y = 129.2, and s, = 5.36. Calculate a 95% CI for the difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) n USE SALT Does the interval suggest that precise information about the value of this difference is available? O Because the interval is so narrow, it appears that precise information is available. o Because the interval is so wide, it appears that precise information is not available. o Because the interval is so narrow, it appears that precise information is not available. Because the interval is so wide, it appears that precise information is available. You may need to use the appropriate table in the Appendix of Tables to answer this question.
Suppose we are modelling the spread of a disease using the SI model on a graph of degree 3. Let p be the probability that the disease spreads across an edge. Which of the following statement is true: If p=0.2, we get an epidemic that is likely to spread to many nodes. If p=0.8, we get an epidemic that is likely to die out fairly quickly. If p=0.3, the epidemic is likely to die out fairly quickly. None of these
Q.No.2 You are working for the transport manager of a "call centre" which hires cars for the staff. You are interested in the weekly distance covered by these cars. Kilometers recorded for a sample of hired cars during a given week yielded the following data: (8) k.m. covered 80-90 90-100 100-110 110-120 120-130 130-140 140-150 150-160 160-170 No. Of cars (f) 18 2 12 28 45 32 20 2 16 (a) Calculate the median, mode, third decile (D3) and P77. (b) Draw a cumulative frequency polygon (ogive) on graph paper (only) and estimate graphically the number of cars which covered less than 140 k.m in the week. Ancu er
You have the following data: Time (s) Velocity (m/s) 0.1 3.138991 0.2 3.590478 0.3 3.769523 0.4 4.499995 0.5 4.13742 0.6 3.952264 0.7 5.059469 0.8 4.607308 0.9 5.332076 15.618846 Use LINEST in EXCEL or Open Office to find the 1 sigma error on the acceleration. 0.2 m/s 3.0 m/s 2.2 m/s 0.4 m/s
An article in a magazine discussed the length of time till failure of a particular product. At the end of the product's lifetime, the time till failure is modeled using an exponential distribution with a mean of 500 thousand hours. In reliability jargon this is known as the "wear-out" distribution for the product. During its normal (useful) life, assume the product's time till failure is uniformly distributed over the range 200 thousand to 1 million hours. Complete parts a through c. a. At the end of the product's lifetime, find the probability that the product fails before 600 thousand hours. (Round to four decimal places as needed.)
6) The following figure shows that the probability of a plant flowering in 1987 was related to its initial size (as defined by leaf area) in 1984. Also, for a given-size plant, the probability of flowering declines as a function of previous allocation to reproduction (measured as the number of fruits produced during 1984-1986). Based on this figure, approximately how large (leaf area in cm3) would a plant that has produced three fruits over the last three years have to be in order to have an approximately 50% (0.50) probability of flowering? Probability of flowering in 1987 1.0 0.8 0.6 0.4 0.2 00000 ***** AM 100 Question 6 options: 100 cm3 150 cm3 300 cm3 250 cm3 00 .. 200 300 Leaf area in 1984 (cm²) O fruits 1 fruit ▲ 2 fruits 3 fruits 400 500