rength of concrete: The compressive strength, in kilopascals, was measured for concrete blocks from five different batches of concrete, both three and sixdays after pouring. The data are as follows. Can you conclude that the mean strength after three days differs from the mean strength after six days? Let H,represent the mean strength after three days and P =H, -P. Use the a=0.01 level and the P-value method with the TI-84 Plus calculator.Block14After 3 days13171363132113331311After 6 days13821341132713421386Send data to ExcelPart 1 of 4(a) State the null and alternate hypotheses.H:This hypothesis test is a (Choose one) v test.Part 2 of 4(b) Compute the P-value. Round the answer to at least four decimal places.P-value =Part 3 of 4Determine whether to reject Ho.(Choose one) v the null hypothesis.Part 4 of 4(c) State a conclusion.There (Choose one) venough evidence to conclude that the mean strength after three days differs from the meanstrength after six days.

Given the data Block 1 2 3 4 5 After 3 days 1341 1316 1352 1355 1327 After 6…

Answered: days after pouring. The data are as…

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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For the data set (−2,−3),(1,1),(5,6),(9,6),(12,11), find interval estimates (at a 92.2% significance level) for single values and for the mean value of y corresponding to x=4 Note: For each part below, your answer should use interval notation. Interval Estimate for Single Value = Interval Estimate for Mean Value =
4.- For the following data set 10, 7, 6, k, 4, 7, 1, 10. Find the value of k so that (a) X = 6.25 (b) X = 7.5 Villalobos 2020 22 (c) M = 7 (d) MR = 10 CHAPTER 3. DATA DESCRIPTION
Consider the following data set *; | -1|2|3 Yi | 3 |2|1 and the model y = a, + a1¤ Calculate the squared error (SE) for the choice a, = 8 and a1 = -1 Answer:
The following set of data represents the number of orders filled by a national-chain restaurant during a two week period. Construct a five number summary for the the data. 66, 75, 68, 89, 86, 73, 67, 75, 75, 82, 85, 74, 67, 61 (Round to the nearest hundredth, if needed). Min _________________ Lower Quartile _________________ Median __________________ Upper Quartile _________________ Maximum __________________ What is the range and the interquartile range (IQR)? Range __________________ Interquartile Range (IQR) ___________________
I'm looking for help on the first 3 bullet points please.
A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 75 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. N Mean StDev SE Mean Men Women 95% Cl for mu Men - mu Women - 9.81, - 0.79) T-Test mu Men = mu Women (vs H2 Oc. Họ: H1 = H2; Hai H1
Please help with the areas marked with an X 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 19 29 16 25 27 15 23 32 19 21 28 18 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use . Sum of Squares, Treatment X Sum of Squares, Error X Mean Squares, Treatment X Mean Squares, Error X Compute the values below (to decimals, if necessary). Calculate the value of the test statistic (to decimals)_______x_________. b. At the level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers and . Calculate Fisher's LSD Value (to decimals)______X______
W 1. X A tablet computer manufacturer claims that its batteries last an average of 10.5 hours when playing videos. The quality control department randomly selects 20 tablets from each day's production and tests the batteries by playing a video repeatedly until the battery dies. The quality control department will reject the batteries from that day's production run if the mean battery life is less than 10.5 hours. Here are the data from one day: 10.3 10.0 10.3 10.6 10.5 10.3 10.1 10.6 11.5 10.3 10.3 12.7 10.6 11.3 13.9 12.5 12.4 10.8 10.2 12.2 The quality control department will test the hypotheses where p true mean battery life (in hours) while playing videos for tablets made during that day. Check that the conditions for performing the test are met. Assume the population is normally distributed. 3 e d C Ho:μ = 50 Ha:μl < 50 $ 4 f 25 % V t 6 (6 b Y h ∞ 7 u n * 00 8 ¡ m ( 9 k O Sign out 1 р Mar 29 7
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Q1]. [30%] The data for this question given in the table below come from the sample data folder of MINITAB. The data give you the monthly number of people employed (in units of 1000) in the retail trade industry in the state of Wisconsin from January 1970 to December 1974. Copy this timeseries data into an excel spreadsheet in your home area first before you start your analysis. You can use Excel to answer this question. Month 1970 1971 1972 1973 1974 1 322 322 330 348 361 2 317 318 326 345 354 3 319 320 329 349 357 4 323 326 337 355 367 5 327 332 345 362 376 6 328 334 350 367 381 7 325 335 351 366 381 8 326 336 354 370 383 9 330 335 355 371 384 10 334 338 357 375 387 11 337 342 362 380 392 12 341 348 368 385 396 (a) (b) (c) (d) Draw a time series plot of the data and comment on any noticeable patterns. Describe an appropriate time series model for this data, giving your reasons, and obtain estimates of the components of your model using the decomposition method. Using your model…

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