SAT coaching: A sample of 10 students took a class designed to improve their SAT math scores. Following are their scores before and after the class. Can youconclude that the mean increase in scores is greater than 15 points? Let μ₁ represent the mean score after the class and μμ₁ −μ₂. Use the a=0.10 leveland the P-value method with the TI-84 Plus calculator.BeforeAfterSend data to ExcelPart 1 of 4=383 334420H₁: >15Ma(a) State the appropriate null and alternate hypotheses.Ho: Md 15378 467470 473 443368 396 488 489 473 448This is a right-tailedScoretest.426 493459473 428 525 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) ▼ the null hypothesis.Part: 3 / 4Part 4 of 4(c) State a conclusion.There (Choose one)enough evidence to conclude that the mean increase in score is greater than 15.X

There are two dependent samples which are Before and After.We have to test whether the mean increase…

Answered: SAT coaching: A sample of 10 students…

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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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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