ng the given data, find the following. 7 9 21 28 2 30 26 Send data to Excel Part: 0 / 2 Part 1 of 2 Identify the five-number summary. Round your answers to one decimal place as needed. Low =e, =D e3 = High = MD =
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also need Interquartile answer.
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- Do the following. Thirty AA batteries were tested to determine how long they would last. The frequency table shows the results, to the nearest minute, as follows: Battery life (in minutes) Frequency (f) 360 – 369 2 370 – 379 3 380 – 389 5 390 – 399 7 400 – 409 5 410 – 419 4 420 – 429 3 430 – 439 1 In a one whole yellow pad, show the handwritten solution (with tables) to find the 1. mean average life of the AA batteries using: a) long method (midpoint method; b) short (deviation method) 2. median average life 3. modal average lifeA sample of average high temperature during July (x) of cities in Colorado compared to their elevation in feet (y) yields the following results: x 90 75 85 94 89 94 78 76 88 y 5280 9494 6035 4078 6191 4583 8000 8022 5807 Find y2A study of bone density on 55 random women at a hospital produced the following results. Age 3737 4141 5353 6969 7373 Bone Density 345345 335335 330330 315315 310310 Copy Data Step 3 of 3 : Calculate the coefficient of determination, r2r2. Round your answer to three decimal places.
- Given screenshot is the outcome of an exercise program. Use Chi-square analysis to understand Male Weight Loss by joining the Exercise Program. Assume the Critical Value of 3.84.Thirty Asian Utility vehicles were tested for biodiesel fuel efficiency (in km/liter). The following frequency distribution was obtained Calculate the exact kurtosis (population) and excess kurtosis of the population (+ interpretation), sample kurtosis for this grouped data.The manager of a fleet of automobiles is testing two brands of radial tires. She assigns one tire of each brand at random to the two rear wheels of eight cars and runs the cars until the tires wear out. The data are shown here (in km). Find a 99% CI on the difference in mean life. Which brand would you prefer, based on this calculation? Car Brand 1 Brand 2 1 36925 34318 2 45300 42280 3 36240 35500 4 32100 31950 5 37210 38015 6 48360 47800 7 38200 37810 8 33500 33215
- The following BTU measurements are taken relative to some chemical process: 1244, 1198, 1212, 1235, 1245, 1190, 1202, 1220, 1233, 1208. A problem with the process is indicated if the mean BTU measurement varies too greatly from 1230. Given the aforementioned data, the hypotheses H0: µ = 1230 and H1: µ ≠ 1230, and α = 0.05, do the data indicate a problem with the chemical process? a. As |-1.72| < 1.833, the data do not indicate a problem with the chemical process. b. As |-1.72| < 2.262, the data do not indicate a problem with the chemical process. c. As |-1.72| < 1.833, the data indicate a problem with the chemical process. d. As |-1.72| < 2.262, the data indicate a problem with the chemical process. e. As |-1.81| < 1.833, the data do not indicate a problem with the chemical process. f. As |-1.81| < 2.262, the data do not indicate a problem with the chemical process. g. As |-1.81| < 2.262, the data indicate a…Two analysts were given a standard reference material (SRM) and were asked to determine its copper concentration (in mg/kg) using the EPA standard method. Each analyst was given sufficient time so they could produce as many accurate results as possible. Their results (mg/kg) were as follows: Analyst A 45.2, 47.3, 51.2, 50.4, 52.2, 48.7 (Standard error s = 2.62) Analyst B 49.4, 50.3, 51.6, 52.1, 50.9 (Standard error s = 1.06) (a) For Analyst A, is 52.2 mg/kg a possible outlier? (b) Calculate the RSD for each student; which analyst is more precise? (c) If the known concentration of copper in SRM is 49.5 mg/kg, which analyst is more accurate (without considering the deletion of outliers if any)?A z-score of –1.6 has a corresponding Stanine score of:
- The owner of a new car conducts a series of six gas mileage tests and obtains the following results, expressed in miles per gallon: 3., 22.7, 21.4, 20.6, and 21.4. 20.9. Find the mode for these data.What is the MS between and MS within? what is the MS subject? what is the Sm (needed in the Tukey test)In a mass screening of 1,000 - 65-year-old men, 100 were found to have polyps of the colon. During the following 10-year period, another 200 men with colon polyps were discovered. Which measure(s) of disease occurrence can be calculated? Calculate this/these. Provide an interpretation for this.