(a) Find the first and third quartiles. The first quartile is 5 The third quartile is 7 Part 2 of 4 (b) Find the IQR.
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- A soft-drink bottling company fills and ships soda in plastic bottles with a target volume of 354 . The filling machinery does not deliver a perfectly consistent volume of liquid to each bottle, and the three quartiles for the fill volume are O1=353 , Q2=354 , and Q3=356 (A) Find the IQR (B) Find the outlier limits. Round your answer to one decimal place. Lower limit=? Upper limit=? (C) A fill volume of 348 mL is considered low. Would a fill volume of 348 mL be considered an outlier? Explain. A. No, since 348 falls between the lower and upper limits. B. Yes, since 348 is below the lower outlier limit. C. Yes, since 348 is above the upper outlier limit.An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 418 420 422 422 425 428 431 434 437 438 445 446 449 451 458 462 465 (a) Construct a boxplot of the data. Comment on any interesting features. (Select all that apply.) The data appears to be centered near 438.There are no outliers.The data is strongly skewed.There is little or no skew.The data appears to be centered near 428.There is one outlier. (b) Is it plausible that the given sample observations were selected from a normal distribution? YesNo (c) Calculate a two-sided 95% confidence interval for true average degree of polymerization. (Round your answers to two decimal places.) , Does the interval suggest that 445 is a plausible value for true average degree of polymerization? YesNo Does the interval suggest that 456 is a plausible value? YesNo You…1) students at a school took a 35-point exam. Below is a random sample of exam scores. 25 35 22 19 25 31 21 27 10 22 a)Using data, check for outliers using the IQR Method. Be sure to show your work. b)Now check for unusual values using the Empirical Rule with the original data. Find the appropriate boundaries. Again, show your work. c)How do the results of these two methods compare d)What would the z-score be for someone who scored a 22?
- If We can assert with 95% that the maximum error is 0.05 and p= 0.2 ,find the sample size...As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. Use α = 0.05 Barth Tornado Reiser Shaw 43 37 41 43 46 38 45 45 43 39 42 46 State the null hypothesis for the test: State the alternative hypothesis: The total degrees of freedom is _______ The amount of total variation or SST is __________. The among group variation or SSA is __________. The within group variation or SSW is __________. The value of MSA is __________ The MSW is __________. The degrees of freedom are ________ The null hypothesis that the mean downhill coasting speeds of the 4 brands of bicycles are equal will be rejected at a level of significance of 0.05 if the value of the test statistic is greater than __________. In testing the null hypothesis that the mean downhill coasting speeds of the 4 brands of bicycles are equal, the value of the test…Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 30 21 2 26 58 6 20 13 8 31 20 13 Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Use 2 decimal places for MSBET, and MSW.) dfBET = dfW = MSBET = MSW = Find the value of the sample F statistic. (Use 3 decimal places.) What are the degrees of freedom? Find the P-value of the sample test statistic. Make a summary table for your ANOVA test.
- Perform Dixon’s Q-test and Grubb’s test for the following set of data points. Make a conclusion to reject or retain the outlier. Show your step-by-step calculations. Given: Mass of 1-peso coins collected from Experiment 1. Sample No. Weight in Grams Sample No. Weight in Grams 1 1.1002 6 1.9765 2 1.2358 7 1.0067 3 1.1829 8 1.0182 4 1.3233 9 1.0173 5 1.1476 10 1.1094State park officials were interested in the proportions of campers. They decided to take a sample random sample of n=30 from the first N=300 camping parties that visit the campground. Let y1=0 if the head of the ith party sample does not think the campsite spacing is adequate and y=1 if he does (i=1,2,.....30) Use the data in the table to estimate p. the proportion of campers who consider spacing adequate place a bound on error of estimation. Camper Sampled Response yi 1 2 3 . . . 29 30 1 0 1 1 1 Σyi=25You obtained the following raw data when setting up a Bradford standard curve: BSA (mg/ml) Absorbancy 595nm 0 0.225 1 0.310 2 0.420 3 0.510 4 0.610 5 0.720 6 0.810 7 0.915 8 0.950 9 0.980 10 0.990 Set up a standard curve. What would the quality of the line-fit (R2 value) be if you do not exclude experimental outliers? (Give you answer to 4 decimal places)
- Q1A) List down the measures of central tendency and measures of dispersion 1) Q1B) The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of which is expected to be 575 millimeters. A sample of five tires of each grade was selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are as follows. Grade X grade Y 568 570 575 578 584 573 574 575 577 578 requirement. a) for each of the tow grades of tries, compute the mwan, median, and standred deviation. b) which grade of tire providing better quality? explain. c) what would be the effect on your answer in (a) and (b) if the last value for grade Y were 588 insert 578 explain. PLEAS ANSWER Q1&B. THANK YOU.With ? = .01, what are the boundaries for two-tailed critical region with a sample of n = 20 subjects? a) t = ±2.539 b) t = ±2.861 c) t = ±2.528 d) t = ±2.845For a dependent samples t-test to work, which of the following must be true? The same subjects are present in both groups The two samples should be of unequal sample size There are different subjects present in both groups There should be no significant outliers in the differences in the two related groups