Which of the following does NOT have the same unit of measurement as that of the observations (x)E I. t II. III. IV. V.
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- 1. Find the percentage of N.d. observations with a zz-score between z1= -3.04 and z2 = 2.85. Give your answer to two decimal places. 2. Find the proportion of N.d. observations with a zz-score between z1= -2.95 and z2 = 0.70. Give your answer to four decimal places.1. An automobile manufacturing company wanted to investigate how the price of one of it's car models depreciates with age. The research department at the company took a sample of 8 cars of this model and collected the following information on the ages (x, in years) and prices (y, in hundreds of pesos) of these cars as shown: Age, x83792546 Price, y18955524140403899 Find the estimated price of a 15 year old carFill the chi square for Cross 1 and Cross 2 from the following data in the attached image: Cross 1: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 = Cross 2: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 =
- A physician hypothesizes that females have higher systolic blood pressure than males. The physician obtains the blood pressure from a sample of patients during their annual check-up. Below is the systolic blood pressure for the sample. What can be concluded with an α of 0.01? male female 1061199810510013210911398105 13710594115127122131124111136 A)Obtain/compute the appropriate values to make a decision about H0. Critical Value= Test Statistic= B) Compute the corresponding effect size(s) and indicate magnitude(s). d= r2=A. The approximate standard deviation for the area under a gaussian curve for a population in the figure is .........X is the number of defective parts in a sample of 10 randomly selected parts coming from a manufactoring process in which 1.5% of all parts are defective. How do I find the probabilty the sample contains no broken parts?
- You source a battery for your product from two different suppliers (A and B). You suspect that theequivalent series resistance (ESR) of batteries supplied by the two suppliers is not the same. Thestandard deviation of ESR from each supplier is 2 ohms. You would like to be able to determine an ESRdifference of 1 ohms between suppliers. How many parts would you need to sample from each supplier(assume you sample the same number from each supplier) for a power level of 90%. Assume the desiredsignificance level (?) is 5%.Albone Age(Rings) Shell Weight(g) 10 0.205 11 0.285 9 0.09 10 0.16 8 0.135 11 0.285 12 0.26 12 0.345 10 0.165 17 0.41 11 0.2425 13 0.34 12 0.62 10 0.3 12 0.245 13 0.31 11 0.18 12 0.125 9 0.07 11 0.26 15 0.45 10 0.205 9 0.075 19 0.345 7 0.08 13 0.33 22 0.27 12 0.35 10 0.25 10 0.105 10 0.2 20 0.4 18 0.385 19 0.285 11 0.24 17 0.625 17 0.3 17 0.37 15 0.365 3 0.01 9 0.11 8 0.027 13 0.22 20 0.415 11 0.2 12 0.36 4 0.012 15 0.14 6 0.055 5 0.025 12 0.09 12 0.245 11 0.295 9 0.123 7 0.03 13 0.255 8 0.06 20 0.525 9 0.07 13 0.3 12 0.256 6 0.03 7 0.0745 9 0.1465 9 0.202 10 0.33 11 0.3685 10 0.4 6 0.0245 5 0.045 6 0.1 7 0.119 6 0.17 8 0.156 8 0.202 7 0.214 9 0.274 9 0.315 8 0.336 11 0.4005 4 0.0095 6 0.0405 7 0.1045 7 0.1175 6 0.1385 9 0.169 8 0.206 8 0.265 9 0.292 9 0.332 8 0.34 11 0.4525 11 0.586 7 0.048 7…The following data on distilled alcohol content (%) fora sample of 35 port wines was extracted from the article“A Method for the Estimation of Alcohol inFortified Wines Using Hydrometer Baumé andRefractometer Brix” (Amer. J. Enol. Vitic., 2006:486–490). Each value is an average of two duplicatemeasurements. The following data on distilled alcohol content (%) fora sample of 35 port wines was extracted from the article“A Method for the Estimation of Alcohol inFortified Wines Using Hydrometer Baumé andRefractometer Brix” (Amer. J. Enol. Vitic., 2006:486–490). Each value is an average of two duplicatemeasurements. 16.35 18.85 16.20 17.75 19.58 17.73 22.75 23.78 23.2519.08 19.62 19.20 20.05 17.85 19.17 19.48 20.00 19.9717.48 17.15 19.07 19.90 18.68 18.82 19.03 19.45 19.3719.20 18.00 19.60 19.33 21.22 19.50 15.30 22.25Use methods from this chapter, including a boxplot thatshows outliers, to describe and summarize the data.
- To test the water boiling point temperature,( 9) measurements were taken out as below:(99.3, 99.4, 99.2, 99.5, 99.6, 99.9, 99.6, 99.4 , 99.8) Co, with a population standard deviation = 1.2 Co.Test the hypothesis that (100 Co) is the boiling point of water or not using α = 5%?Suppose that Z comes from standart normal disribution Given P(-k < Z < k ) =0.78 find k=?The data in the accompanying table are from a paper. Suppose that each person in a random sample of 49 male students and in a random sample of 93 female students at a particular college was classified according to gender and whether they usually or rarely eat three meals a day. Usually Eat3 Meals a Day Rarely Eat3 Meals a DayMale 25 24Female 38 55 Find the test statistic and P-value. (Use SALT. Round your test statistic to three decimal places and your P-value to four decimal places.) X2= P-value=