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- Table 5.13 (page 237 in the textbook) shows the observed pollution indexes of air samples in two areas of a city. Using a Statistical software, test the hypothesis that the mean pollution indexes are the same for the two areas using? = 0.05. Check the normality of data sets using a graphical method (hint: side-by-side boxplot). Be sure to include the edited computer output and to interpret the results. Area A 2.92 1.88 5.35 3.87 4.69 2.86 5.81 3.55 Area B 1.84 1.95 4.26 3.18 3.44 3.69 4.95 4.47A calibration curve for a load cell is performed. The results are tabulated and shown in table Load( lb) Output (mV) 10 1.6 50 7.8 100 16.2 150 23.8 200 32.1 300 48.5 500 79.0 700 112.9 900 143.1 1000 162 Calculate the confidence limit on the slope and the intercept4.Table 5.13 (page 237 in the textbook) shows the observed pollution indexes of air samples in two areas of a city. Using a Statistical software, test the hypothesis that the mean pollution indexes are the same for the two areas using? = 0.05. Check the normality of data sets using a graphical method (hint: side-by-side boxplot). Be sure to include the edited computer output and to interpret the results. Area A 2.92 1.88 5.35 3.87 4.69 2.86 5.81 3.55 Area B 1.84 1.95 4.26 3.18 3.44 3.69 4.95 4.47
- Figure I shows the age and annual DDS expenditures for 376 Hispanic and 401 white non hispanic DDS recipients. Based on the scatter plot, determine whether each of the following statements is TRUE or FALSE no explanaition is needed: Older DDS recipients generally had higher annual DDS expenditures The histogram of annual DDS expenditures would be unimodal. The median annual DDS expenditures of these DDS recipients would be higher than their mean annual DDS expenditures.A selection of cereals was sampled and the number of calories was plotted against the number of grams of protein with the following results: Parameter Estimates Term Estimate Std. Error Lower 95% Upper 95% Intercept 106.01939 5.687496 94.689284 117.3495 Protein 0.3393214 2.054662 -3.753788 4.4324306 Which of the following is NOT CORRECT? It is estimated that cereals with no protein would have 106 calories/serving. Each additional gram of protein increase the estimated calorie content per serving by .339 calories. The slope is 0.339. Cereals with 5 grams of protein are estimated to have 106.99 calories/serving. The regression line is y-hat = 106.0 + .339(protein)In 1905 R Pearl published the article “Biometrical Studies on Man. I. Variation and Correlation in Brain Weight”. According to the study, brain weights of Swedish men are normally distributed with a mean of 1.4 kg and a standard deviation of 0.11 kg. a. Determine the sampling distribution of the sample mean for samples of size 3. b. Repeat part (a) for samples of size 12. c. Use Excel to construct graphs similar to those shown in Fig 7.4 on page 321 in the textbook. Hand in your excel output and show the data you used to construct the plots, as well as the plots d. Do you need to assume that brain weights of Swedish men are normally distributed to answer parts (a) and (b) Figure 7.4 for part c is attached as a photo
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- Question 2 of 18, Step 1 of 1 1/out of 18 Correct 4 An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 120120 engines and the mean pressure was 4.54.5 lbs/square inch. Assume the variance is known to be 0.810.81. If the valve was designed to produce a mean pressure of 4.34.3 lbs/square inch, is there sufficient evidence at the 0.10.1 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario.You obtained the following raw data when setting up a Biuret standard curve: BSA (mg/ml) Absorbancy 540nm 0 0.158 1 0.210 2 0.260 3 0.305 4 0.360 5 0.410 6 0.455 7 0.510 8 0.530 9 0.550 10 0.554 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)Is the following statement true or false and why: If we do not reject ?0H0, then we conclude that ?1H1 is false. Washers used in a certain application are supposed to have a thickness of 2 millimeters. A quality control engineering measures the thickness for a sample of washers and tests ?0:?=2H0:μ=2 versus ?1:?≠0H1:μ≠0. If a Type I error is made, what conclusion will be drawn regarding the mean washer thickness?