Chemical analyses are carried out in four labs. As part of the investi same are submitted to labs for examination to see whether they prov on average. The following are the analytical findings for the four lab alpha = 0.05 AB C D 58 62 55 60 61 64 54 60 60 63 56 60 59 59 53 61 58 60 58 62 ANOVA TABLE: Fill in the blanks with the missing data, (#.###.H#
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- The weight of a car can influence the mileage that the car can obtain. A random sample of 17 cars was taken and the weight (in pounds) and mileage (in mpg) were recorded and are in the table below. X, weight Y, mileage 4000 23.6 4000 23.4 2500 40.9 3500 28 2750 46.9 3000 32.2 3000 31.4 4500 17.2 2250 38.9 3500 31.3 3500 32.6 2750 36.3 5500 13.2 3000 31.4 3500 31.3 2250 53.3 3500 28 a) The symbol and value of the correlation coefficient are as follows: Round final answer to 2 decimal places. Select an answer r R² ρ ŷ y p̂ X̄ p μ σ s = Interpret this value: There is a strong Select an answer positive negative Select an answer linear quadratic bell-shaped uniform relation between weight and mileage for cars. b) The symbol and value of the coefficient of determination are as follows: Select an answer Fail to Reject the Null Accept the Null Reject the Nullcont.... What is the level of measurement for the dependent variable? Are the samples dependent (matched) or independent? State the null and alternative hypotheses.H0: HA:the temperature of a coffee cup is 185.3 degrees, is it a discrete or a continuos data set?
- O 0.12038 QUESTION 11 Calculate the second quartile Q2 for the following data: 1 367889 2 34455567 0246 4 3479 5 12 O 26 O 25 O25.5 O 12 Click Save and Submit to save and submit. Click Save All Answers to save all answers. ASUS VivoBookNexium is a drug that can be used to reduce the acid produced by the body and heal damage to the esophagus. A researcher wants to estimate the proportion of patients taking Nexium that are healed within 8 weeks. A random sample of 224 patients suffering from acid reflux disease is obtained, and 213 of those patients were healed after 8 weeks. a. Identify the population of interest and sample of interest. what is the sample size? b. Describe the parameter of interest. c. Describe the statistic of interest. What value of the statistic obtained?To test whether the mean time to mix a batch of adhesive is the same for machines produced by four manufacturers. TiteBondMax obtained data on the time (minutes) needed to mix the materials. Test whether the machines have equal mean mixing time at alpha=0.01. Manufacturer A B C D 25 23 25 28 23 21 25 27 21 23 25 28 23 24 21 29
- Please see below. I am only given one attempt at this problem; please help. Marc takes a random sample of 14 dogs from the local animal shelter and weighs them. He obtains the following data: 9 25 32 40 41 45 47 50 53 53 62 79 94 106 What is the third quartile (Q3) for this data? Use the method from the book and videos, not Minitab.Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual Total ANOVA (2 decimal places each, where necessary) Sum of Squares X Model (Intercept) 0.3632 0.515 1000 RMSE Parameter Estimates (2 decimal places each) Beta Coef. Var. df 29.48 5.7871 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129The researchers from a study interviewed two random samples, one in 2015 and one in 2018. Both samples were asked "Have you read a print book in the last year?" Use the accompanying results from the study to complete parts (a) through (c). Read a print book Total 9 Yes 2521 1375 No Total 2015 1206 680 1886 p-value= (Round to three decimal places as needed.) 2018 1315 695 2010 a. Find and compare the sample proportions that had read a print book for these two groups. The sample proportion of the 2015 subjects that read a book within the last year is. The sample proportion of the 2018 subjects that read a book within the last year is (Round to four decimal places as needed.) The sample proportion for 2015 is b. Find a pooled estimate of the sample proportion. A pooled estimate of the sample proportion is (Round to four decimal places as needed.) c. Has the proportion who read print books increased? Find the observed value of the test statistic to test the hypotheses Ho: P₁ = P2 and Ha:…
- Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 75 62 64 63 62 70 69 70 67 Weight (lbs) 325 250 280 220 235 265 200 365 175 (CLO 2) Test a claim that the mean height of people you know is not equal to 64 inches using the p-value method or the traditional method. State H0 and H1. Find the p-value or critical value(s). Draw a conclusion. (CLO 3) Find the correlation coefficient between height and weight. Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.Thè föllówing täblé shows the nun Prescriptions of prescriptions a doctor wrote each day for a 36-da period. Use the median procedure for finding quarti to find the first, second, and third quartiles for the d Number of Prescriptions Written per Day 8 12 14 7 14 10 10 9 16 7 11 16 11 12 8 14 13 10 9 14 15 12 10 8 10 14 8 7 12 15 14 10 9 15 10 12The table below displays the coronary artery disease data. The response, presence of coronary artery disease (CA), is dichotomous. The explanatory variables are sex and electrocardiogram (ECG) measurement. Sex ECG Disease No Disease Total Female Low 4 11 15 Female High 10 18 Male Low 18 Male High 21 27 Calculate the Mantel-Haenszel's estimate of the common odd-ratio value between ECG and coronary artery disease status. Round the value to the second decimal place. For example, 2.3414 would be 2.34.