" (a) The following table gives the number of defects in carpets manufactured: Carpet Serial No. : 1 2 3 4 6. 7 8 9 10 No. of Defects : 3 4 6. 3 3 3 6. 2 Determine the central line and control limits for C-chart.
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- Fill 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 =Samples are collected from the River X and pH values are observed. 9 different pH values arelisted in table 3.Table 3Concentrations 4.2 3.8 6.0 3.5 8.1 4.9 4.1 3.2 4.0Draw box plot and finda. Bowley’s coefficient of skewnessb. Karl Pearson’s coefficient of skewnessc. Third momentRubricStages of Process MarksImagine and Plan 2Composition 2Effort 1#8- need help to show full work for psych stats
- In the file "data for final OPMT 1142 Winter 2021.xlsx" and worksheet "data", column for Tear Strength Data, given specification limits of 80 and 91, what are the total losses from this process? 0.093 0.015 O 0.112 O 0.033 O 0.064 O 0.079 0.104Estimate In(5) using linear interpolation if In(1)=0 and In(6)=1.7917.B6. Pinan Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table Source Regression Residual Total Regression output Variables Intercept Distance-X Answer the following questions. SS 1,864.5782 1,344.4934 3,209.07 Coefficients 12.3601 4.7956 df 1 28 29 MS 1,864.5782 48.0176 Std. Error 3.2915 0.7696 c) Determine and interpret the coefficient of determination. F 38.83 t(df=28) 3.755 6.231 d) Determine the correlation coefficient. Interpret its value. How did you determine the sign of the correlation coefficient?
- B6. Pinan Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table Source Regression Residual Total Regression output Variables Intercept Distance-X Answer the following questions. SS 1,864.5782 1,344.4934 3,209.07 Coefficients 12.3601 4.7956 df 1 28 29 MS 1,864.5782 48.0176 Std. Error 3.2915 0.7696 F 38.83 t(df=28) 3.755 6.231 a) Write out the regression equation. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? b) How much damage would you estimate for a fire 5 miles from the nearest fire station?11. A study is conducted to assess the distribution of preoperative serum creatinine concentrations among a small group of patients who are scheduled to undergo operative procedures at a local hospital. Seven consecutive patients are enrolled. The results are shown: Patient Number 2 Serum Creatinine (mg/dL) 0.5 0.6 0.8 889 0.9 1 10 6000-50 1234567 During documentation of these measurements, the fourth datum point (0.9) is inadvertently recorded as 9. Which of the following measures will be most impacted by this error? A) Accuracy B) Mean OC) Median 000000 OD) Mode E) Precision F) RangeTable 3 shows the number of lung cancer deaths per daily number of cigarettes smoked at the time of completing the 1951 questionnaire (only for male physicians who were nonsmokers and current smokers). The number of cigarettes smoked was available for 136 of the people who died of lung cancer. Number of cigarettes Deaths 3 Person-years 42800 0. 1-14 22 38600 15-24 54 38900 +24 57 25100 a) Estimate the appropriate measure of association and 95% confidence interval for each category of number of cigarettes smoked daily, using the group of non-smokers as the reference category. b) What can be inferred about the estimated measure of association in the different categories of number of cigarettes smoked daily? c) What is the proportion of lung cancer deaths among all smokers that can be attributed smoking? What is the proportion of lung cancer deaths in the total population that can be attributed to smoking? consider that
- Q.39) A patient's blood pressure for the first 15 days of the month was recorded as follows. Systolic BP (SBP): 126,137,119,129,136,138,135,140,127,130,128, 139,134,136,132 Diastolic BP (DBP): 89,94,93,95,90,87,92,88,90,91,86,84,89,91,93 (i) Create a data frame with the names of columns as "Day", "SBP", "DBP" (ii) Calculate the max-SBP and max-DBP using R statistical function (iii) Calculate mean-SBP and mean-DBP using R statistical function (iv) Create an appropriate chart for the above data set.Samples of emissions from three suppliers are classified for conformance to air-quality specifications. The results from 100 samples are summarized as follows I need a step-by-step solution and an explanation. Thank you!iris is a built-in R data set (data frame). This data set contains gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. We are interested in some descriptive statistics related to the Sepal.Width column of the data frame. We can access the data directly by using the assignment x <- iris$Sepal.Width (In R use ?iris for info on this dataset.)Remember: x <- iris$Sepal.Widtha.Calculate the sample median of x. b. Using the R quantile function, find the .80 quantile of x.(80th percentile) c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 4% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 2.0 sample standard deviations from the sample mean i. Calculate the minimum…