15. Generally, two types of data may be collected from sampling at an inspection point. These two types of data are OA. variable and attribute data! OB. variable and conditional data. OC. constant and conditional data. D. constant and attribute data!
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- When it first debuted, Telsa was selling its Model 3 sedan for $35,000. The Model 3 was priced substantially less than Tesla’s other models at the time, however, it had similar quality and input costs. In charging such a low price, it is most likely that Tesla is trying to: A. Create more value without capturing more value B. Capture more value without creating more value C. Create and capture more value D. None of the aboveWhich of the following is a distinguishing characteristic of using goalpost conformance for settingquality expectations?a. The use of Six Sigma performance standardsb. The use of the DMAIC (define, measure, analyze, improve, and control) problem-solving methodc. The use of Taguchi quality loss functions for control purposesd. The use of quality expectations expressed as a specified range around a targeted qualityperformance levelChoose all answers that form a true statement: “When performing Savitzky–Golay polynomial smoothing, increasing the number of data points used to perform the smoothing can result in …”: a. spectral distortion b. noisy data c. a decrease in the number of points in the data set. d. a shift in the data points to the right. For each option above (a-d) that forms a true statement, explain why it is true and what the ramification is for using smoothed data to interpret the behavior of the chemical system under study.
- Which of the following statements is NOT true about the process capability ratio? a. The process capability ratio is a ratio for determining whether a process meets design specifications. b. The process capability ratio is computed as the difference of the upper and lower specification limits divided by six standard deviations. c. The process capability ratio is a ratio of the specification to the process variation. d. A capable process has a process capability ratio less than one.can you help me answer this questions: 1-A moving average is the average of the observations in the past few periods, where the number of terms in the average is the span. True False 2- All nominal data may be treated as ordinal data. False True 3 - Phone numbers, Social Security numbers, and zip codes are typically treated as numerical variables. True False 4 - Correlation is useful only for: a.measuring the strength of a linear relationship. b.conveying the same information in a simpler format than a scatterplot. c.measuring the strength of a nonlinear relationship. d.assessing the weakness of a linear relationship. 5 - Which of the following will give the value for the third quartile? a. QUARTILE.INC(array, 0.25) b.QUARTILE.INC(array, 0.75) c. PERCENTILE.INC(array, 0.75) d.DECILE.INC(array, 0.30) 6 - _______ sampling applies to populations that are divided into natural subsets and allocates the appropriate proportion of samples to each subset.…(c) Based on what we know about Observation B, if the cutoff value is lowered to 0.2, what happens to the values of sensitivity and specificity? Explain. Use the ROC curve to estimate the values of sensitivity and specificity for a cutoff value of 0.2. If required, round your answers to three decimal places. Do not round intermediate calculations. Answer Part C, there are no other parts here. I have the sensitivity already and is equal to 1. What is the specificity??If you are not 100% sure you are right, do not attempt this is frustrating. The cutoff value has changed from 0.5 to 0.2. The sensitivity is 1 which is correct. I need help with the specificity. Sensitivity does not equal 1/14 and specificity does not equal 1/31 so don't answer that and do not answer any other parts just answer part C.
- Let’s suppose that you have a set of time-series variables, and you want to model the relationship between them. Read the situations given below and answer the questions. (200 words)a) Explain the statistical test if the linear combination (of time-series variables) is I(0).b) Which statistical test can be applied if all the series are integrated of the same order I(1). Justify your answerEach of these columns of data represent a different soda bottling line, with the values representing the amount of soda per bottle in ounces. The business question being asked for each of the three comparisons is "do the two bottling lines bottle the same volume of soda on average, bearing in mind that the sample difference that you may observe could just be coincidence." What is the null hypotheses? Alternative hypothesis P value Alpha=0.05 Is it significant ? t-Test: Two-Sample Assuming Unequal Variances C7 C8 Mean 20.01679499870 20.59290905613 Variance 0.01032479977 0.01011215081 Observations 50.00000000000 50.00000000000 Hypothesized Mean Difference 0.00000000000 df 98.00000000000 t Stat 28.49610006164 P(T<=t) one-tail 0.00000000000 t Critical one-tail 1.66055121707 P(T<=t) two-tail 0.00000000000 t Critical two-tail 1.98446745451A conclusion that differences in the explanatory variableactually causes differences in the response variablewould require a design that usesA) a random sample.B) random samples taken from at least two differentpopulations.C) a random sample of individuals who are thenrandomly assigned to treatment groups.D) a control group.E) random assignment of individuals to treatmentgroups.
- Describe what panel data is and the reasons for using it Assess the importance of fixed and random effects What is the Hausman Test? Explain its relevance. Explain when fixed effects, random effects or pooled OLS models are usually used.Since each process capability index relies on the estimate of process standard deviation, which in turns relies on sampling, therefore which following statement is INCORRECT? a. Confidence interval of each capability index should be found, instead of computing only a point estimate. b. Each process capability index follows some distribution. c. Each process capability index is a random variable. d. The distribution of Cpk is approximately normal. e. none of the aboveA carpenter is making doors that are 2058 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 13 doors is made, and it is found that they have a mean of 2043 millimeters with a variance of 1024. Is there evidence at the 0.025 level that the doors are too short and unusable? State the null and alternative hypotheses for the above scenario.