Question : A disk drive manufacturer has a defect rate of less than .% with % confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units. Which action should the team recommend?
1. A larger sample size should be taken to determine if the plant is operating correctly 2. The manufacturing process is functioning properly and no further action is required 3. Access Mostly Uused Products by 50000+ Subscribers 4. There is a flaw in the quality assurance process and the sample should be repeated
Correct Answer : Get Lastest Questions and Answer : Explanation: Defect rate is less than 1.5% (which is equal to 15 out of 1000 and confidence level is also high 98%) So need to take action.
Question : What is a core deliverable at the end of the analytic project? 1. An implemented database design 2. A whitepaper describing the project and the implementation 3. Access Mostly Uused Products by 50000+ Subscribers 4. The training materials
Correct Answer : Get Lastest Questions and Answer : Explanation: Four main deliverables: Presentation for Project Sponsors contains high-level takeaways for executivelevel stakeholders, with a few key messages to aid their decision-making process. Focus on clean, easy visuals for the presenter to explain and for the viewer to grasp.
Presentation for Analysts, which describes changes to business processes and reports. Data scientists reading this presentation are comfortable with technical graphs (such as Receiver Operating Characteristic [ROC] curves, density plots, and histograms) and will be interested in the details.
Code for technical people, such as engineers and others managing the production environment
Technical specifications for implementing the code
Question : Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon. You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision. Which analysis method should you use?
Explanation: In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique used to compare means of three or more samples (using the F distribution). This technique can be used only for numerical data.[1]
The ANOVA tests the null hypothesis that samples in two or more groups are drawn from populations with the same mean values. To do this, two estimates are made of the population variance. These estimates rely on various assumptions (see below). The ANOVA produces an F-statistic, the ratio of the variance calculated among the means to the variance within the samples. If the group means are drawn from populations with the same mean values, the variance between the group means should be lower than the variance of the samples, following the central limit theorem. A higher ratio therefore implies that the samples were drawn from populations with different mean values.[1]
Typically, however, the one-way ANOVA is used to test for differences among at least three groups, since the two-group case can be covered by a t-test (Gosset, 1908). When there are only two means to compare, the t-test and the F-test are equivalent; the relation between ANOVA and t is given by F = t2. An extension of one-way ANOVA is two-way analysis of variance that examines the influence of two different categorical independent variables on one dependent variable.Analysis of Variance (ANOVA) is designed to address these issues. ANOVA is a generalization of the hypothesis testing of the difference of two population means. ANOVA tests if any of the population means differ from the other population means. The null hypothesis of ANOVA is that all the population means are equal.
1. PACF as an indication of stationarity, and ACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1. 2. ACF as an indication of stationarity, and PACF to determine the correlation of X1 through Xk-1. 3. Access Mostly Uused Products by 50000+ Subscribers 4. ACF as an indication of stationarity, and PACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1.
1. A larger sample size should be taken to determine if the plant is functioning properly 2. A smaller sample size should be taken to determine if the plant is functioning properly 3. Access Mostly Uused Products by 50000+ Subscribers 4. The manufacturing process should be inspected for problems.