Answer:
A. Contribution margin of $250,000 and C. Gross profit of $230,000.
Explanation:
Sales = $350,000
Cost of goods sold = $120,000
Total fixed expenses = $60,000
Total variable expenses = $100,000
Therefore,
Gross profit = Sales - Cost of goods sold
= $350,000 - $120,000
= $230,000
Contribution margin = Sales - Total variable cost
= $350,000 - $100,000
= $250,000
The right options are A. Contribution margin of $250,000 and C. Gross profit of $230,000.
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning
The defective rate per hour for a machine is 0.0148 or it can be said that the defective rate per hour for a machine is 1.48%.
<h3>What is the defective unit?</h3>
A unit is considered faulty if it has one or more flaws. The quantity of defective units is typically counted during inspections. Many people prefer to use the word "nonconforming units" to make it clear that just because a unit doesn't satisfy the requirements doesn't mean it is ineligible for use.
Given,
Total Production per hour = 2500
Defective unit per hour = 37
Calculation of Defective units rate per hour = Defective unit per hour divided by the Total Production per hour and multiply by 100.
Defective Unit rate per hour = 37 x 100/2500 = 1.48%
Thus, the defective unit per hour rate is 1.48% or 0.0148. The quantity of defective units is typically counted during inspections.
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Answer:
C) cluster analysis
Explanation:
Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable. The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy. The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.
Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying. LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.
Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.
One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.
