Answer:
The correct answer is stockkeeping unit.
Explanation:
In the field of inventory management, an inventory maintenance unit or SKU refers to a specific item stored in a certain place. The SKU is considered the most disaggregated level when talking about inventory. It is assumed that the units stored in the same SKU are indistinguishable. The introduction of the SKU concept simplifies most inventory control operations. SKUs are sometimes used to designate intangible items, as guarantees; however, in this article we will focus on SKUs that designate tangible items.
Correct answer choice is:
D. April 30
Explanation:
The billing cycle for a credit card or whatever sort of cyclical account is the duration of time connecting billings. For instance, a billing cycle may begin on the 1st day of the month and finishes on the 30th day of the month. Or, it may proceed of the 15th of an individual month to the 15th of the following month.
Answer:
Fiedler's contingency model would classify Jack as task structure oriented.
Explanation:
According to Fiedler's contingency model
Task Structure refers to the extent to which group tasks are clear and structured.
It can structured and unstructured
When task structure is unstructured or low, group tasks are vague. There is no clear solution or correct approach to complete the goal.
In contrast, when task structure is structured or high, the objective is clear. Employees have a clear idea about the how to approach and reach the company's goal
Jack' approach that emphasizes to his people that the work must be done, regardless of circumstances, and encourages his employees to meet their sales quotas is categorized under task structure.
Answer: $184.34
Bess issued four checks with amounts $175.17, $175.53, $175.35,and $184.34. With the total amount she issued, she expected her balance based on her cash register to be $869.96, but as per bank statement, her balance is $1054.13.
To get the amount of check which is not cleared yet, we have to deduct the balance in the cash check register from that of the bank statement:
$1054.13-$869.96 =184.17
$184.34 is the best answer because it is the last he wrote and the discrepancy of 0.17 may be due to some bank charges Bess had not recorded.
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.
