Answer:
The difference is 22.34 days which results in late payments
Explanation:
For computing the DSO we have to compute the accounts receivable turnover ratio which is shown below:
Accounts receivable turnover ratio = Credit sales ÷ average accounts receivable
= $325,000 ÷ $60,000
= 5.42 times
and the average collection period in days = Total number of days in a year ÷ accounts receivable turnover ratio
= 365 days ÷ 5.42 times
= 67.34 days
Actual credit period is given is 45 days
But the resulted days are 67.34 days
So, the difference is 22.34 days which results in late payments
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.
Answer:
the recorded value of the new truck is $135,000
Explanation:
The computation of the recorded value of the new truck is given below;
In the case when the transaction has the commercial substance so the recorded value of the new truck would be equivalent to the invoice price or the fair value i.e. $135,000
Hence, the recorded value of the new truck is $135,000
The same would be considered and relevant
And all other values are to be ignored
Answer: $6780
Explanation:
Asset recorded in books of timble will be:
= (PVAF at 5%, 8 × Annual CF) + (PVAF at 5%,8 × salvage)
where CF = cash flow
PVAF = present value of annuity factor
= (6.80 × 9000 ) +(0.66 × 10000)
= 61200+ 6600
= $ 67800
Since the equipment has an expected life of ten years with no anticipated salvage value, then the depreciation will be:
Depreciation = 67800 ÷ 10
= $ 6780
Answer:
enough to earn some money but not too much to jeopardize your grades
Explanation:
Since your scarce resource is time you need to create a balance between all the tasks, so much so that you are able to benefit from all of the tasks but not substitute one for another. Therefore in this situation, you will work enough to earn some money but not too much to jeopardize your grades. That way you are able to make money to pay for most (if not all) of your expenses but at the same time, you are still making sure you are benefiting from school and not wasting your time in school by not being able to graduate.
