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KiRa [710]
2 years ago
7

Lomani Ltd acquired two new machines for cash on 1 January 2017. The cost of machine A was $400 000, plus GST, and of machine B,

$600 000, plus GST. Each machine was expected to have a useful life of 10 years, and residual values were estimated at $20 000 for machine A and $50 000 for machine B. Because of technological advances, Lomani Ltd decided to replace machine A. It traded in machine A on 31 March 2021 for a new machine, C, which cost $420 000. A $200 000, plus GST, trade-in was allowed for machine A, and the balance of machine C’s cost was paid in cash. Machine C was expected to have a useful life of 8 years and a residual value of $20 000. On 2 July 2021, extensive repairs were carried out on machine B for $66 000 cash. Lomani Ltd expected these repairs to extend machine B’s useful life by 4 years and it revised machine B’s estimated residual value to $19 500. Machine B was eventually sold on 1 April 2023 for $300 000, plus GST, cash. On 1 July 2023, Lomani Ltd decided to use the revaluation model for valuation of Machine C. The fair value of Machine C was assessed to be $220 000 and the future useful life was estimated to be 5 years, residual value remains the same. Lomani Ltd uses the straight-line depreciation method, recording depreciation to the nearest whole month. The end of the reporting period is 30 June. Required: Prepare general journal entries to record the above transactions and depreciation journal entries required at the end of each reporting period up to 30 June 2024. Required: Prepare general journal entries to record the above transactions and depreciation journal entries required at the end of each reporting period up to 30 June 2024
Business
1 answer:
cricket20 [7]2 years ago
6 0

Answer:

2017

Machine A (Dr.) $400,000

Machine B (Dr.) $600,000

Cash (Cr.) $1,000,000

2018

Depreciation Expense (Dr.) $93,000

Accumulated Depreciation (Cr.) $93,000

2019

Depreciation Expense (Dr.) $93,000

Accumulated Depreciation (Cr.) $186,000

2020

Depreciation Expense (Dr.) $93,000

Accumulated Depreciation (Cr.) $279,000

2021

Machine C  (Dr.) $420,000

Machine A (Cr.) $200,000

Cash (Cr.) $220,000

(To record trade in of machine A)

Repairs expense Machine B (Dr.) $66,000

Cash (Cr.) $66,000

(To record repairs of machine B)

2022

Depreciation Expense (Dr.) $79,450

Accumulated Depreciation (Cr.) $358,450

2023

Cash (Dr.) $300,000

Machine B (Cr.) $284,550

Gain on selling (Cr.) $15,450

Explanation:

Straight line depreciation recognize an assets carrying amount evenly over its useful life.

Straight line Depreciation = (Cost - Estimated Residual Value) / useful life

Depreciation expense for Machine A:

($400,000 - $20,000) / 10 years

= $38,000

Depreciation expense for Machine B:

($600,000 - $50,000) / 10 years

= $55,000

Depreciation expense for Machine C:

($420,000 - $20,000) / 8 years

= $50,000

Revised Depreciation of Machine B:

($314,000 -  $19,500) / 10 years

= $29,450

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Elan Coil [88]

Answer:

b. a branding strategy in which a company uses one name for all of its products in a product class.

Explanation:

Multi-product branding is a branding strategy in which a company uses one name for all of its products in a product class.

Multi-product branding is a business strategy widely used by manufacturers, it involves producing and selling multiple products using the same brand name for all.

For instance, Pears may have Pears diapers, clothing lines, lipstick ranges, shoes, body lotions, eye shadow, foundation etc. They are all different products manufactured and all branded as Pears.

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2 years ago
Determine whether the following statement is true or false, and explain your reasoning:
Triss [41]

Answer:

The statement is true

Explanation:

As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.

To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.

It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.

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6 0
1 year ago
Jennifer's two favorite flavors of soda are cola and lemon-lime. On a normal week, Jennifer bought 3 cola
irina [24]
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Littman LLC placed in service on July 29, 2019, machinery and equipment (seven-year property) with a basis of $600,000. Littman'
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Which method of analysis does not classify variables as dependent or independent?
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Answer:

C) cluster analysis

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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.

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1 year ago
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