Answer:
The correction entries shall be as follows,
1. Service Revenue Dr. $ 920
Customer Account Cr. $ 920
2. Store Purchases Dr. $1,180
Accounts Payable Dr.$340
Supplies Account Cr. $ 1,520
Explanation:
1. The service revenue account was overstated and customer account understated. therefore by debiting service revenue and by crediting customer account, both have been restated at their actual position.
2. The accounts payable was overstated by $ 340 (1,180-1520).it is rectified by debiting with $ 340. Whereas the supplies account was wrongly debited therefore that impact of $1,520 reversed and actual store purchases debited with actual amount of $1,180
Answer:
$6,840,000
Explanation:
12/31/21 12/31/22
$2260000 $3200000
taxable income for 2022 = $5,900,000
Ivanhoe's pretax financial income = 2022 taxable income + (temporary differences 2022 - temporary differences 2021) = $5,900,000 + ($3,200,000 - $2,260,000) = $5,900,000 + $940,000 = $6,840,000
A taxable temporary difference will affect future taxable amounts when determining a profit or loss.
Answer:
1. Financial Analysis
2. Marketing-Information Management
Explanation:
A school-based enterprise often referred to as SBE is an entrepreneurial undertaking in a school setting that participates in goods/services delivery to address the needs of the market.
SBEs are organized and regulated by students as practical learning laboratories that incorporate National Curriculum Standards in various departments such as marketing, finance, hospitality or management.
Hence, the full 10 School Based Enterprise instructional Units are the following:
1. Financial Analysis
2. Marketing-Information Management
3. Operations
4. Market Planning
5. Product/Service Management
6. Pricing
7. Distribution/Channel Management
8. Promotion
9. Selling
10. Human Resources Management
Answer:
Kindly check explanation
Explanation:
Raw or original data are usually not readily usable largely because they are usually untidy. These include the data format, unnecessary inclusions in data such as signs and symbols and so on.
Data preprocessing involves the series of operations performed on data before using the to run analytics.
They include :
Data cleaning : This involves the removal of missing data points or filling them with appropriate values,
Data integration : when using data from different sources, this data would have to be combined or merged appropriately.
Data transformation : Data may need to be transformed in other make it usable for its intended purpose. Transformation techniques include standardized or normalized, one hot encoding and so on.
Data Reduction : this include principal componnent analysis and other attribute selection processes.
Analytics has proven to be an important tool in various sectors and industries such as business, technology with its ability to make model based prediction enabling business to move further ahead in production and Decison making, hence driving revenue and growth
