What impact did the social relief grant have on the unemployed people during coronavirus lockdown​

Bridgeport company began operations at the beginning of 2018. the following information pertains to this company. 1. pretax financial income for 2018 is $115,000. 2. the tax rate enacted for 2018 and future years is 40%. 3. differences between the 2018 income statement and tax return are listed below: (a) warranty expense accrued for financial reporting purposes amounts to $7,500. warranty deductions per the tax return amount to $2,200. (b) gross profit on construction contracts using the percentage-of-completion method per books amounts to $94,700. gross profit on construction contracts for tax purposes amounts to $67,100. (c) depreciation of property, plant, and equipment for financial reporting purposes amounts to $61,800. depreciation of these assets amounts to $75,700 for the tax return. (d) a $3,600 fine paid for violation of pollution laws was deducted in computing pretax financial income. (e) interest revenue recognized on an investment in tax-exempt municipal bonds amounts to $1,500. 4. taxable income is expected for the next few years. (assume (a) is short-term in nature; assume (b) and (c) are long-term in nature.) (a) prepare the reconciliation schedule for 2017 and future years. (b) prepare the journal entry to record income tax expense for 2017. (c) prepare the income tax expense section of the income statement beginning with “income before income taxes.” (d) determine how the deferred taxes will appear on the balance sheet at the end of 2017.

At present, the united states has an embargo against north korea because a. the two countries have extremely poor political relations. b. north korea will not adopt a capitalist government. c. north korean products are too difficult to use. d. north korea has an embargo on american products. e. products from north korea are in higher demand than american-made products.

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?