People can make poor investments, fail to add to their savings, and decide to spend their money rather than saving or investing.
Answer:
Feb. 1
Debit : Cash (48,000 x $52) $2,496,000
Credit : Preferred Stock (48,000 x $50) $2,400,000
Credit : Paid in excess of Par - Preferred Stock $96,000
July 1
Debit : Cash (66,000 x $56) $3,696,000
Credit : Preferred Stock (66,000 x $50) $3,300,000
Credit : Paid in excess of Par - Preferred Stock $396,000
Explanation:
With Par value stocks, any amount paid in excess of par is placed in a reserve - Paid in Excess of Par as shown in the journals above.
Answer:
Earning Satisfactory Profits
Explanation:
Based on the information provided within the qeustion it seems that the management of Fresnas Designs Inc. bases its pricing policy on Earning Satisfactory Profits. This is basically when a company revolves all their decisions around trying to make a reasonable level of profits that is consistent with the level of risk that they face. Which is what Fresnas is doing by pricing their products reasonably as opposed to pricing them higher even thought hey can.
Product Liability Law is the legal obligation of sellers to pay damages to individuals who are injured by defective or unsafe products.
The fixed budget indicates sales of $50,000. actual sales were $55,000. The variance is $5,000 favorable.
The variance is a measure of variability. it's far calculated by taking the average of squared deviations from the mean. Variance tells you the diploma of unfold in your information set. The more unfold the data, the larger the variance is in relation to the mean.
In opportunity idea and information, variance is the expectation of the squared deviation of a random variable from its populace imply or sample suggest. Variance is a measure of dispersion, that means it's far a degree of the way a long way a fixed of numbers is spread out from their average price.
Not like variety and interquartile range, variance is a measure of dispersion that takes into consideration the unfold of all information points in a data set. It is the degree of dispersion the most often used, in conjunction with the standard deviation, that is truly the rectangular root of the variance.
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