The average price of a house in the u.s. is $265,000. this statement describes an Inferential Statistic.
Statistical inference is the technique of using information analysis to infer houses of an underlying distribution of possibility. Inferential statistical evaluation infers homes of a population, for instance by trying out hypotheses and deriving estimates.
Inferential facts are regularly used to evaluate the differences between the remedy businesses. Inferential facts use measurements from the pattern of topics within the test to evaluate the treatment organizations and make generalizations approximately the bigger population of subjects. inferential statistics are used to decide if there's a good-sized distinction between the method of businesses and the way they're associated. T-tests are used while the facts sets comply with a regular distribution and have unknown variances, just like the records set recorded from flipping a coin one hundred instances.
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Answer: should be protected because their account is fully insured by the FDIC.
Explanation:
From the question, we are informed that Xavier and Alyssa kept about $55,000 in a savings account at Bigbux Bank, the bank failed and filed for bankruptcy but that the bank FDIC member bank.
Based on the above scenario, they'll be protected because their account is fully insured by the FDIC. It should be noted that the Federal Deposit Insurance Corporation helps in insuring several bank deposits and in case of bank failure, the depositors will be paid or the accounts of the bank will have to be transferred to some other bank.
Answer:
A. Multifactor productivity
Original Value of output 2500 un. x $200/un. = $500,000 Value of input 2500 un x $120/un. = $300,000 Multi-factor productivity $500,000/$300,000 = 1.67 Overtime Value of output 4000 un. x $200/un. = $800,000 Value of input 4000 un. x $144/un. = $576,000 Multi-factor productivity $800,000/$576,000 = 1.39 Multi-factor productivity (1.67 – 1.39) / 1.67 = 16.8% decrease
B. LABOR PRODUCTIVITY
Original Value of output 2500 un. x $200/un. = $500,000 Input = (100 people x 40 hr/person) = 4000 hours Labor productivity $500,000/4000 hr = $125/hr Overtime Value of output 4000 un. x $200/un. = $800,000 Input = (100 people x 72 hr/person) = 7200 hours Labor productivity $800,000/7200 hr = $111/hr Labor productivity ($125/hr – $111/hr) / $125/hr = 11.1% decrease
C.GROSS PROFITS
Original $500,000 - $300,000 = $200,000 Overtime $800,000 - $576,000 = $224,000
$24,000 increase
<em>If the marketing managers at Peyton Bike's Inc. decide to sell each bike at a price lower than $2,000 per unit</em><em>, a shortage of bikes will be created.</em>
<h3>Why are bikes in short supply?</h3>
As a result, additional problems like plant shutdowns and disruptions as well as the unheard-of increase in bike orders during the peak of the coronavirus pandemic have added to the supply chain difficulties. The sector has never before experienced such a massive increase in demand as it has over the past two years.
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