Answer:
IT AFFECTS THE GOVERNMENT IN WAYS OF SUPPLIE ...... HOPE THIS HELPS
Answer:
Explanation:
Whenever you merely have one categorical variable within a single population, the goodness fit test is utilized. It's used to see if sample data matches a hypothesized or predicted distribution.
It's used to figure out how a particular phenomenon's observed value differs from the predicted value.
It can also be employed to make comparison of the observed sample to the sample distribution that should have been expected. It determines how closely the theoretical distribution corresponds to the empirical distribution.
Using this as an additional example that has not been discussed:
Consider a firm that produces a card deck. According to the company, 25% of its cards were clubs, 60% were diamonds but not hearts, and 15% were spades. We may collect a random sample of card decks and do a goodness of fit test to check if our sample distribution varied substantially from the company's reported distribution.
Answer:
None of the options are correct
Explanation:
The train would cost her, which is computed as:
= Cost + (Hours × Opportunity Cost)
= $400 + (4 hours × $15 per hour)
= $400 + $60
= $460
The driving would cost her, which is computed as:
= Cost + (Hours × Opportunity Cost)
= $250 + (6 hours × $15 per hour)
= $250 + $90
= $340
Savings = Train Cost - Driving Cost
= $460 - $340
=$120
None of the options are correct as the she would save $120.
Answer:
$45 million
Explanation:
Data provided in the question:
Book value of assets = $940 million
Market value of assets = $985 million
Book value of liabilities = $900 million
Market value of liabilities = $930 million
off-balance-sheet assets = $150 million
Off-balance-sheet liabilities = $160 million
Now,
Stockholders Net worth
= Market value of assets + Off balance sheet assets - Market value of liabilities - Off balance sheet liabilities
= $985 million + $150 million - $930 million - $160 million
= $45 million
