Answer:
The correct answer is (B)
Explanation:
Assurance refers to financial inclusion that gives compensation for goods and service. Assurance is partially different than insurance, assurance is partially implemented for an unlimited period. The company wants assurance because of the lack of confidence due to bad past experience. Assurance or insurance is usually provided to the customers to regain their confidence. In this scenario it is feasible to request a guarantee before placing next order.
Answer:
B) GNMAs are considered to be the riskiest of the agency issues
Explanation:
The Ginnie Mae or GNMA pass through securities are mortgage backed. The Great recession taught us that mortgage backed securities are not always 100% secure, but they are still considered secure investments basically because they are guaranteed by the US government. They are similar to the securities sold by the US Treasury.
Ginnie Mae basically guarantees mortgages using federal funds (from Federal Housing Administration and Department of Veterans Affairs).
Answer:
b. False
Explanation:
It is the opposite, when several systems operate in parallel, total system capacity is the lowest value of the individual system capacities.
For e.g., sectors A, B and C operate in parallel. Sector A can handle 100 units per hour, sector B can handle 150 units per hour and sector C can handle 75 units per hour. The system's capacity is 75 units per hour. If you want to operate at 100 units per hour, a queue will in sector C.
Answer:
they wanted to eliminate prices
Explanation:
hope this helped :)
a) Null hypothesis (
) for merrill lynch customers are given as
Alternative hypothesis:
t = 1.992
<h3>
What is null hypothesis?</h3>
- Conjectures used in statistical tests, which are formal techniques for drawing conclusions or making judgments based on data, include the null hypothesis and the alternative hypothesis.
- The hypotheses, which are based on a sample of the population, are suppositions regarding a statistical model of the population. The tests are essential components of statistical inference and are frequently used to distinguish between statistical noise and scientific claims when interpreting experimental data in science.
- The null hypothesis, which is the statement being tested in a test of statistical significance, is typically a declaration of "no effect" or "no difference," and the test of significance is intended to evaluate the strength of the evidence against it
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