Answer:
a) 15 to 35 approximately 95%
(b) 10 to 40 approximately almost all
(c) 20 to 30 approximately 68%
Explanation:
The data have a bell-shaped distribution which means the data is equally distributed on both sides of the mean.
We have the mean at 25 and a standard deviation of 5 which means that the interval is for each of the values of 5 .
The mean would be u and
The first value would be u ±σ = 25 ± 5= 20 and 30 (68 % )
The second value will be u ± 2σ= 25± 10 = 15 and 35 (95%)
The third value will be u ± 3σ= 25 ± 15 = 10 and 40 (99.7 % almost all)
In the figure below the light blue region gives u ±σ on both sides of the mean
, dark blue gives u ± 2σ values on both sides of the mean and grey gives
u ± 3 σ values on both sides of the mean.
It is obvious that 68 % of the data is contained in the u ±σ light blue region, 95 % of the data in the u ± 2σ dark blue including light blue and 99.7 % in the u ± 3σ all colored regions.
Answer:
The multiple choices are:
$5,006.00
B $5,018.75
C $5,025.00
D $5,028.75
The correct option is B,$5018.75
Explanation:
The key to unlock this question is to know that government securities are usually quoted in 1/32 nds ,which means that in calculating the price the number after 100 is is multiplied by 1/32.
1M means 1000,while 5M means 5000
The price of 5M=5000*(100+12*1/32)%
The price of 5M=5000*(100+0.375
)%
The price of 5M=$5018.75
In this case the bid price which is lower is used when selling securities to the dealer
Answer: option b
Explanation: In simple words, collinearity refers to the condition under which some of the Independent variables in the model are related to each other. This international between independents variables can result into incorrect results while fitting the model.
Therefore, collinearity causes problem as the analyst prepares a model on the basis that there will be two inputs one is dependent another is independent but due to this phenomenon the expected input structure collides.
Hence from the above we can conclude that the economist should be concerned with col linearity.
Option B
Brian could be considered frictionally unemployed.
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Explanation:</u></h3>
Workers dropping their jobs or fresh workers enrolling the workforce both append to frictional unemployment. Frictional unemployment usually transpires even in a developing, solid economy. The frictional unemployment rate is determined by dealing with the workers actively seeing jobs by the total labor force.
Frictional unemployment is advantageous to an economy since it's a sign that individuals are attempting more desirable states. Frictional unemployment can be conquered by suddenly rivaling proposed job seekers with job opportunities. Frictional unemployment isn't devastating to economics.