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Sergio039 [100]
3 years ago
6

A distributor of personal computers has five locations in a city. In the year's first quarter, the sales in units were: Location

Observed Sales (units) North side 70 Pleasant Township 75 Southwick 70 I-90 50 Venice Avenue 35 Total 300 For a goodness-of-fit test that sales were the same for all locations, what is the critical value at the 0.01 level of risk

Business
1 answer:
iragen [17]3 years ago
3 0

Answer:

It is observed  that the value of test statistics (19.168) is greater than the critical value (13.277), thus the rejected hypothesis, H₀ at α = 0.01.

There is enough evidence to conclude or deduce that sales were the same for all locations

Explanation:

Solution

Given that:

Object: Test whether the sales were the same for all locations by applying 1% significance level.

The Null Hypothesis H₀ : Sales were the same for all locations

E₁ =  70 +75 +70+ 50 + 35/5 = 60

The Alternative Hypothesis Hₐ : Sales were not the same for all locations

Now,

The decision rule:

the Level of Significance be α = 0.01

Degrees of freedom is df= Number of categories -1

=5-1 = 4

Note: Kindly find an attached copy of part of  the work solution of this given question

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Asset A and B have expected returns of 5% and 3% per year respectively. Their annual volatilities are both 20% and the correlati
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Answer:

1. Weight of A=0.5, Weight of B= 0.5

2. Asset A has the highest shape ratio. The weight of A and B in the optimal risky portfolio that has the highest shape ratio is:

Weight of A= 0.105, Weight of B= 0.895

Explanation:

Expected return of Asset A= 5%Expected return of Asset A= 5%

Expected return of Asset B= 3%

Annual volatilities of Asset A= 20%

Annual votalities of Asset B= 20%

1. Correlation coefficient = 30% = 0.3 < 1

Risk Free Rate = 1% =0.01

1. Weight of A and B in portfolio with minimal risk is:

Weight of A= β^2B - Cov (XAXB) /β^2A + β^2B - 2Cov (XAXB)

Therefore,

CovXAXB = PAB (Volatility of A) (Volatility of B)

= 0.3 × 0.2 × 0.2

= 0.012

Hence,

Weight of A= (0.2)^2 - 0.012 / (0.2)^2 + (0.2)^2 - 2(0.012)

Weight of A= 0.04 - 0.012 / 0.04 + 0.04 - 0.024

= 0.028/ 0.08 - 0.024

= 0.028/ 0.056

=0.5

Weight of A = 0.5

Weight of B= 1 - Weight of A

Weight of B= 1 - 0.5

Weight of B= 0.5

2. Shape ratio of A= RA - Rf / β

= 0.05 - 0.01 / 2

= 0.04/2

= 0.02 =20%

Shape ratio of B= RB - Rf / β

= 0.03 - 0.01/ 2

0.02 / 2

=0.01 = 10%

So, Asset A has the highest shape ratio

Cov (XAXB) = PAB (Volatility of A) (Volatility of B)

= 0.03 × 0.2 × 0.1

= 0.006

Weight of A= β^2B - Cov (XAXB) /β^2A + β^2B - 2Cov (XAXB)

Weight of A = (0.1)^2 - 0.006 / (0.2)^2 + (0.1)^2 - 2(0.006)

= 0.01 - 0.006 / 0.04 +0.01 - 0.012

= 0.004/ 0.05 - 0.012

= 0.004/ 0.038

= 0.105

Weight of A = 0.105

Weight of B= 1 - 0.105

Weight of B= 0.895

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