Question

A European growth mutual fund specializes in stocks from the British Isles, continental Europe, and Scandinavia. The fund has

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Answer #1

Formula for calculating the standard score from a sample distribution :

n

z is the normal score.

μ is the population mean

x is the sample mean

n is the sample size

σ is the population standard deviation

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Ans a) Yes, x is a mean of a sample of n = 400 stocks. By the Central limit theorem, the x distribution is approximately normal.

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Ans b) 0.6228

Explanation:

n = 9\: \mu = 1.2\%\: \sigma = 1.4\%;\: 1\%<\bar{x}<2\%

P(1 <\bar{x} < 2) = P(Z < \frac{2-1.2}{\frac{1.4}{\sqrt{9}}})-P(Z <\frac{1-1.2}{\frac{1.4}{\sqrt{9}}})

= P(Z <1.71)-P(Z <-0.43)

=0.9564-0.3336

=0.6228 ans.

/* we can find probability using excel function: =NORM.S.DIST(1.71,TRUE) */

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Ans c) 0.7213

Explanation:

n = 18\: \mu = 1.2\%\: \sigma = 1.4\%;\: 1\%<\bar{x}<2\%

P(1 <\bar{x} < 2) = P(Z < \frac{2-1.2}{\frac{1.4}{\sqrt{18}}})-P(Z <\frac{1-1.2}{\frac{1.4}{\sqrt{18}}})

= P(Z <2.42)-P(Z <-0.61)

=0.9922-0.2709

=0.7213 ans.

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Ans d) c) Yes, probability increases as the standard deviation decreases.

Explanation:

Standard score for (b) \frac{\sigma}{\sqrt{n}} = \frac{1.4}{\sqrt{9}} =0.47

Standard score for (c) \frac{\sigma}{\sqrt{n}} = \frac{1.4}{\sqrt{18}} =0.33

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Ans e) 0.0078

P(\bar{x}>2\%) =1-P(Z <\frac{2-1.2}{\frac{1.4}{\sqrt{18}}} )

=1-P(Z <2.42 )

=1-0.9922

=0.0078

The probability of monthly percentage return is close to 0, which suggests it is unlikely to occur, but if it does it will shake up the market.

d) This is very unlikely if μ=1.2%. One would suspect that the European stock market may be heating up.

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