Answer to Question #224123 in Statistics and Probability for Carrie

Question #224123

A financial analyst wished to establish whether the mean return on investment per cent (RoI%)

of the financial companies is greater than the mean RoI% of the manufacturing companies. The

financial analyst randomly sampled 28 financial companies and found their sample mean RoI%

to be 18:714 % with a standard deviation of 9:645%. For a random sample of 24 manufacturing

companies, the sample mean RoI% was 15:125 with a sample standard deviation of 8:823%.

This information is summarized below

Sample 1: Financial Sample 2: Manufacturing

n1 D 28 n2 D 24

x1 D 18:714 x2 D 15:125

S1 D 9:645 S2 D 8:823

Assuming that the population variances are equal, the 95% confidence interval for the difference

between two population means is

1. .5:987I 12:098/

2. .3:589I 5:1838/

3. .0:9678I 4:657/

4. .


1
Expert's answer
2021-08-11T19:33:24-0400

CI=X1ˉX2ˉ±t(1α2),n1+n22sp(1n1+1n2CI=\bar {X_1}-\bar{X_2}\pm t_{(1-\frac{\alpha}{2}),n_1+n_2-2}sp(\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}

sp=(n11)s12+(n21)s22n1+n22sp=\sqrt{\frac{(n_1-1)s_1^2+(n_2-1)s_2^2}{n_1+n_2-2}}

Xˉ1=18.714\bar X_1=18.714

s1=9.645s_1=9.645

n1=28n_1=28

Xˉ2=15.125\bar X_2=15.125

s2=8.823s_2=8.823

n2=24n_2=24

sp=(27×9.6452)+(23×8.8232)50sp=\sqrt{\frac{(27\times9.645^2)+(23\times 8.823^2)}{50}}

=9.276=9.276

t0.025,50=2.009t_{0.025,50}=2.009

CI=18.71415.125±(2.009×9.276×128+124)CI=18.714-15.125\pm(2.009\times 9.276\times\sqrt{\frac{1}{28}+\frac{1}{24}})

=3.589±5.1827=3.589\pm5.1827

=[-1.594,8.772]


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