Question

In: Math

The price of a share of stock divided by the company's estimated future earnings per share...

The price of a share of stock divided by the company's estimated future earnings per share is called the P/E ratio. High P/E ratios usually indicate "growth" stocks, or maybe stocks that are simply overpriced. Low P/E ratios indicate "value" stocks or bargain stocks. A random sample of 51 of the largest companies in the United States gave the following P/E ratios†.

11 35 19 13 15 21 40 18 60 72 9 20
29 53 16 26 21 14 21 27 10 12 47 14
33 14 18 17 20 19 13 25 23 27 5 16
8 49 44 20 27 8 19 12 31 67 51 26
19 18 32

(a) Use a calculator with mean and sample standard deviation keys to find the sample mean x and sample standard deviation s. (Round your answers to one decimal place.)

x =
s =


(b) Find a 90% confidence interval for the P/E population mean μ of all large U.S. companies. (Round your answers to one decimal place.)

lower limit    
upper limit    


(c) Find a 99% confidence interval for the P/E population mean μ of all large U.S. companies. (Round your answers to one decimal place.)

lower limit    
upper limit    

Solutions

Expert Solution

Values ( X ) Σ ( Xi- X̅ )2
11 200.9732
35 96.5012
19 38.1492
13 148.2672
15 103.5612
21 17.4432
40 219.7362
18 51.5022
60 1212.6762
72 2192.4402
9 261.6792
20 26.7962
29 14.6192
53 774.1472
16 84.2082
26 0.6782
21 17.4432
14 124.9142
21 17.4432
27 3.3252
10 230.3262
12 173.6202
47 476.2652
14 124.9142
33 61.2072
14 124.9142
18 51.5022
17 66.8552
20 26.7962
19 38.1492
13 148.2672
25 0.0312
23 4.7372
27 3.3252
5 407.0912
16 84.2082
8 295.0322
49 567.5592
44 354.3242
20 26.7962
27 3.3252
8 295.0322
19 38.1492
12 173.6202
31 33.9132
67 1749.2052
51 666.8532
26 0.6782
19 38.1492
18 51.5022
32 46.5602
Total 1284 11969.4142

Part a)

Mean X̅ = Σ Xi / n
X̅ = 1284 / 51 = 25.2

Sample Standard deviation SX = √ ( (Xi - X̅ )2 / n - 1 )
SX = √ ( 11969.44 / 51 -1 ) = 15.5

Part b)

Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.1 /2, 51- 1 ) = 1.676
25.1765 ± t(0.1/2, 51 -1) * 15.4722/√(51)
Lower Limit = 25.1765 - t(0.1/2, 51 -1) 15.4722/√(51)
Lower Limit = 21.5454 ≈ 21.4
Upper Limit = 25.1765 + t(0.1/2, 51 -1) 15.4722/√(51)
Upper Limit = 28.8076 ≈ 28.8
90% Confidence interval is ( 21.5 , 28.8 )


Part c)
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.01 /2, 51- 1 ) = 2.678
25.1765 ± t(0.01/2, 51 -1) * 15.4722/√(51)
Lower Limit = 25.1765 - t(0.01/2, 51 -1) 15.4722/√(51)
Lower Limit = 19.3745 ≈ 19.4
Upper Limit = 25.1765 + t(0.01/2, 51 -1) 15.4722/√(51)
Upper Limit = 30.9785 ≈ 31.0
99% Confidence interval is ( 19.4 , 31.0 )



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