Question
The first picture contains the whole math problem. The second picture contains only b which I need the answer for. The p-value has a dropdown option sonesse choose the correct answer from there. THANKS IN ADVANCE!!!
companies reported in the Wall Street A shareholders group, in lodging a protest, claimed that the mean tenure for a chief executive office (CEO) was at least seven years. A survey of Journal found a sample mean tenure of 6.68 years for CEOs with a standard deviation of 7.31 years a. Formulate hypotheses that can be used to challenge the validity of the daim made by the shareholders group. b. Assume 65 companies were included in the sample. what is the p-value for your hypothesis test? Enter negative value as negative number t-value(to 3 decimals) p-value 1 -Selet your answer c. At 0.02, what is your conclusion Select your answer the null hypothesis. We Select our anwwerenough evidence to disprove the shareholder groups diaim.
b. Assume 65 companies were included in the sample. What is the p-value for your hypothesis test? Enter negative value as negative number. 3 (to 3 decimals) t-value p-value Select your answer Select your answer lower than ,005 between ,005 and.01 between ,01 and .025 c. At α sion? We [ーSelect your answer. , 3 enough evidence to disprove the shareholder groups claim. - Select y between .023 and.0s ll hypothesis. between .05 and 10 between .10 and 20 greater than :20
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Answer #1

Solution:

Given:

Sample size = n = 65

Sample Mean = ar{x}=6.68

Sample Standard Deviation = s = 7.31

We have to test if the mean tenure for a chief executive office (CEO) is at least 7 years.

Part a) state H0 and Ha:

Ho : μ > 7

H_{a}: mu < 7

Part b) To find the p-value, we need to find t test statistic value:

t=rac{ar{x}-mu }{s /sqrt{n}}

6.68-7 7.31/V65

-0.32 7.31/8.06226

0.32 0,90669

t0353

p-value:

df = n - 1 = 65 - 1 = 64

Use following excel command to get p-value:

=T.DIST( x , df , cumulative)

=T.DIST( -0.353 , 64 , TRUE)

=0.3626

Thus p-value greater than 0.20 is correct choice.

We can use t table as below:

df = 64 is not listed in t table, so we look for its previous df = 60 row and find interval in which absolute t = 0.353 fall.

and then we find corresponding one tail area( since this is one tailed test) for p-value interval.

tTable cum. prob 0.76 80 t86 ot76 ne-tai 0.500.25 0.20 0.15 0.10 0.05 0.025 two-tails 1.00 0.0 0.40 0.30 0.20 0.10 0.05 10.000 1.000 1.376 1.963 3.078 6.314 12.71 2 0.000 0.6 1.061 1.386 1.886 .920 4.303 0.978 1.250 1.638 2.353 3.182 4 0.000 0.4 0.94 1.190 533 2.132 2.776 0.920 .156 1.476 2.015 2.571 6 0.0p0 0.8 0.906 1.134 1.440 1.943 2.447 7 0.000 0.711 0.896 1.119 1.415 1.895 2.365 8 0.000 0.706 0.889 1.108 .397 1.860 2.306 9 0.000 0.703 0.883 1.100 1.383 1.833 2.262 10 0.000 0.7D0 0.879 1.093 1.372 1.812 2.228 110.000 0.697 0.876 1.088 .363 1.796 2.201 0.873 1.083 1356 1.782 2.179 130.000 0.64 0.870 1.079 1.350 1.71 2.160 14 0.000 0.692 0.868 1.076 1.345 76 2.145 0.866 1.074 34 75 2.131 16 0.000 0.690 0.865 1.071 1.337 1.746 2.120 17 0.000 0.689 0.863 1.069 1.333 1.740 2.110 18 0.000 0.638 0.862 1.067 .330 1.734 2.101 19 0.0p0 0. 8 0.861 1.066 1.328 1.729 2.093 200.000 0.687 0.860 1.064 .325 1.725 2.086 0.859 .063 1.323 1.721 2.080 221 0.0b0 0. 6 0.858 1.061 1.321 1.717 2.074 23 0.000 0.685 0.858 1.060 319 1.7142.069 241 0.0 0 0.ф5 0.857 1.059 1.318 1.711 2.064 25 0.000 0.634 0.856 1.058 16 .708 2.060 0.856 1.058 1.315 1.706 2.056 27 0.000 0.684 0.855 1.057 1.314 1.703 2.052 28 0.000 0.63 0.855 1.056 1313 1.701 2.048 29 0.000 0.6 3 0.854 055 311 1.699 2.045 30 0.000 0.63 0.854 1.055 .310 1.697 2.042 0.61 0.85 1.050 .303 1.684 2.021 60-0.000 0.679 0.848 1.045 29 2.000 1.990 0. 27 12 0.000 0. 0.695 15 0.000 0.91 0G86 26 0.000 0.634 40 0.000 80 0.000 0.678 0.846 1.043 1.292 1.664

From above t table, t = 0.353 fall in between 0.000 and 0.679 and it corresponds to one tail area between 0.25 and 0.50

Thus p-value interval is 0.25 to 0.50

That is p-value is greater than 0.20

Part c)

Since p-value > 0.20 which means p-value > 0.02 level of significance , hence we failed to reject null hypothesis.

Thus we get:

Fail to reject the null hypothesis, we do not have enough evidence to disprove the shareholders group claim.

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