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Hypothesis test for a Population Mean, Sigma Known If the population standard deviation is known, we can directly calculate the standard deviation of the sampling
Hypothesis test for a Population Mean, Sigma Known If the population standard deviation is known, we can directly calculate the standard deviation of the sampling distribution (the standard error of the estimate), and use the standardized normal distribution to get a z multiple, using the Excel function NORMSINV. We can then calculate p for each of the three possible test conditions, and compare it to each level of alpha to see whether the null hypothesis should be rejected. Inputs -Hypothesized Population Mean: Population Standard Deviation (sigma): Sample size (n): Sample Mean (X-bar) 295 <-- Input the appropriate number for your situation 12 <-- Input the appropriate number for your situation 50 <-- Input the appropriate number for your situation 297.6 <-- Input the appropriate number for your situation Intermediate Calculations -Standard Error of the Estimate: 1.69705627 Test Statistic (z): 1.53206469 Results -- For the Alpha level given, H0 should be Alpha: 0.01 not rejected One tailed, H0: Mu =>295, p= 0.9372 One tailed, H0: Mu <=295, p= 0.0628 not rejected Two-tailed, H0: Mu = 295, p = 0.1255 not rejected timate), cel mpare it to ate number for your situation ate number for your situation ate number for your situation ate number for your situation pha level given, H0 should be 0.05 not rejected 0.1 not rejected not rejected Rejected not rejected not rejected Hypothesis test for a Population Mean, Sigma Unknown If the population standard deviation is not known, we must use the sample standard deviation as an estimate and use it to calculate the standard deviation of the sampling distribution (the standard error of the estimate). We also use the t distribution to get a multiple corresponding to the desired confidence level, using the Excel function TINV. We can then calculate p for each of the three possible test conditions, and compare it to each level of alpha to see whether the null hypothesis should be rejected. Inputs -Hypothesized Population Mean: Sample Standard Deviation (s): Sample size (n): Sample Mean (X-bar) 7 <-- Input the appropriate number for your situation 1.05 <-- Input the appropriate number for your situation 60 <-- Input the appropriate number for your situation 7.25 <-- Input the appropriate number for your situation Intermediate Calculations -Standard Error of the Estimate: 0.135554 Test Statistic (t): 1.844278 Degrees of Freedom (d.f.): 59 Results -- For the Alpha level given, H0 should be Alpha: 0.01 0.05 not rejected not rejected One tailed, H0: Mu =>7, p= 0.9649 One tailed, H0: Mu <=7, p= 0.0351 not rejected Rejected Two-tailed, H0: Mu = 7, p = 0.0702 not rejected not rejected our situation our situation our situation our situation 0 should be 0.1 not rejected Rejected Rejected Hypothesis Tester - Single Sample Hypothesis test for a population proportion From a sample proportion, we can calculate the standard deviation of the sampling distribution (the standard error of the estimate) and use the standardized normal distribution to get a z multiple, using the Excel function NORMSINV. We can then calculate p for each of the three possible test conditions and compare it to each level of alpha to see whether the null hypothesis should be rejected. Inputs: Hypothesized population proportion: 0.35 Sample Proportion (p-bar) 0.4 Sample Size (n) 30 <-- Input the appropriate number for your situation <-- Input the appropriate number for your situation <-- Input the appropriate number for your situation Intermediate Calculations: Standard Error of the Estimate: 0.0871 Test statistic (z): 0.5741692518 Results: One tailed, H0: P => 0.35, p = 0.7171 For the Alpha level given, H0 should be 0.01 not rejected One tailed, H0: P <= 0.35, p = 0.2829 not rejected Two-tailed, H0: P = 0.35, p = 0.5659 not rejected Alpha: ate number for your situation ate number for your situation ate number for your situation he Alpha level given, H0 should be: 0.05 0.1 not rejected not rejected not rejected not rejected not rejected not rejected 17c9da1d5079f467a67006bd6bc26c3d17b94a40 Date Open High Low Close Adj Close Volume 12/31/2012 27.700001 28.41 27.700001 28.35 25.883875 5677700 1/2/2013 29.08 29.26 28.85 29.26 26.714716 7992800 1/3/2013 28.66 28.700001 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32.039696 32.094749 31.544233 4807000 3896100 6889700 3635900 3264600 3790700 4326400 4081300 3749800 3981500 3310100 2635900 3957400 7121800 6095900 6624700 3437700 5013800 4214800 3356000 2894000 5382600 4400300 6691800 3917300 6497400 4266600 4665900 2955600 2691600 3129200 2631300 3972400 5850100 2919700 3982000 3277100 3646100 2327200 2785800 2659700 4646100 2737300 2511100 1839200 2693300 2443800 3532100 4711600 2630900 1686700 1900200 3115300 17c9da1d5079f467a67006bd6bc26c3d17b94a40 8/16/2013 8/19/2013 8/20/2013 8/21/2013 8/22/2013 8/23/2013 8/26/2013 8/27/2013 8/28/2013 8/29/2013 8/30/2013 9/3/2013 9/4/2013 9/5/2013 9/6/2013 9/9/2013 9/10/2013 9/11/2013 9/12/2013 9/13/2013 9/16/2013 9/17/2013 9/18/2013 9/19/2013 9/20/2013 9/23/2013 9/24/2013 9/25/2013 9/26/2013 9/27/2013 9/30/2013 10/1/2013 10/2/2013 10/3/2013 10/4/2013 10/7/2013 10/8/2013 10/9/2013 10/10/2013 10/11/2013 10/14/2013 10/15/2013 10/16/2013 10/17/2013 10/18/2013 10/21/2013 10/22/2013 10/23/2013 10/24/2013 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33.880001 33.73 33.93 33.869999 33.73 32.290001 31.950001 32.009998 31.92 31.59 31.91 32.299999 32.290001 32.73 33.040001 33.009998 33.150002 32.98 33.330002 33.389999 33.720001 32.849998 32.880001 32.27 32.110001 32.110001 32.41 32.299999 32.07 32.369999 32.380001 32.220001 32.540001 32.27 32.150002 31.969999 32.650002 32.650002 33.09 33.150002 33.34 33.450001 33.860001 34.439999 34.380001 33.599998 33.09 33.290001 33.560001 33.790001 33.93 34.599998 33.98 34.23 33.880001 34.349998 34.240002 33.77 32.439999 32.299999 32.419998 32.02 31.9 32.360001 32.549999 32.91 33 33.16 33.259998 33.220001 33.310001 33.599998 33.959999 34.169998 33.139999 32.939999 32.549999 32.48 32.630001 32.639999 32.599998 32.419998 32.799999 32.650002 32.59 32.990002 32.290001 32.16 32.27 33.349998 33.509998 33.43 33.209999 33.84 34.029999 34.669998 34.560001 34.59 33.709999 33.360001 33.709999 34.07 34.02 34.139999 Page 4 31.746088 2488100 31.177231 2564800 31.406614 2829900 31.085484 2575100 31.516706 1796900 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5/29/2015 6/1/2015 6/2/2015 6/3/2015 6/4/2015 6/5/2015 6/8/2015 6/9/2015 6/10/2015 6/11/2015 6/12/2015 6/15/2015 6/16/2015 6/17/2015 6/18/2015 6/19/2015 6/22/2015 6/23/2015 6/24/2015 6/25/2015 6/26/2015 6/29/2015 6/30/2015 7/1/2015 7/2/2015 7/6/2015 7/7/2015 7/8/2015 7/9/2015 40.759998 40.669998 40.68 41.02 41.610001 41.75 41.73 42.259998 42.32 41.790001 42 42.290001 42.490002 42.59 43.040001 42.84 42.200001 42.990002 43.169998 42.830002 42.880001 42.849998 42.639999 42.970001 42.98 42.849998 41.98 42.470001 42.68 43 43.110001 42.93 43.639999 44.049999 43.779999 43.369999 43.790001 44.459999 43.900002 43.720001 44.049999 44.529999 44.369999 44.290001 44.009998 43.049999 43.220001 43.709999 43.439999 42.869999 43.450001 42.57 43.060001 40.830002 41.209999 41.169998 41.889999 41.810001 41.84 42.450001 42.860001 42.48 41.919998 42.380001 42.799999 42.779999 43 43.150002 42.91 42.860001 43.669998 43.369999 43.110001 43.16 42.860001 43.09 43.099998 43.130001 42.919998 42.459999 43.099998 43 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11/16/2015 11/17/2015 11/18/2015 11/19/2015 11/20/2015 11/23/2015 11/24/2015 11/25/2015 11/27/2015 11/30/2015 12/1/2015 12/2/2015 12/3/2015 12/4/2015 12/7/2015 12/8/2015 37.5 38.400002 38.310001 37.369999 38.110001 38.259998 37.34 38.669998 39.110001 39.48 39.290001 39.830002 39.330002 39.310001 39.220001 38.880001 42 39.900002 40.18 40.759998 40.459999 41.259998 41.610001 41.009998 41.150002 42.419998 42.34 41.75 42.279999 42.77 42.580002 44.73 44.27 43.080002 44.110001 43.220001 42.529999 41.880001 43 43.169998 43.759998 43.75 43.5 43.189999 43.349998 43.41 43.52 43.740002 44.110001 43.52 42.93 44.099998 43.34 37.779999 38.720001 38.43 37.619999 38.27 38.68 38.290001 39.349998 39.560001 39.880001 39.950001 40.130001 39.66 39.650002 39.330002 39.52 42 40.700001 40.830002 40.959999 41.439999 41.77 41.779999 41.419998 42.880001 42.900002 42.43 42.709999 42.73 42.959999 43.68 45.240002 44.299999 43.84 44.119999 43.32 42.73 42.799999 43.490002 43.830002 43.849998 43.939999 43.91 43.560001 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42.935558 42.857243 43.356495 43.219444 43.24881 41.819588 42.416725 42.671246 42.240524 42.87682 42.847454 43.78722 44.766144 44.824883 44.726982 45.18708 44.668251 2739100 3110900 2344200 3709400 2370800 2303600 4873300 3156400 2383600 1673600 2249800 2058800 3561300 3281600 4174000 3390800 2534000 2031700 2068300 1975500 2495700 3662900 2850500 2513600 3063300 2983700 2312100 2196100 2831900 2794700 3200300 4002000 4760000 4491400 3277800 4120000 2429400 2073300 3958400 3201800 3346600 3765500 2895300 2495700 2477300 3614500 3526600 4735300 4896800 3875100 2819400 2712000 3032200 17c9da1d5079f467a67006bd6bc26c3d17b94a40 10/12/2016 10/13/2016 10/14/2016 10/17/2016 10/18/2016 10/19/2016 10/20/2016 10/21/2016 10/24/2016 10/25/2016 10/26/2016 10/27/2016 10/28/2016 10/31/2016 11/1/2016 11/2/2016 11/3/2016 11/4/2016 11/7/2016 11/8/2016 11/9/2016 11/10/2016 11/11/2016 11/14/2016 11/15/2016 11/16/2016 11/17/2016 11/18/2016 11/21/2016 11/22/2016 11/23/2016 11/25/2016 11/28/2016 11/29/2016 11/30/2016 12/1/2016 12/2/2016 12/5/2016 12/6/2016 12/7/2016 12/8/2016 12/9/2016 12/12/2016 12/13/2016 12/14/2016 12/15/2016 12/16/2016 12/19/2016 12/20/2016 12/21/2016 12/22/2016 12/23/2016 12/27/2016 45.580002 45.189999 45.23 45.09 45.18 45.580002 46.18 45.52 45.900002 45.330002 45.049999 45.889999 45.799999 45.43 45.5 45.080002 44.959999 44.959999 45.75 45.98 47.650002 48.689999 49.650002 50.970001 51.619999 51.959999 50.939999 51.299999 52 51.98 52.279999 52.32 51.57 51.73 5
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