using excel>data>data analysis>ANOVA
we have
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
x1 | 5 | 77 | 15.4 | 18.8 | ||
x2 | 7 | 121 | 17.28571 | 10.90476 | ||
x3 | 6 | 124 | 20.66667 | 4.666667 | ||
x4 | 4 | 80 | 20 | 14 | ||
x5 | 7 | 173 | 24.71429 | 3.904762 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 314.7475 | 4 | 78.68686 | 8.23262 | 0.00025 | 4.218445 |
Within Groups | 229.3905 | 24 | 9.557937 | |||
Total | 544.1379 | 28 |
1 ) the null hypothesis is given by option C
2 ) df n = 4 and df d = 24
3 a) The STS = 314.748
3 b ) the p value is 0.000
4 ) Reject Ho
4b ) option D is true
x 1 11 20 16 19 15 16 10 x2 17 21 17 21 19 21 14 x3 19 22 21 22 24 23 X4 25 16 17 18 18 x5 26 18 18 22 21 Test at a = 0.10 to determine if the population means are all the same. 1. The null hypothesis is Ho: OM = M2 = M3 = Hy = 45 Oui = ly = H3 = 44 OH = H2 = 43 2. This...
Houston 310 325 334 383 319 306 Denver 315 336 401 404 Miami 374 369 327 387 320 New York City Pittsburg 330 416 383 377 368 406 382 367 335 The table gives prices of houses in 5 cities, in $1000's. At a = 0.01, test the claim that the population mean price is the same for each city. 1. The null hypothesis is Ho: OH = H2 = 43 OH = H2 = H3 = 44 OM =...
| Ohio 40 42 42 37 45 North Dakota 44 44 46 44 42 41 Montana 46 44 41 44 39 42 Indiana 42 39 40 43 41 The table gives the ages of randomly chosen people from 4 different states At a = 0.01, determine whether there is a difference in mean ages. 1. The null hypothesis is Ho: OH = H2 = 3 OH = H2 = H3 = H4 = 45 Oui = ly = H3 =...
Amber 66 69 70 66 Elizabeth Holly 66 69 70 71 71 71 70 69 69 68 The table gives the resting pulse for 3 different women, taken at multiple times. At a = 0.05, determine whether the women appear to have the same resting pulse. 1. The null hypothesis is Ho: Opi = 2 = 3 = 44 = 45 OH = uy = 43 OH = H2 = H3 = HA 2. This is a right tailed test...
Emily 67 66 68 67 69 Mariah 71 68 66 70 68 70 Hanna 68 70 69 69 Holly 70 73 73 69 Krystal 70 74 71 70 72 The table gives the resting pulse for 5 different women, taken at multiple times. At a = 0.05, determine whether the women appear to have the same resting pulse. 1. The null hypothesis is Ho: Ou = H2 = 3 = 14 OH = H2 = H3 Hi = H2 =...
A random sample of size ni = 30 yields a standard deviation of 8.5, and a random sample of size n2 = 31 yields a standard deviation of 6.6. At a = 0.01, test the claim that the standard deviation of Population 1 is not the standard deviation of Population 2. 1. The alternate hypothesis is Ha: Oo o 0917 02 Os s Osi #s2 2. This is a two tailed test with: dfn= and dfa - 3a. The STS...
A random sample of size ny = 36 yields a variance of 6.2, and a random sample of size n2 = 37 yields a variance of 8.4. At a = 0.01, test the claim that the variance of Population 1 is less than the variance of Population 2. 1. The alternate hypothesis is Ha: si < 82 Οσι < σ2 oo <o Osi <s 2. This is a left tailed test with: dfn- and dfa - 3a. The STS (to...
Use the accompanying partially completed two-way ANOVA summary table to complete parts a through e below. Click the icon to view the table a) Complete the two-way ANOVA table below. Sum of Degrees of Mean Sum of Source Squares Freedom Squares Factor A 140 Factor B Interaction 20 Error 360 Total 600 44 (Type integers or decimals.) b) How many replications are present for each cell? c) Using c = 0.01, is there significant interaction between Factors A and B?...
The table below gives results from the times (in seconds) that runners Jared and Derek have taken to complete random samples of 10 kilometer races. Pop 1 2 Runner n Jared 29 Derek 28 30 48 At a 0.05, test the claim that Jared's times are less consistent than Derek's times. 1. The alternate hypothesis is Ha: Os > s Oo > o Oo <ož Os < s 2. This is a right tailed test with: df and dfa- 3a....
The table below contains the results from random samples of two populations. Sample 1 38.1 35.3 43.2 40.4 43.8 wa 34.9 39.7 ca 35.8 293 41.3 47.1 45.4 35 Sample 2 35.1 42.4 33.1 41.9 53.5 10 40.6 18 33.8 20 48.9 23 33.6 18.5 44.5 53.7 At a = 0.10, test the claim that the variance of Population 1 is not the same as the variance of Population 2. 1. The alternate hypothesis is Ha: 001702 81 #82 Oss...