The table below gives results from the times (in seconds) that runners Jared and Derek have...
The table below gives results from random samples of weights (in pounds) of men and women. Pop Gender 1 Men 2 Women n s 40 8.7 33 10.6 At a 0.05, test the claim that weights of men are more consistent than weights of women. 1. The alternate hypothesis is Ha: Osı > S2 O si <S2 Οσι < σ2 Oo > 02 2. This is a left tailed test with: df and dfa 3a. The STS (to 2 decimals)...
The table below contains the results from random samples of two populations. Sample 51.6 40.3 36.9 34.7 34.7 40.2 40.2 43 32.6 Sample 2 32.3 35.8 37.7 40.8 40.5 45.1 34.2 29.3 43 45 365 30.5 28.2 44.7 29.4 29.4 43.7 44.7 41.5 33.5 At a = 0.10, test the claim that the standard deviation of Population 1 is less than the standard deviation of Population 2. 1. The alternate hypothesis is Ha: Os <s Οσι < σ2 OO <o...
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...
The table below gives results from random samples of salaries in two cities. Pop City 1 San Francisco 2 Houston s($) 402947 36 | 3739 At a = 0.01, test the claim that salaries in San Francisco have the same variation as salaries in Houston. 1. The null hypothesis is Ho: O $i = 52 O I = 12 OH = H2 O 01 = 02 2. This is a two tailed test with: dfn and dfa- 3a. The STS...
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...
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...
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 =...
x1 10 19 12 20 16 x2 21 16 13 19 13 20 19 x3 24 18 20 19 22 21 x4 19 20 16 25 x5 23 26 26 24 28 23 23 Test at a = 0.01 to determine if the population means are all the same. 1. The null hypothesis is Ho: Oui = 2 = 43 Oui = ly = H3 = 44 OM = H2 = H3 = HA = Hs 2. This is a...
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...