In: Statistics and Probability
A random sample of n1 = 16 communities in western Kansas gave the following information for people under 25 years of age.
x1: Rate of hay fever per 1000 population for people under 25
96 | 88 | 122 | 130 | 90 | 123 | 112 | 93 |
125 | 95 | 125 | 117 | 97 | 122 | 127 | 88 |
A random sample of n2 = 14 regions in western Kansas gave the following information for people over 50 years old.
x2: Rate of hay fever per 1000 population for people over 50
93 | 110 | 103 | 99 | 113 | 88 | 110 |
79 | 115 | 100 | 89 | 114 | 85 | 96 |
x1 | = 109.38 |
s1 | = 15.84 |
x2 | = 99.86 |
s2 | = 11.84 |
What is the value of the sample test statistic? Compute the corresponding z or t value as appropriate. (Test the difference μ1 − μ2. Do not use rounded values. Round your answer to three decimal places.)
people under 25 ( X ) | Σ ( Xi- X̅ )2 | people over 50 ( Y ) | Σ ( Yi- Y̅ )2 | |
96 | 179.0244 | 93 | 43.1649 | |
88 | 457.1044 | 110 | 108.7849 | |
122 | 159.2644 | 103 | 11.7649 | |
130 | 425.1844 | 99 | 0.3249 | |
90 | 375.5844 | 113 | 180.3649 | |
123 | 185.5044 | 88 | 133.8649 | |
112 | 6.8644 | 110 | 108.7849 | |
93 | 268.3044 | 79 | 423.1249 | |
125 | 243.9844 | 115 | 238.0849 | |
95 | 206.7844 | 100 | 0.1849 | |
125 | 243.9844 | 89 | 111.7249 | |
117 | 58.0644 | 114 | 208.2249 | |
97 | 153.2644 | 85 | 212.2849 | |
122 | 159.2644 | 96 | 12.7449 | |
127 | 310.4644 | |||
88 | 457.1044 | |||
Total | 1750 | 3889.7504 | 1394 | 1793.4286 |
Mean X̅ = Σ Xi / n
X̅ = 1750 / 16 = 109.38
Sample Standard deviation SX = √ ( (Xi - X̅
)2 / n - 1 )
SX = √ ( 3889.7504 / 16 -1 ) = 16.1
Mean Y̅ = ΣYi / n
Y̅ = 1394 / 14 = 99.57
Sample Standard deviation SY = √ ( (Yi - Y̅
)2 / n - 1 )
SY = √ ( 1793.4286 / 14 -1) = 11.75
x1 | = 109.38 |
s1 | = 16.10 |
x2 | = 99.57 |
s2 | = 11.75 |
Test Statistic :-
t = 1.922