Answer:
55
Step-by-step explanation:
Let x represent the middle integer. Then the smallest is x-2 and the largest is x+2. Your requirement is that ...
(x-2)/(x+2) > 2/3
3x -6 > 2x +4 . . . . cross multiply
x > 10 . . . . . . . . . . .add 6-2x
The smallest integer satisfying this requirement is x=11. The sum of the 5 integers is 5x = 55.
The smallest sum is 55.
Answer:
the price decreased by 7.06 percent
Step-by-step explanation:
100/354x329=92.93785311
100-92.93785311=7.06
The domain of a function is the set of all possible inputs for the function.
Answer:
a
The null hypothesis is ![H_o : \mu_1 = \mu_2](https://tex.z-dn.net/?f=H_o%20%3A%20%20%5Cmu_1%20%3D%20%5Cmu_2)
The alternative hypothesis ![H_a : \mu_1 > \mu_2](https://tex.z-dn.net/?f=H_a%20%3A%20%5Cmu_1%20%3E%20%20%5Cmu_2)
b
![p-value = 0.232](https://tex.z-dn.net/?f=p-value%20%20%20%3D%200.232)
c
The decision rule is
Fail to reject the null hypothesis
Step-by-step explanation:
From the question we are told that
The value given is
S/N
1 7 5
2 4 3
3 8 7
4 8 8
5 7 9
6 7 5
7 6 5
Generally the sample mean for the first sample is mathematically represented as
![\= x _1 = \frac{\sum x_i }{n}](https://tex.z-dn.net/?f=%5C%3D%20x%20_1%20%3D%20%5Cfrac%7B%5Csum%20x_i%20%7D%7Bn%7D)
=> ![\= x _1 = \frac{7 +4 + \cdots + 6}{7}](https://tex.z-dn.net/?f=%5C%3D%20x%20_1%20%3D%20%5Cfrac%7B7%20%2B4%20%2B%20%5Ccdots%20%2B%206%7D%7B7%7D)
=> ![\= x _1 = 6.714](https://tex.z-dn.net/?f=%5C%3D%20x%20_1%20%3D%20%206.714)
Generally the sample mean for the second sample is mathematically represented as
![\= x _2 = \frac{\sum x_i }{n}](https://tex.z-dn.net/?f=%5C%3D%20x%20_2%20%3D%20%5Cfrac%7B%5Csum%20x_i%20%7D%7Bn%7D)
=> ![\= x _2 = \frac{5 + 3+ \cdots + 5}{7}](https://tex.z-dn.net/?f=%5C%3D%20x%20_2%20%3D%20%5Cfrac%7B5%20%2B%203%2B%20%5Ccdots%20%2B%205%7D%7B7%7D)
=> ![\= x _2 = 6](https://tex.z-dn.net/?f=%5C%3D%20x%20_2%20%3D%20%206)
Generally the sample standard deviation for the first sample is mathematically represented as
![s_1 = \sqrt{\frac{\sum (x_i - \= x_1)^2 }{n-1 } }](https://tex.z-dn.net/?f=s_1%20%3D%20%5Csqrt%7B%5Cfrac%7B%5Csum%20%28x_i%20-%20%5C%3D%20x_1%29%5E2%20%7D%7Bn-1%20%7D%20%7D)
=> ![s_1 = \sqrt{\frac{ (7 - 6.714 )^2 +(4 - 6.714 )^2 + \cdots + (6 - 6.714 )^2 }{7-1 } }](https://tex.z-dn.net/?f=s_1%20%3D%20%5Csqrt%7B%5Cfrac%7B%20%287%20-%206.714%20%29%5E2%20%2B%284%20-%206.714%20%29%5E2%20%2B%20%5Ccdots%20%2B%20%286%20-%206.714%20%29%5E2%20%7D%7B7-1%20%7D%20%7D)
=> ![s_1 = 1.905](https://tex.z-dn.net/?f=s_1%20%3D%201.905)
Generally the sample standard deviation for the second sample is mathematically represented as
![s_2 = \sqrt{\frac{\sum (x_i - \= x_2)^2 }{n-1 } }](https://tex.z-dn.net/?f=s_2%20%3D%20%5Csqrt%7B%5Cfrac%7B%5Csum%20%28x_i%20-%20%5C%3D%20x_2%29%5E2%20%7D%7Bn-1%20%7D%20%7D)
=> ![s_2 = \sqrt{\frac{ (5 - 6.714 )^2 +(3 - 6.714 )^2 + \cdots + (5 - 6.714 )^2 }{7-1 } }](https://tex.z-dn.net/?f=s_2%20%3D%20%5Csqrt%7B%5Cfrac%7B%20%285%20-%206.714%20%29%5E2%20%2B%283%20-%206.714%20%29%5E2%20%2B%20%5Ccdots%20%2B%20%285%20-%206.714%20%29%5E2%20%7D%7B7-1%20%7D%20%7D)
=> ![s_1 = 4.33](https://tex.z-dn.net/?f=s_1%20%3D%204.33)
Generally the pooled standard deviation is
![s = \sqrt{\frac{(n_1 - 1 )s_1^2 + (n_2 - 1 )s_2^2}{n_1 + n_2 -2 } }](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B%28n_1%20-%201%20%29s_1%5E2%20%2B%20%28n_2%20-%201%20%29s_2%5E2%7D%7Bn_1%20%2B%20n_2%20-2%20%7D%20%7D)
=> ![s = \sqrt{\frac{(7 - 1 )1.905^2 + (7 - 1 )4.333^2}{7 + 7 -2 } }](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7B%287%20-%201%20%291.905%5E2%20%2B%20%287%20-%201%20%294.333%5E2%7D%7B7%20%2B%207%20-2%20%7D%20%7D)
=> ![s = 1.766](https://tex.z-dn.net/?f=s%20%3D%201.766)
The null hypothesis is ![H_o : \mu_1 = \mu_2](https://tex.z-dn.net/?f=H_o%20%3A%20%20%5Cmu_1%20%3D%20%5Cmu_2)
The alternative hypothesis ![H_a : \mu_1 > \mu_2](https://tex.z-dn.net/?f=H_a%20%3A%20%5Cmu_1%20%3E%20%20%5Cmu_2)
Generally the test statistics is mathematically represented as
![t = \frac{\= x _1 - \= x_2 }{s * \sqrt{\frac{1}{n_1} + \frac{1}{n_2}} }](https://tex.z-dn.net/?f=t%20%3D%20%5Cfrac%7B%5C%3D%20x%20_1%20-%20%5C%3D%20x_2%20%7D%7Bs%20%2A%20%5Csqrt%7B%5Cfrac%7B1%7D%7Bn_1%7D%20%2B%20%5Cfrac%7B1%7D%7Bn_2%7D%7D%20%20%7D)
=> ![t = \frac{6.714 - 6 }{1.766 * \sqrt{\frac{1}{7} + \frac{1}{7}} }](https://tex.z-dn.net/?f=t%20%3D%20%5Cfrac%7B6.714%20%20-%206%20%7D%7B1.766%20%20%2A%20%5Csqrt%7B%5Cfrac%7B1%7D%7B7%7D%20%2B%20%5Cfrac%7B1%7D%7B7%7D%7D%20%20%7D)
=> ![t = 0.757](https://tex.z-dn.net/?f=t%20%3D%200.757)
Generally the degree of freedom is mathematically represented as
![df = n_1 + n_2 - 2](https://tex.z-dn.net/?f=df%20%3D%20n_1%20%2B%20n_2%20-%202)
=> ![df = 7 + 7 - 2](https://tex.z-dn.net/?f=df%20%3D%207%20%2B%207%20-%202)
=> ![df = 12](https://tex.z-dn.net/?f=df%20%3D%2012)
From the t distribution table the probability of
at a degree of freedom of
is
![t_{ 0.757 , 12} = 0.232](https://tex.z-dn.net/?f=t_%7B%200.757%20%2C%2012%7D%20%3D%200.232)
Generally the p-value is
![p-value = t_{ 0.757 , 12} = 0.232](https://tex.z-dn.net/?f=p-value%20%20%3D%20t_%7B%200.757%20%2C%2012%7D%20%3D%200.232)
From the values obtained we see that
hence
The decision rule is
Fail to reject the null hypothesis
480/6<span> = 80ft </span>7<span> x 80 = 560ft.</span>