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Elan Coil [88]
3 years ago
9

The concentration of hexane (a common solvent) was measured in units of micrograms per liter for a simple random sample of sixte

en specimens of untreated ground water taken near a municipal landfill. The sample mean was 228.0 with a sample standard deviation of 4.3. Twenty specimens of treated ground water had an average hexane concentration of 224.6 with a standard deviation of 5.0. It is reasonable to assume that both samples come from populations that are approximately normal.
Can you conclude that the mean hexane concentration is less in treated water than in untreated water? Use the ? = 0.10 level of significance.
No
Yes
Mathematics
1 answer:
goldenfox [79]3 years ago
6 0

Answer:

Yes, it can be concluded that the mean hexane concentration is less in treated water than in unsaturated water

Step-by-step explanation:

The number of of specimen in the samples of untreated water, n₁ = 16

The sample mean, \overline x_1 = 228.0

The sample standard deviation, s₁ = 4.3

The number of of specimen in the samples of treated water, n₂ = 20

The sample mean, \overline x_2 = 224.6

The sample standard deviation, s₂ = 5.0

The level of significance = 0.10

The null hypothesis, H₀; \overline x_1 ≥ \overline x_2

The alternative hypothesis, Hₐ;  \overline x_1 < \overline x_2

The degrees of freedom = 16 - 1 = 15

The test statistic, t_{\alpha} = 1.341

t=\dfrac{(\bar{x}_{1}-\bar{x}_{2})}{\sqrt{\dfrac{s_{1}^{2} }{n_{1}}-\dfrac{s _{2}^{2}}{n_{2}}}}

Plugging in the values, we get;

t=\dfrac{(224.6- 228.0)}{\sqrt{\dfrac{5.0^{2}}{20} -\dfrac{4.3^{2} }{16}}} \approx -11.0675

Given that the t-value is large, the corresponding p-value is low, therefore, we fail to reject the null hypothesis and there is considerable statistical evidence to suggest that the mean hexane concentration is less in treated than in untreated water, therefore, we have; \overline x_1 ≥ \overline x_2

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Sliva [168]

for the table part, for the first column put all the information in the correct area (like put the price of the Reuben next to the Rueben section. Then just subtract them all by $20 (give brainliest if others answer)

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3 years ago
A running shoe store mounts a new promotional campaign. Purchasers of new shoes may, if dissatisfied for any reason, return them
Vitek1552 [10]

Answer:

a

             P(K = k ) = \  ^nC_x * p^k  *  (1-p)^{n-k}

Here  k is the random number of number of pairs of shoes that will be returned for refund, which can be  k = 0,1 ,2,3,4 ..., 120

b

The mean is   E(K) =  np =  13.2  

The  standard deviation is  \sigma =  3.43

c

The mean is  E(C) =   E(105 K) =  1386

The standard deviation is   \sigma  =  381.48  

Step-by-step explanation:

From the question we are told that

   The  cost to dealer for each refund is  C =  \$105

   The  probability  that a shoe will refunded is  P(x) =  0.11

   The number of shoes purchased is  n  =  120 pairs

Generally the probability distribution of the number of pairs of shoes that will be returned for refunds is

          P(K = k ) = \  ^nC_x * p^k  *  (1-p)^{n-k}

Here  k is the random number of number of pairs of shoes that will be returned for refund, which can be  k = 0,1 ,2,3,4 ..., 120

Generally the mean is mathematically represented as

     E(K) =  np =  120 * 0.11

=>    E(K) =  np =  13.2  

Generally the  standard deviation is mathematically represented as

     \sigma  =  \sqrt{ n*  p  (1-p)}

=>    \sigma  =  \sqrt{ 120* 0.11  (1-0.11)}

=>    \sigma =  3.43

Generally the total refund cost is mathematically represented as

     C =  105 K

Here K denotes the number of shoes returned

Generally the mean of the total refund cost is mathematically represented as

           E(C) =   E(105 K) =  105 E(K)

=>         E(C) =   E(105 K) =  105 * 13.2

=>         E(C) =   E(105 K) =  1386

Generally the variance of the total refund cost is mathematically represented as

       Var(K) =  105^2 *  E(K)

=>     Var(K) =  105^2 *  13.2

=>    Var(K) =  145530  

=>      \sigma =  \sqrt{145530 }

=>    \sigma  =  381.48  

   

7 0
3 years ago
Solve the system of equations. ​ 2y+7x=−5 5y−7x=12 ​
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CaHeK987 [17]
The answer would be C, sorry if I’m wrong
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lakkis [162]
<h2>Hello!</h2>

The answer is:

The piece of paper measures 30.48cm (centimeters)

<h2>Why?</h2>

We need to convert from inches to centimeters, we can do it using the following convertion factor:

1in=2.54cm

Now, calculating we have:

12in*\frac{2.54}{1in}=30.48cm

Hence, we have that the piece of papers measures 30.48cm (centimeters)

Have a nice day!

7 0
3 years ago
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