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aleksandrvk [35]
3 years ago
12

HELPP MEE PLEASEEEEEE

Mathematics
2 answers:
Rudiy273 years ago
7 0

Answer:

wouldn't it be 5m....??

Salsk061 [2.6K]3 years ago
6 0
Non factorable with rational numbers
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Find the zeros of the function f(x)=2x^2-7x-30
ivanzaharov [21]
2x^2-7x-30=0 \\ \\
a=2 \\ b=-7 \\ c=-30 \\
b^2-4ac=(-7)^2-4 \times 2 \times (-30)=49+240=289 \\ \\
x=\frac{-b \pm \sqrt{b^2-4ac}}{2a}=\frac{-(-7) \pm \sqrt{289}}{2 \times 2}=\frac{7 \pm 17}{4} \\
x=\frac{7-17}{4} \ \lor \ x=\frac{7+17}{4} \\
x=\frac{-10}{4} \ \lor \ x=\frac{24}{4} \\
x=-\frac{5}{2} \ \lor \ x=6 \\
\boxed{x=-2.5 \hbox{ or } x=6}
6 0
3 years ago
Solve for x: 5|2x − 2| + 8 = 18.
Nitella [24]
5|2x-2|+8=18
5|2x+2|=10
|2x+2|=2
by removing the absolute and but + or -
(2x+2) = 2 & (2x+2)=-2
so , x = 0 & x=-2
so it is the second answer
8 0
3 years ago
An article reported on the results of an experiment in which half of the individuals in a group of 60 postmenopausal overweight
slavikrds [6]

Answer:

Step-by-step explanation:

From the given information:

Let's first compute the null and alternative hypothesis

Null hypothesis:

\mathbf{H_o: \mu_1-\mu_2=1}

Alternative hypothesis:

H_a :\mu_1 -\mu_2 > 1

The number of samples is half in a group of 60

i.e

n_1=n_2 = 30

the sample mean for sample 1 \overline x_1 = 5.7

the standard deviation for sample 1 s_1 = 3.1

the sample mean for sample 2 \overline x_2 = 3.9

the standard  deviation for sample 2 s_2 = 2.7

degree of freedom  for this test can be computed by using the formula:

df = \dfrac{\begin {pmatrix} \dfrac{s_1^2}{n_1} + \dfrac{s^2_2}{n_2}   \end {pmatrix}^2  }  {\dfrac{ (\dfrac{s_1^2}{n_1}^2)}{ n_1-1}  + \dfrac{ (\dfrac{s_2^2}{n_2}^2)}{ n_2-1}  }

df = \dfrac{\begin {pmatrix} \dfrac{3.1^2}{30} + \dfrac{2.7^2}{30}   \end {pmatrix}^2  }  {\dfrac{ \begin {pmatrix} \dfrac{3.1^2}{30} \end {pmatrix}^2}{ 30-1}  + \dfrac{ \begin {pmatrix} \dfrac{2.7^2}{30} \end {pmatrix}^2}{ 30-1}  }}

df = 114.68

The test statistics can be computed as follows:

t = \dfrac{ \overline x_1 -\overline x_2- (\mu_1 -\mu_2)}{\sqrt{ \dfrac{s_1^2}{n_1} +\dfrac{s_2^2}{n_2} }}

t = \dfrac{ 5.7-3.9- (1)}{\sqrt{ \dfrac{3.1^2}{30} +\dfrac{2.7^2}{30} }}

t = 1.07

Using the level of significance of 0.1, the P-value for the test statistics at the df of 114.68 is:

P-value = 0.143

Decision rule: To reject the null hypothesis if the level of significance is greater than the p-value.

Conclusion: We fail to reject the null hypothesis because the p-value is greater than the level of significance at 0.1.

Thus, it appears that the true average weight loss for the vegan diet does not exceeds that for the control diet by more than 1 kg.

8 0
4 years ago
Suppose three days ago was a Wednesday, What day of the week will 365 days from today be?
Anna11 [10]

Answer:

thursday

Step-by-step explanation:

3 0
4 years ago
A product is made up of components A, B, C, D, E, F, G, H, I, and J. Components A, B, C, and F have a 1/10,000 chance of failure
lesantik [10]

Answer:

The overall reliability is 99.7402 %

Step-by-step explanation:

The overall reliability of the product is calculated as the product of the working probability of the components.

For components A,B,C and F we have :

P(failure)=\frac{1}{10000}

⇒

P(Work)=1-\frac{1}{10000}=\frac{9999}{10000}=0.9999

For components D,E,G and H we have :

P(failure)=\frac{3}{10000}

⇒

P(Work)=1-\frac{3}{10000}=\frac{9997}{10000}=0.9997

Finally, for components I and J :

P(failure)=\frac{5}{10000}

⇒

P(Work)=1-\frac{5}{10000}=\frac{9995}{10000}=0.9995

Now we multiply all the working probabilities. We mustn't forget that we have got ten components in this case :

Components A,B,C and F with a working probability of 0.9999

Components D,E,G and H with a working probability of 0.9997

Components I and J with a working probability of 0.9995

Overall reliability = (0.9999)^{4}(0.9997)^{4}(0.9995)^{2}=0.997402

0.997402 = 99.7402 %

4 0
3 years ago
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