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Sveta_85 [38]
3 years ago
9

(3y^0 x^2)^6 times y^-3 zx8

Mathematics
1 answer:
timurjin [86]3 years ago
3 0
Ok so some basic rules

(x^m)(x^n)=x^{m+n}
(ab)^c=(a^c)(b^c)
(x^m)^n=x^{mn}
x^0=1
x^{-m}= \frac{1}{x^m}

so
[(3y^0x^2)^6][y^{-3}zx^8]
[(3(1)x^2)^6][y^{-3}zx^8]
[(3x^2)^6][y^{-3}zx^8]
[(3^6)((x^2)^6)][y^{-3}zx^8]
[(3^6)(x^{12})][y^{-3}zx^8]
(3^6)(x^{12})(y^{-3})(z)(x^8)
(3^6)(x^{12})(x^8)(y^{-3})(z)
(3^6)(x^{20})(\frac{1}{y^3})(z)
\frac{3^6x^{20}z}{y^3}
\frac{729x^{20}z}{y^3}
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There is not enough evidence to support the claim that the liquid diet yields a higher mean weight loss than the powder diet (P-value = 0.15).

Step-by-step explanation:

This is a hypothesis test for the difference between populations means.

The claim is that the liquid diet yields a higher mean weight loss than the powder diet.

Then, the null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2< 0

The significance level is 0.05.

The sample 1 (powder diet group), of size n1=49 has a mean of 42 and a standard deviation of 12.

The sample 2 (liquid diet group), of size n2=36 has a mean of 45 and a standard deviation of 14.

The difference between sample means is Md=-3.

M_d=M_1-M_2=42-45=-3

The estimated standard error of the difference between means is computed using the formula:

s_{M_d}=\sqrt{\dfrac{\sigma_1^2}{n_1}+\dfrac{\sigma_2^2}{n_2}}=\sqrt{\dfrac{12^2}{49}+\dfrac{14^2}{36}}\\\\\\s_{M_d}=\sqrt{2.939+5.444}=\sqrt{8.383}=2.895

Then, we can calculate the t-statistic as:

t=\dfrac{M_d-(\mu_1-\mu_2)}{s_{M_d}}=\dfrac{-3-0}{2.895}=\dfrac{-3}{2.895}=-1.04

The degrees of freedom for this test are:

df=n_1+n_2-1=49+36-2=83

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\text{P-value}=P(t

As the P-value (0.15) is greater than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

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