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3 years ago

What would the answer be to this

Mathematics

1 answer:

Vladimir79 [104]3 years ago

6 0

Answer:

265.2

Step-by-step explanation:

3(6*13)=234

2*15.6=31.2

234+31.2=265.2

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5 (y+2/5)= -13 what is y with explanation

larisa [96]

Answer:

Y= -3

Step-by-step explanation:

Step 1- 5y+2=-13 [move constant to the right]

Step 2- 5y=-13-2 [Calculate]

Step 3- 5y=-15 [Divide both sides]

And with doing these steps you'll end up with the answer Y= -3

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3 years ago

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3 years ago

A company sells bicycle locks with a combination made of 3 numbers. Each number can be any digit from 0 to 9 and the digits may

GREYUIT [131]

Answer:

1/10

Step-by-step explanation:

There can be 10 total digits in the tens place: 0,1,2,3,4,5,6,7,8,9

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3 years ago

A circle with a diameter of 10 inches has a circumference of a square, what is the length of each side of the square?

Veronika [31]

The circumference is πd, and the diameter is 10, so the circumference is 10π. All sides of a square are equal, so the length of each side is 10π/4, which is 2.5π.

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4 years ago

Consider the following hypothesis test.H0:μ1−μ2=0 Ha:μ1−μ2≠0The following results are for two independent samples taken from the

Julli [10]

Answer:

a) $z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

b) $p_v =2*P(z$

c) Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

Step-by-step explanation:

Information given

$\bar X_{1}= 104$ represent the mean for 1

$\bar X_{2}= 106$ represent the mean for 2

$\sigma_{1}= 8.4$ represent the population standard deviation for 1

$\sigma_{2}= 7.6$ represent the population standard deviation for 2

$n_{1}=80$ sample size for the group 1

$n_{2}=70$ sample size for the group 2

z would represent the statistic

Hypothesis to test

We want to check if the two means for this case are equal or not, the system of hypothesis would be:

H0: $\mu_{1}=\mu_{2}$

H1: $\mu_{1} \neq \mu_{2}$

The statistic would be given by:

$z =\frac{\bar X_1-\bar X_2}{\sqrt{\frac{\sigma^2_1^2}{n_1} +\frac{\sigma^2_2^2}{n_2}}}=$ (1)

Part a

Replacing we got:

$z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

Part b

The p value would be given by this probability:

$p_v =2*P(z$

Part c

Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

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3 years ago