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3 years ago

Which of the following expressions represents the statement “One half the sum of x and y”?

1 answer:

8 0

The answer would be b. it is asking for the sum of x and y so rule out a. then it’s asking for half of that sum so rule out c since c is one half of y

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PLEASE HELP ME WITH THIS<br><br>

Vladimir [108]

Answer:

A. (0, 60)

B. 15x

Step-by-step explanation:

The initial value is the same as the y-intercept, which is 60 or (0, 60).

The rate of change would be the same as the slope. To find the slope, you do rise/run. You move 15 units up, and 1 to the right. That would be 15x.

Hope this helps!

5 0

3 years ago

In class 9A the ratio of boys to girls is 3:4. if there are 12 boys,how many girls are there?

Mamont248 [21]

16 girls. 12 divided by 4 is 3, so this means that you have to take 4 and multiply it by 4 which equals to 16.

3 0

2 years ago

12,13,14 help please

PSYCHO15rus [73]

12. 15 (3x5x1)
13. 8 (4x2x1)
14. 18 (6x3x1)

Hope this helps! :D

5 0

3 years ago

Read 2 more answers

The volume of a pyramid is 1/3 the volume of a prism ?<br> True<br> False

marissa [1.9K]

Answer: True

Step-by-step explanation:

Prism volume = lwh

Pyramid Volume = lwh/3

6 0

2 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

6 0

3 years ago