So this is the question: Meg has 7/8 jug of orange juice. How many 1/2 jug servings can Meg get from that jug? Please help me!

Answers

Answer 1
Answer:

Answer:

1 cause 4/8 is a half  of the jug at it's full  brethall

so one 1/2

Answer 2
Answer:

Answer:

she can only get 1 servings


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X+3x-2=6x-12 please help

Answers


x + 3x - 2 = 6x - 12 \n4x - 2 = 6x - 12 \n  - 4x \:  \:  \:  \:  \:  \:  \:  \:  - 4x \n  - 2 = 2x - 12 \n  + 12 \:  \:  \:   \:  \:  \:  \:  \:  \: + 12  \n 10 = 2x \n  / 2 \:  \:  \:  / 2 \n 5 = x \n check \n x + 3x - 2 = 6x - 12 \n 5 + 15 - 2 = 30 - 12 \n 18 = 18

Find the x and y intercepts and graph the line . Your x and y intercepts just be written as a point

Answers

X intercept is equal to (-2,0) and y intercept is equal to (0,-4)

What is the slope intercept equation of the line below. Y-intercept=(0,2) slope=3/4

Answers

Answer:

y = 3/4x +2

Step-by-step explanation:

The slope intercept form of an equation is

y = mx+b

where m is the slope and b is the y intercept

Y-intercept=(0,2) slope=3/4

y = 3/4x +2

The LA dodgers hit the most home runs in 2014. The number of Home runs accounted for 6% of the entire major league baseball home run count. if the dodgers hit 35 home runs, then how many did the rest of the league hit?

Answers

Answer:

To answer the question, we will need to find the 6% (the home runs of the LA Dodgers) of 583 (the entire Major League Baseball home run count).

To do that, first we are going to divide 6% by 100% to convert it to a fraction and get rid of the percentage signs :

Now we can multiply our fraction by the entire Major League Baseball home run count to get the home runs of the Dodgers:

We can conclude that the LA Dodgers hit approximately 35 home runs.

Step-by-step explanation:

Yeet

Final answer:

The rest of the league hit approximately 583 home runs.

Explanation:

In order to determine the number of home runs hit by the rest of the league, we need to set up a proportion using the given information. Let 'x' represent the number of home runs hit by the rest of the league. We can set up the proportion as follows:



35/​x = 6/100



Cross-multiplying, we get 100 * 35 = 6 * ​x.



Simplifying, we have 3500 = 6 * ​x. Dividing both sides by 6, we find that x = 583.33. Rounding to the nearest whole number, the rest of the league hit approximately 583 home runs.

Learn more about proportion here:

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The time needed for all college students to complete a certain paper-and-pencil maze follows a normal distribution with a population mean of 30 seconds and a population standard deviation of 3 seconds. You wish to see if the mean time μ (where μ stands for population mean) is changed by vigorous exercise, so you have a group of nine college students exercise vigorously for 30 minutes and then complete the maze. It takes them an sample average of 31.2 seconds to complete the maze. Use this information to test the hypotheses:

H0: μ = 30,

Ha: ≠30

at the significance level of 0.01.

You conclude:


a) There is not enough evidence to support the claim.

b) There is enough evidence to support the claim.

Answers

Answer:

The correct option is a

Step-by-step explanation:

From the question we are told that

   The population mean is  \mu = 30\ seconds

    The standard deviation is  \sigma = 3 \ seconds

     The sample size is  n  = 9

    The null hypothesis is H_o: \mu  = 30

     The alternative hypothesis is  H_a  :  \mu \ne 30

    The level of significance is  \alpha = 0.01

    The sample mean is  \= x = 31.2

Generally the test statistics is mathematically represented as

      z = ( \= x - \mu )/( (\sigma)/(√(n) ) )

=>   z = ( 31.2 - 30)/( (3)/(√(9) ) )

=>   z = 1.2

From the z table  the area under the normal curve to the right corresponding to  1.2  is    

         P(Z >  1.2) =  0.11507

Generally the p-value is mathematically represented as

         p-value = 2 * P(Z >  1.2)

=>       p-value = 2 *0.11507

=>       p-value = 0.230

From the value obtained w can see that

         p-value  > \alpha hence

The decision rule is  

Fail to reject the null hypothesis

The conclusion is there is not enough evidence to support the claim

Final answer:

To test the hypotheses, use a one-sample t-test to compare the sample mean to the population mean. Calculate the t-value and compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, reject the null hypothesis. Otherwise, fail to reject the null hypothesis.

Explanation:

To test the hypotheses, we can use a one-sample t-test since we know the population standard deviation and the sample size is small. The null hypothesis (H0) is that the population mean (μ) is equal to 30 seconds, while the alternative hypothesis (Ha) is that the population mean is not equal to 30 seconds.

Using the given information, we can calculate the t-value by using the formula:

t = (sample mean - population mean) / (population standard deviation / sqrt(sample size))

Once we have the t-value, we can compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, we reject the null hypothesis. If not, we fail to reject the null hypothesis and conclude that there is not enough evidence to support the claim.

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What is 12% of 79 ??

Answers

12% Of 79 Would be 9.48. Hope this helped :)
The to %12 of 79. The answer is 15