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Maurinko [17]
3 years ago
13

Answer with a complete sentence. Eric and Jan leave their house at one o-clock, following the same route. Jan walks at a steady

pace of 4 mph. Eric walks at a leisurely 2 mph for 2 hours, and then jogs at 6 mph. When will he catch up with her?
Mathematics
1 answer:
xenn [34]3 years ago
7 0

Answer:

Eric will catch up with Jan at 3 o-clock.

Idk I really tried sorry if its wrong lol

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Select the objects that hold the same amount of liquid as a 128−fluid-ounce jug. Select all that apply. A three 8−ounce fluid gl
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The correct answers are C, D, and E.

1 quart = 32 fl oz
1 pt = 16 oz

Using these conversions you will multiply the number of quarts or pints by the number of ounces in each and then add the totals together to find if they equal 128 oz.

C.   4 x 32 = 128 oz
D.  2 x 32 + 8 x 8 = 128 oz
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According to the text, approximately what percentage of college students drop out before obtaining a degree
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Answer:

40% but there is no article so I looked it up

Step-by-step explanation:

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Which expression is equivalent to 12 × 3 × 5?
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Read 2 more answers
A survey in Men’s Health magazine reported that 39% of cardiologists said that they took vitamin E supplements. To see if this i
zzz [600]

Answer:

z=\frac{0.36 -0.39}{\sqrt{\frac{0.39(1-0.39)}{100}}}=-0.615  

The p value for this case would be:

p_v =2*P(z  

For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true proportion is not different from 0.39

Step-by-step explanation:

Information given

n=100 represent the random sample taken

X=36 represent the number of people that take E supplement

\hat p=\frac{36}{100}=0.36 estimated proportion of people who take R supplement

p_o=0.39 is the value that we want to test

\alpha=0.05 represent the significance level

z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the true proportion is equatl to 0.39 or not, the system of hypothesis are.:  

Null hypothesis:p=0.39  

Alternative hypothesis:p \neq 0.39  

The statistic is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing the info we got:

z=\frac{0.36 -0.39}{\sqrt{\frac{0.39(1-0.39)}{100}}}=-0.615  

The p value for this case would be:

p_v =2*P(z  

For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true proportion is not different from 0.39

8 0
3 years ago
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