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Triss [41]
3 years ago
14

At this rate, how many miles will a ferry boat travel in 30 minutes Miles=

Mathematics
2 answers:
Lunna [17]3 years ago
6 0

Answer:

12 miles

Step-by-step explanation:

Lilit [14]3 years ago
4 0
I’m pretty sure it’s 12 miles
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12b + 9 = 12b + 11 what’s the answer
sweet [91]

Answer: b∈∅

Step-by-step explanation:

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3 years ago
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Professor Jennings claims that only 35% of the students at Flora College work while attending school. Dean Renata thinks that th
lisov135 [29]

Answer:

z=\frac{0.462 -0.35}{\sqrt{\frac{0.35(1-0.35)}{78}}}=2.074  

Now we can calculate the p value with this probability:

p_v =P(z>2.074)=0.019  

If we use a significance level os 0.05 we see that the p value is lower than the significance level so then we can conclude that the true proportion of students with jobs is higher than 0.35 for this case. If we decrease the significance level to 1% the result changes otherwise not.

Step-by-step explanation:

Information given

n=78 represent the random sample taken

X=36 represent the students with jobs

\hat p=\frac{36}{78}=0.462 estimated proportion of students with jobs

p_o=0.35 is the value that we want to test

z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the proportion of students with jobs is higher than 0.35, the system of hypothesis are:  

Null hypothesis:p \leq 0.35  

Alternative hypothesis:p > 0.35  

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{0.462 -0.35}{\sqrt{\frac{0.35(1-0.35)}{78}}}=2.074  

Now we can calculate the p value with this probability:

p_v =P(z>2.074)=0.019  

If we use a significance level os 0.05 we see that the p value is lower than the significance level so then we can conclude that the true proportion of students with jobs is higher than 0.35 for this case. If we decrease the significance level to 1% the result changes otherwise not.

5 0
4 years ago
An information technology company produces 45% of its computer chips at a plant in St. Louis and the remainder of its chips at a
Feliz [49]

Answer:

the probability of the computer chip produced and defective is 0.003825

Step-by-step explanation:

The computation of the probability of the computer chip produced and defective is shown below

= Produced percentage × defective percentage

= 45% × 0.85%

= 0.003825

Hence, the probability of the computer chip produced and defective is 0.003825

The same is considered and relevant too

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3 years ago
The length of a ribbon is 3/4 meter. Sun Yi needs piece measuring 1/3 meter for an art project. What is the greatest number of P
Step2247 [10]

3/4 divided by 1/3 = 3/4 * 3/1 = 9/4 = 2 1/4   <-------reason

Sun Yi can cut out 2 pieces.

Sun Yi will have 1/4 left.

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Please help.. omgg urgent
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The top one. they can't be expressed in a fraction or decimal
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