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Pepsi [2]
3 years ago
13

A fisherman can buy either 6 larvae and 4 worms for 13 dollars or 7 larvae and 4 worms for 12 dollars. How much is the price of

worms and larvae?​
Mathematics
1 answer:
Gemiola [76]3 years ago
3 0

Answer:

It seems illogical,cannot be calculated

Step-by-step explanation:

Why the fisherman can buy one more larvae but using less money?

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A bag contains pennies nickels dimes and quarters. There are 50 coins in all. Of the coins 14 percent are pennies and 42 percent
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I believe it’s $5.47
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I need help on this question
Flura [38]

Answer:

you are adding a dollar and 50 cents each time

Step-by-step explanation:

then find your y and x and plot it

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A tropical storm is classified as a hurricane when there are maximum sustained winds of
konstantin123 [22]

Answer: A hurricane usually takes days to develop. The fastest a hurricane might form is in 48 hours or two days. If a cluster of thunderstorms already exists then it might only take a day.

Step-by-step explanation:

8 0
4 years ago
What is 6,691 ÷ 28 <br><br>step by step <br><br>without a decimal​
steposvetlana [31]

Answer:

238

Step-by-step explanation:

238.964286

6 0
3 years ago
Read 2 more answers
In order to estimate the difference between the average hourly wages of employees of two branches of a department store, the fol
Julli [10]

Answer:

0.071,1.928

Step-by-step explanation:

                                                Downtown Store   North Mall Store

Sample size   n                             25                        20

Sample mean \bar{x}                         $9                        $8

Sample standard deviation  s       $2                        $1

n_1=25\\n_2=20

\bar{x_1}=9\\ \bar{x_2}=8

s_1=2\\s_2=1

x_1-x_2=9-8=1

Standard error of difference of means = \sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}

Standard error of difference of means = \sqrt{\frac{2^2}{25}+\frac{1^2}{20}}

Standard error of difference of means = 0.458

Degree of freedom = \frac{\sqrt{(\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}})^2}{\frac{(\frac{s_1^2}{n_1})^2}{n_1-1}+\frac{(\frac{s_2^2}{n_2})^2}{n_2-1}}

Degree of freedom = \frac{\sqrt{(\frac{2^2}{25}+\frac{1^2}{20}})^2}{\frac{(\frac{2^2}{25})^2}{25-1}+\frac{(\frac{1^2}{20})^2}{20-1}}

Degree of freedom =36

So, z value at 95% confidence interval and 36 degree of freedom = 2.0280

Confidence interval = (x_1-x_2)-z \times SE(x_1-x_2),(x_1-x_2)+z \times SE(x_1-x_2)

Confidence interval = 1-(2.0280)\times 0.458,1+(2.0280)\times 0.458

Confidence interval = 0.071,1.928

Hence Option A is true

Confidence interval is  0.071,1.928

4 0
3 years ago
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