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3 years ago

It costs £420 for 6 tickets to watch a football match. How much does it cost for 5 tickets ?

Mathematics

2 answers:

Svet_ta [14]3 years ago

6 0

£350 because 420/6 is 70 and 70*5 is 350

MakcuM [25]3 years ago

6 0

<h2>Answer:</h2><h2>£ 350</h2>

Solution,

Tickets. Price

6 420

5 X(suppose)

IN CASE OF DIRECT PROPORTION,

6/5=420/X

or,6x=2100( cross multiplication)

or,X=2100/6

X=350

Hope it helps

Good luck on your assignment

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m_a_m_a [10]

Answer:

The answer to your question is 1/8

Step-by-step explanation:

Data

Total volume = 1 gallon

Water drank by the hiker = 1/2

Water drank by each of his friends = ?

Process

1.- Calculate the water that he gave to his friends

Water gave to his friends = 1 - 1/2

= 1/2

2.- Calculate the amount of water each friend received.

1/2 ÷ 4 = 1/8

3.- Conclusion

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3 years ago

The USDA conducted tests for salmonella in produce grown in California. In an independent sample of 252 cultures obtained from w

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Answer:

The decision rule is

Fail to reject the null hypothesis

The conclusion is

There no sufficient evidence to show that the proportion of salmonella in the region’s water differs from the proportion of salmonella in the region’s wildlife

Step-by-step explanation:

From the question we are told that

The first sample size is $n_1 = 252$

The number that tested positive is $k_1 = 18$

The second sample size is $n_2 = 476$

The number that tested positive is $k_2 = 20$

The level of significance is $\alpha = 0.01$

Generally the first sample proportion is mathematically represented as

$\^ p _1 = \frac{k_1 }{ n_1 }$

=> $\^ p _1 = \frac{18 }{ 252 }$

=> $\^ p _1 = 0.071$

Generally the second sample proportion is mathematically represented as

$\^ p _2 = \frac{k_2 }{ n_2 }$

=> $\^ p _2 = \frac{20 }{ 476}$

=> $\^ p _2 = 0.042$

The null hypothesis is $H_o : p_1 - p_2 = 0$

The alternative hypothesis is $H_a : p_1 - p_2 \ne 0$

Generally the test statistics is mathematically represented

$z = \frac{ \^ p_1 - \^ p_2 - ( p_ 1 - p_2 )}{ \sqrt{\frac{\^ p_1 (1-\^ p_1)}{ n_1 } + \frac{\^ p_2 (1-\^ p_2)}{ n_2 } } }$

=> $z = \frac{ 0.071 - 0.042 - 0 }{ \sqrt{\frac{0.071 (1-0.071)}{ 252 } + \frac{0.042 (1-\^ 0.042)}{ 476 } } }$

=> $z = 1.56$

From the z table the area under the normal curve to the right corresponding to 1.56 is

$P(Z > 1.56 ) =0.05938$

Generally the p-value is mathematically represented as

$p-value = 2 * P(Z > 1.56 )$

=> $p-value = 2 * 0.05938$

=> $p-value = 0.1188$

From the value obtained we see that $p-value > \alpha$ hence

The decision rule is

Fail to reject the null hypothesis

The conclusion is

There no sufficient evidence to show that the proportion of salmonella in the region’s water differs from the proportion of salmonella in the region’s wildlife

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3 years ago

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nignag [31]

Answer:

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Step-by-step explanation:

10:20=

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3 years ago

Read 2 more answers

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Answer:

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Step-by-step explanation:

The range of a set of data is the difference between the highest and lowest values in the set.

Given data set:

5/8, 3/4, 1 1/8, 1 1/4

Rewriting the data set in the same denominator to compare:

5/8, 6/8, 9/8, 10/8

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So, the range of the given data set is 5/8

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Answer:

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Step-by-step explanation:

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