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12345 [234]
3 years ago
14

15.12 for 12 hamburgers per burger

Mathematics
1 answer:
SSSSS [86.1K]3 years ago
7 0

Answer:

15.12 ÷ 12 = 1.26 per burger

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4) Change the recurring decimal 0.18 to a fraction. (2marks)<br> You must show all your working.
yuradex [85]

Answer:

18/100 or 9/50

Step-by-step explanation:

First, put 0.18 over 100 because there are 2 digits in the decimal, so you convert it to 18/100. Then, simplify it, and because the GCF is 2, divide the numerator and denominator. The final fraction ins 9/50.

8 0
2 years ago
What is conditional frequency, and how do you determine which value is the denominator?
pantera1 [17]
In the two-way table, It<span> is used to examine relationships between categorical variables. and the entries in the cells can be relative frequencies, that we known as "Conditional Frequency/distribution"

In order to determine the denominator, we add all the values in given column, and for second column,we add all the numbers in 2nd column, & it would be the denominator for each & every cell in that column.

If Scatter plot has no association, then it would not indicate any trends. It means, progression of number can't be formularized in a specific way, 'cause there is no relation between the numbers

Hope this helps!</span>
5 0
3 years ago
9/8 in proper fraction form
user100 [1]

Answer:

1  1/8

Step-by-step explanation:

7 0
3 years ago
Use the given degree of confidence and sample data to construct interval for the population proportion. Of 369 randomly selected
Alexxx [7]

Answer:

e)  (3.77%, 8.70%)

95% confidence interval for the percentage of all medical students who plan to work in a rural community

(3.83% , 8.69%)

95% confidence level for the population proportion who blame oil companies for the recent increase in gasoline prices

(0.406 , 0.454)

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given random sample size 'n' = 369

Sample proportion

                              p = \frac{x}{n} = \frac{23}{369} = 0.0623

95% confidence intervals are determined by

(p^{-} - Z_{0.05} \sqrt{\frac{p(1-p)}{n} } , p^{-} + Z_{0.05} \sqrt{\frac{p(1-p)}{n} })

(0.0623 - 1.96 \sqrt{\frac{0.0623(1-0.0623)}{369} } , 0.0623 + 1.96\sqrt{\frac{0.0623(1-0.0623)}{369} })

(0.0623 - 0.0246 , 0.0623 + 0.0246)

(0.0383 , 0.0869)

(3.83% , 8.69%)

95% confidence interval for the percentage of all medical students who plan to work in a rural community

(3.83% , 8.69%)

<u>Step(ii):-</u>

Given 43% of those polled blamed of companies the most for the recent increase in gasoline prices

sample proportion 'p' = 0.43

Given Margin of error (M.E) = 0.024

95% confidence intervals are determined by

(p^{-} - Z_{0.05} \sqrt{\frac{p(1-p)}{n} } , p^{-} + Z_{0.05} \sqrt{\frac{p(1-p)}{n} })

(0.43 - 0.024 } , 0.43 +0.024 )

(0.406 , 0.454)

<u>Final answer</u>:-

95% confidence level for the population proportion who blame oil companies for the recent increase in gasoline prices

(0.406 , 0.454)

6 0
3 years ago
Jeremy has saved $440
Ludmilka [50]

Answer:6

Step-by-step explanation:

55×6 =330 330+110 =440

5 0
3 years ago
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