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denis-greek [22]
3 years ago
14

NEED CORRECT ANSWERS NOW! WILL MARK BRAINLIEST!!

Mathematics
1 answer:
rusak2 [61]3 years ago
6 0

(a) There are 1/4 cups of flour per serving

<u>WORK:</u> 1.5/6=1/4 (change 1 1/2 into decimal)

(b) <u>**not sure**</u> There are approximately .18 cups of sugar per serving.

<u>WORK:</u> 9/2+4/12=13/12 and then divide 13/12 by 6.

(c) You need 2 1/4 cups of flour to make 9 servings.

<u>WORK:</u> 1.5/2=.75

1.5+.75=2.25=2 1/4

(d) Someone would need to know the amount of sugar to properly make the recipe and if needed know how much to put if you wanted to split the recipe.


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A researcher believes that 12% of a simple random sample of adults will be able to identify a Toyota Scion by brand and model na
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Answer: 650

Step-by-step explanation:

When prior estimate of population proportion is known , then the formula to find the required sample size is given by :-

n=p(1-p)(\dfrac{z^*}{E})^2

, where p= population proportion

E= margin of error

z* = Critical value.

Let p be the proportion of adults able to identify a Toyota Scion by brand and model name.

As per given , we have

p = 12%= 0.12

E= 2.5%=0.025

Critical value for 95% confidence interval : z* = 1.960  [By z-table ]

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The manager of a bank recorded the amount of time each customer spent waiting in line during peak business hours one Monday. The
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The standard deviation of the frequency distribution is 5.54

<h3>How to determine standard deviation?</h3>

The table of values is given as:

x     f(x)

0-3 13

4-7  13

8-11 10

12-15 11

16-19 0

20-23 3

Rewrite the table by calculating the class midpoints:

x     f(x)

1.5 13

5.5  13

9.5 10

13.5 11

17.5 0

21.5 3

Start by calculating the mean using:

\bar x = \frac{\sum fx}{\sum f}

This gives

\bar x = \frac{1.5 * 13 + 5.5 * 13 + 9.5 * 10 + 13.5 * 11 + 17.5 * 0 + 21.5 * 3}{13 + 13 + 10 + 11 + 0 +3}

Evaluate

\bar x = 7.98

The standard deviation is then calculated as:

\sigma = \sqrt{\frac{\sum f(x - \bar x)^2}{\sum f }}

So, we have:

\sigma= \sqrt{\frac{13 * (1.5 - 7.98)^2 + 13  * (5.5 - 7.98)^2 + (9.5 - 7.98)^2 * 10 + (13.5 - 7.98)^2 * 11 + (17.5 - 7.98)^2 * 0 + (21.5 - 7.98)^2 * 3}{13 + 13 + 10 + 11 + 0 +3}}

Evaluate

\sigma= \sqrt{30.6496}

Solve

\sigma= 5.54

Hence, the standard deviation is 5.54

Read more about standard deviation at:

brainly.com/question/15858152

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