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shusha [124]
2 years ago
10

Sandra has 18 bags of peanuts to hand out to 9 friends. How many bags can she give each friend? Draw a bar diagram to help solve

Mathematics
2 answers:
alexandr402 [8]2 years ago
7 0
18÷9=2 you have to divide
Gemiola [76]2 years ago
3 0
Two bags.... can't exactly draw a diagram so....
You might be interested in
The average annual amount American households spend for daily transportation is $6312 (Money, August 2001). Assume that the amou
lions [1.4K]

Answer:

(a) The standard deviation of the amount spent is $3229.18.

(b) The probability that a household spends between $4000 and $6000 is 0.2283.

(c) The range of spending for 3% of households with the highest daily transportation cost is $12382.86 or more.

Step-by-step explanation:

We are given that the average annual amount American households spend on daily transportation is $6312 (Money, August 2001). Assume that the amount spent is normally distributed.

(a) It is stated that 5% of American households spend less than $1000 for daily transportation.

Let X = <u><em>the amount spent on daily transportation</em></u>

The z-score probability distribution for the normal distribution is given by;

                          Z  =  \frac{X-\mu}{\sigma}  ~ N(0,1)

where, \mu = average annual amount American households spend on daily transportation = $6,312

           \sigma = standard deviation

Now, 5% of American households spend less than $1000 on daily transportation means that;

                      P(X < $1,000) = 0.05

                      P( \frac{X-\mu}{\sigma} < \frac{\$1000-\$6312}{\sigma} ) = 0.05

                      P(Z < \frac{\$1000-\$6312}{\sigma} ) = 0.05

In the z-table, the critical value of z which represents the area of below 5% is given as -1.645, this means;

                           \frac{\$1000-\$6312}{\sigma}=-1.645                

                            \sigma=\frac{-\$5312}{-1.645}  = 3229.18

So, the standard deviation of the amount spent is $3229.18.

(b) The probability that a household spends between $4000 and $6000 is given by = P($4000 < X < $6000)

      P($4000 < X < $6000) = P(X < $6000) - P(X \leq $4000)

 P(X < $6000) = P( \frac{X-\mu}{\sigma} < \frac{\$6000-\$6312}{\$3229.18} ) = P(Z < -0.09) = 1 - P(Z \leq 0.09)

                                                            = 1 - 0.5359 = 0.4641

 P(X \leq $4000) = P( \frac{X-\mu}{\sigma} \leq \frac{\$4000-\$6312}{\$3229.18} ) = P(Z \leq -0.72) = 1 - P(Z < 0.72)

                                                            = 1 - 0.7642 = 0.2358  

Therefore, P($4000 < X < $6000) = 0.4641 - 0.2358 = 0.2283.

(c) The range of spending for 3% of households with the highest daily transportation cost is given by;

                    P(X > x) = 0.03   {where x is the required range}

                    P( \frac{X-\mu}{\sigma} > \frac{x-\$6312}{3229.18} ) = 0.03

                    P(Z > \frac{x-\$6312}{3229.18} ) = 0.03

In the z-table, the critical value of z which represents the area of top 3% is given as 1.88, this means;

                           \frac{x-\$6312}{3229.18}=1.88                

                         {x-\$6312}=1.88\times 3229.18  

                          x = $6312 + 6070.86 = $12382.86

So, the range of spending for 3% of households with the highest daily transportation cost is $12382.86 or more.

8 0
2 years ago
The length of the bar for a high jump competition must always be 4.75 m. Express this measurement in millimeters. Explain your t
Elena-2011 [213]

4,750 mm

Equation with an exponent 4.75 x 10^{3} = 4,750

First, it's important to know that there are 1,000 millimeters in 1 meter. Second, it's important to know that 10^{3} is the same as 1,000. In order to find out how many millimeters are in 4.75 meters, one must multiply 4.75 by 1,000.

<h3>Further Explanation</h3>

Meters

A meter is a unit of metric measurement. Track and Field events use the metric system because it is a universal unit of measurement. Inches and feet are not units used all over the world. The Olympic Games use the metric system so this is the system that is universally adopted throughout the world for many sporting events, including track and field. Sports that are more commonly attributed to the USA and not an Olympic event often uses the US system. An example is football. The field is measured in yards instead of meters.

Millimeters

The prefix milli- means 1,000. Often it is used to denote a thousandth unit of measurement in the metric system. This is a useful item to know because it can be applied to many different math terms such as millimeters or milliliters.

Exponents

An exponent is the amount of times a number is multiplied to itself. For example 4^{2} is the same as 4 x 4 = 16. This is a faster way to write repeated multiplication.

Remember multiplication is a faster way to write repeated addition! Exponents are a faster way to write repeated multiplication.

<h3>Answer Details</h3>

Subject: Math

Level: Middle School

Topic: Exponents

<h3>Keywords</h3>

exponents, metric system, meters, millimeters

<h3>Learn More</h3>

More on Metric Systems: brainly.com/question/3956263

Metric Conversions: brainly.com/question/12443484

7 0
2 years ago
Read 2 more answers
3.52 A coin is tossed twice. Let Z denote the number of heads on the first toss and W the total number of heads on the 2 tosses.
Rufina [12.5K]

Answer:

a)  The joint probability distribution

P(0,0) = 0.36, P(1,0) = 0.24,   P(2,0) = 0,   P(0,1) = 0,  P(1,1) = 0.24,  P(2,1)= 0.16

b)  P( W = 0 ) = 0.36,    P(W = 1 ) = 0.48,  P(W = 2 ) = 0.16

c) P ( z = 0 ) = 0.6

  P ( z = 1 ) = 0.4

Step-by-step explanation:

Number of head on first toss = Z

Total Number of heads on 2 tosses = W

% of head occurring = 40%

% of tail occurring = 60%

P ( head ) = 2/5 ,    P( tail ) = 3/5

<u>a) Determine the joint probability distribution of W and Z </u>

P( W =0 |Z = 0 ) = 0.6         P( W = 0 | Z = 1 ) = 0

P( W = 1 | Z = 0 ) = 0.4        P( W = 1 | Z = 1 ) = 0.6

P( W = 1 | Z = 0 ) = 0           P( W = 2 | Z = 1 ) = 0.4

The joint probability distribution

P(0,0) = 0.36, P(1,0) = 0.24,   P(2,0) = 0,   P(0,1) = 0,  P(1,1) = 0.24,  P(2,1)= 0.16

<u>B) Marginal distribution of W</u>

P( W = 0 ) = 0.36,    P(W = 1 ) = 0.48,  P(W = 2 ) = 0.16

<u>C) Marginal distribution of Z ( pmf of Z )</u>

P ( z = 0 ) = 0.6

P ( z = 1 ) = 0.4

8 0
2 years ago
Ray made an error while solving the following equation. In which step did ray make an error?
raketka [301]

He made an error is step 2

3x + 18 = 2x +8

subtract 2x from each side

x + 18 = 8


7 0
2 years ago
Read 2 more answers
A basketball player makes 39% of her shots from the free throw line. Suppose that each of her shots can be considered independen
myrzilka [38]
68 is the correct answer. Thank you for your help! Love doing this!
4 0
2 years ago
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