All categories

3 years ago

What is 5/16 expressed as a percent? Enter your answer in the box.

Mathematics

1 answer:

kenny6666 [7]3 years ago

4 0

Answer:

31.25 %

Step-by-step explanation:

The fraction bar also means divide:

5 / 16

5 Divided By 16

0.3125

0.3125 * 100

= 31.25

- I.A -

You might be interested in

The length of a rectangle is 2 centimeters more than five times the width. The perimeter is 114 inches. Find the width and the l

gogolik [260]

1. Let L=length and W=width
2. L=5w+2
3. The perimeter can be solved as follows:
(5w+2) + (5w+2) + w + w = 114 in
12w + 4 = 114 in
12w = 110
w = 110/12
w = 9.17
L = 47.83

7 0

3 years ago

For questions 1-4 The spinner to the left is spun 100 times.

lara [203]

Answer:

1) If it is spun 250 times, it will not land on W 207 times.

2) If it is spun 100 times, it will land on N 17 times (rounded up).

3) 1 out of 6

4) It has the same answer as 1) (If it is spun 250 times, it will not land on W 207 times.)

4 0

2 years ago

A glass pitcher holds 6 1/3 cups of pineapple juice. Tracy transfers the juice in equal amounts into 3 bottles. How many cups of

horrorfan [7]

6 1/3 divided by 3
The answer is 19

5 0

3 years ago

Read 2 more answers

The graph represents a functional relationship. On a coordinate plane, a straight line with a negative slope begins at point (1,

Zepler [3.9K]

Letra A) bons estudos

7 0

3 years ago

A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the

a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

Let $\hat p$ = sample proportion

The z-score probability distribution for sample proportion is given by;

Z = $\frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }$ ~ N(0,1)

where, $\hat p$ = sample proportion

p = true proportion = 0.04

n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be less than 0.03 is given by = P( $\hat p$ < 0.03)

P( $\hat p$ < 0.03) = P( $\frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }$ < $\frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } }$ ) = P(Z < -1.27) = 1 - P(Z $\leq$ 1.27)

= 1 - 0.89796 = 0.10204

Now, in the z table the P(Z $\leq$ x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

5 0

3 years ago