A stapler company checked its inventory for defective products on a random sample of 750 staplers. The company identified that 200 staplers were defective.

To the nearest percent, what is a good estimate of the percentage of all staplers at the company that are defective?

Question 3 options:

27%


550%


4%

Answer:

$78.37 ÷7

Step-by-step explanation

im not smart

1.)1/6

2.)1 5/10

3.)2 6/7

4.)2

5.)1 7/12

6.)2 4/5

7.)1/12

with like denominators you can just add or subtract freely just the top numerators

Answer:

1.)1/6

2.)1 5/10

3.)2 6/7

4.)2

5.)1 7/12

6.)2 4/5

7.)1/12

Step-by-step explanation:

Answer:

circumference of circle = 2×pi×r

circumference of circle =2×3.14×2.8 mi

circumference of circle =17.584 mi

Answer:

22% probability the student is a junior.

Step-by-step explanation:

A probability is the number of desired outcomes divided by the number of total outcomes:

The table says that:

There are 4 + 6 + 2 + 2 + 3 + 4 + 6 + 6 + 3 = 36 total students.

2 + 6 = 8 are juniors.

If a student is selected at random, find the probability the student is a junior.

8/36 = 0.2222 = 22.22%

Rounding to the nearest whole percent, 22% probability the student is a junior.

Answer:

27%

Step-by-step explanation:

9514 1404 393

Answer:

  $44,935

Step-by-step explanation:

The amount due will be ...

  A = P(1 +rt) . . . . principal P at annual rate r for t years

__

3 months is 3/12 = 1/4 years, so the amount is ...

  A = $44,000(1 +0.085×1/4) = $44,935 . . . amount paid back

Answer:

385 kilometers

Step-by-step explanation:

Divide 374 by 34 to get the unit price

Then multiply the unit price by 35

Answer:

[tex]46 \frac{7}{8} \: cubic \: feet[/tex]

Step-by-step explanation:

[tex]\boxed{volume \: of \: prism = base \: area \: \times height}[/tex]

Base area= length ×width

Let's convert all the mixed numbers into improper fraction for easier calculation.

Width

= 7½

[tex] = \frac{7(2)}{2} + \frac{1}{2} [/tex]

[tex] = \frac{14}{2} + \frac{1}{2} [/tex]

[tex] = \frac{15}{2} ft[/tex]

Height

= 1¼

[tex] = \frac{4}{4} + \frac{1}{4} [/tex]

[tex] = \frac{5}{4} ft[/tex]

Volume of prism

[tex] = 5 \times \frac{15}{2} \times \frac{5}{4} [/tex]

[tex] = \frac{375}{8} [/tex]

[tex] = 46 \frac{7}{8} \: ft {}^{3} [/tex]

Answer:

39 sq inches

Step-by-step explanation:

Answer:

this is a horizontal line which crosses the y-axis at -4

Step-by-step explanation:

Answer:

c

Step-by-step explanation:

first, find the area of the rectangle thing,

A = lw

14 x 8

112

but, there is a semicircle in it so you need to subtract that from it:

A = πr^2/2

A = π(4)^2/2

A = π16/2

A = 8π

A ≈ 25.132741228718346

then subtract that area from the area of the rectangle:

112 - 25.132741228718346

86.867258771281654

or about 89.9

A) divide actual inches by scale:

28/7 =4 cm

B) multiply actual cm by scale:

9 x 7 = 63 inches

Answer:

v < 7/12

Step-by-step explanation:

Answer:2

Step-by-step explanation:

Answer: Its the tens place, do you not pay attention in school?

Answer:

D. Completely randomized design

Step-by-step explanation:

Based on the description given about the experiment above and the manner in which the subjects were assigned to each of the treatment groups available, we can deduce that the study was conducted using a completely randomized design. The subjects weren't matched or blocked for any variable such as sex, height, age or any other variable. They were just evenly split randomly into the two available treatment levels ( those who receive the treatment and the placebo) group. With this design, all subjects have an equal chance of being in any of the two groups and the selection bias is almost totally eliminated using this sort of design as errors are being considered as arising from experimental faults.

Answer:

Ratio tables show equivalent ratios between two quantities. They can help you find equivalent ratios in order to solve problems.

hope this helps:) emoji slammm

Answer:

x=9/8

Step-by-step explanation:

Answer:

r = 7.7

Step-by-step explanation:

A = πr²

60π = πr²

r² = 60π/π

r² = 60

[tex]\sqrt{r^2} =\sqrt{60}[/tex]

r = 7.746

Rounded to tenths:

7.7

Answer: ~31.3

first use the pythagorean theorem. a^2+(40)^2=50^2.

simply. a+1600=2500. subtract 1600 from both sides. a^2=900.

square root both sides to get a= 30

then find how far the top of the ladder is from the ground once in its new position.

a^2+(39)^2=50^2.

simplify. a^2+1512=2500. subtract 1512 from both sides to get a^2=979.

square root both sides to get a=31.288975. round to the nearest tenth to get a=31.3

Answer:

Step-by-step explanation: iT'S 31.3

Answer:

0.065 metric tons

Step-by-step explanation:

Given

65 kg

To find

Convert 65 kg to metric tons

Then, the answer is 0.065 metric tons

Answer: g  

its g cause I solved it and got g

Answer:

The answer is G. Hope this helps!

Answer:

$10,213.34

Step-by-step explanation:

Using the compound interest formula;

A = P(1+r/n)^t

Given that;

P = $7,200

rate r = 6% = 0.06

Time t = 6years

n = 1

Substitute into the formula

A = 7200(1+0.06)^6

A = 7200(1.06)^6

A = 7200(1.4185)

A = 10,213.34

Hence the final amount is $10,213.34

Answer:

[tex] \frac{5}{2} \times \frac{3}{4} \\ \frac{15}{8} [/tex]

Answer:

15/8

Step-by-step explanation:

2.5/2 = 1.25

1.25/2 = 0.625

2.5 - 0.625 = 1.875

1.875 = 75/40 = 15/8

Answer:

a) 0.0526 = 5.26% probability that more than 40 babies weigh less than 25 pounds.

b) 0.409 = 40.9% probability that 34 or more babies weigh less than 25 pounds.

c) 0.6249 = 62.49% probability that the number of babies who weigh less than 25 pounds is between 28 and 38 exclusive.

Step-by-step explanation:

The binomial approximation to the normal is used to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

[tex]E(X) = np[/tex]

The standard deviation of the binomial distribution is:

[tex]\sqrt{V(X)} = \sqrt{np(1-p)}[/tex]

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that [tex]\mu = E(X)[/tex], [tex]\sigma = \sqrt{V(X)}[/tex].

A government agency reports that 22% of baby boys 6-8 months old in the United States weigh less than 25 pounds.

This means that [tex]p = 0.22[/tex]

A sample of 147 babies is studied.

This means that [tex]n = 147[/tex]

Mean and standard deviation:

[tex]\mu = E(X) = np = 147*0.22 = 32.34[/tex]

[tex]\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{147*0.22*0.78} = 5.02[/tex]

(a) Approximate the probability that more than 40 babies weigh less than 25 pounds.

Using continuity correction, this is P(X > 40 + 0.5) = P(X > 40.5), which is 1 subtracted by the pvalue of Z when X = 40.5. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{40.5 - 32.34}{5.02}[/tex]

[tex]Z = 1.62[/tex]

[tex]Z = 1.62[/tex] has a pvalue of 0.9474

1 - 0.9474 = 0.0526

0.0526 = 5.26% probability that more than 40 babies weigh less than 25 pounds.

(b) Approximate the probability that 34 or more babies weigh less than 25 pounds.

Using continuity correction, this is [tex]P(X \geq 34 - 0.5) = P(X \geq 33.5)[/tex], which is 1 subtracted by the pvalue of Z when X = 33.5. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{33.5 - 32.34}{5.02}[/tex]

[tex]Z = 0.23[/tex]

[tex]Z = 0.23[/tex] has a pvalue of 0.591

1 - 0.591 = 0.409

0.409 = 40.9% probability that 34 or more babies weigh less than 25 pounds.

(c) Approximate the probability that the number of babies who weigh less than 25 pounds is between 28 and 38 exclusive.

Exclusive means that we dont count 28 and 38, so, using continuity correction, this is [tex]P(28 + 0.5 \leq X \leq 38 - 0.5) = P(28.5 \leq X \leq 37.5)[/tex], which is the pvalue of Z when X = 37.5 subtracted by the pvalue of Z when X = 28.5. So

X = 37.5

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{37.5 - 32.34}{5.02}[/tex]

[tex]Z = 1.03[/tex]

[tex]Z = 1.03[/tex] has a pvalue of 0.8485

X = 28.5

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{28.5 - 32.34}{5.02}[/tex]

[tex]Z = -0.76[/tex]

[tex]Z = -0.76[/tex] has a pvalue of 0.2236

0.8485 - 0.2236 = 0.6249

0.6249 = 62.49% probability that the number of babies who weigh less than 25 pounds is between 28 and 38 exclusive.

Answer:

Step-by-step explanation

Answer:

110.068181818

Step-by-step explanation:

Answer:

y = 218

Step-by-step explanation:

Mean = (Sum of all numbers)/(How many numbers present)

27 = (20 + 2y + 25 + y + 30)/27

27 = (3y + 75)/27

3y + 75 = 729

3y = 729 - 75

3y = 654

y = 218

Answer:

42

Step-by-step explanation:

Answer: 42

Step-by-step explanation: 7 x 6 = 42