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bogdanovich [222]
3 years ago
11

What is the scale factor of the drawing?

Mathematics
2 answers:
pishuonlain [190]3 years ago
8 0

Answer:

the corresponding measurement of the original figure. A scale factor is a number used as a multiplier in scaling. (Units are not mentioned in a scale factor.) Example: A sidewalk 20 feet long is drawn on a map as 4 inches in length.

nalin [4]3 years ago
7 0

Answer:

A drawing that shows a real object with accurate sizes reduced or enlarged by a certain amount (called the scale). The scale is shown as the length in the drawing, then a colon (":"), then the matching length on the real thing.

Step-by-step explanation:

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Assume that the distribution of weights of adult men in the United States is normal with mean 190 pounds and standard deviation
avanturin [10]

Answer:

182.41

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

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

Z = \frac{X - \mu}{\sigma}

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.

In this problem, we have that:

\mu = 190, \sigma = 30

40th percentile

Value of X when Z has a pvalue of 0.4. So X when Z = -0.253.

Z = \frac{X - \mu}{\sigma}

-0.253 = \frac{X - 190}{30}

X - 190 = -0.253*30

X = 182.41

So the answer is 182.41.

5 0
3 years ago
How do you make a line chart
Ksju [112]
S you would start at the number is the lowest and work your way up to the highest number put a dot on each number you then draw a line and connect it 
3 0
3 years ago
Who knows how to do this I TRULY NEED HELP
Pavlova-9 [17]

Answer: The answer is #3

Step-by-step explanation:

3 0
3 years ago
You have received an order of 100 robotic resistance spot welders which contains 5 defective welders. You randomly select 15 wel
erica [24]

Answer:

a)

P(X = 0) = h(0,100,15,5) = \frac{C_{5,0}*C_{95,15}}{C_{100,15}} = 0.4357

P(X = 1) = h(1,100,15,5) = \frac{C_{5,1}*C_{95,14}}{C_{100,15}} = 0.4034

P(X = 2) = h(2,100,15,5) = \frac{C_{5,2}*C_{95,13}}{C_{100,15}} = 0.1377

P(X = 3) = h(3,100,15,5) = \frac{C_{5,3}*C_{95,12}}{C_{100,15}} = 0.0216

P(X = 4) = h(4,100,15,5) = \frac{C_{5,4}*C_{95,11}}{C_{100,15}} = 0.0015

P(X = 5) = h(5,100,15,5) = \frac{C_{5,5}*C_{95,10}}{C_{100,15}} = 0.00004

b) 0.154% probability that there are at least 4 defective welders in the sample

Step-by-step explanation:

The welders are chosen without replacement, so the hypergeometric distribution is used.

The probability of x sucesses is given by the following formula:

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

In which

x is the number of sucesses.

N is the size of the population.

n is the size of the sample.

k is the total number of desired outcomes.

Combinations formula:

C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

In this question:

100 welders, so N = 100

Sample of 15, so n = 15

In total, 5 defective, so k = 5

(a) Determine the PMF of the number of defective welders in your sample?

There are 5 defective, so this is P(X = 0) to P(X = 5). Then

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

P(X = 0) = h(0,100,15,5) = \frac{C_{5,0}*C_{95,15}}{C_{100,15}} = 0.4357

P(X = 1) = h(1,100,15,5) = \frac{C_{5,1}*C_{95,14}}{C_{100,15}} = 0.4034

P(X = 2) = h(2,100,15,5) = \frac{C_{5,2}*C_{95,13}}{C_{100,15}} = 0.1377

P(X = 3) = h(3,100,15,5) = \frac{C_{5,3}*C_{95,12}}{C_{100,15}} = 0.0216

P(X = 4) = h(4,100,15,5) = \frac{C_{5,4}*C_{95,11}}{C_{100,15}} = 0.0015

P(X = 5) = h(5,100,15,5) = \frac{C_{5,5}*C_{95,10}}{C_{100,15}} = 0.00004

(b) Determine the probability that there are at least 4 defective welders in the sample?

P(X \geq 4) = P(X = 4) + P(X = 5) = 0.0015 + 0.00004 = 0.00154

0.154% probability that there are at least 4 defective welders in the sample

5 0
3 years ago
THIS IS SO HARD TO ME
kkurt [141]

Answer:

There is a data point at 14 that doesn't fit (the rest are close to each other). The most dots is the highest frequency so 6. The amount of days is the amount of dots there are so 16. The total amount of fish caught is shown by the dots so each dot has a value of the number below it so 1 + 2 + 2 + 3 + 4 + 4 + 5 + 5 + 5 + (4 x 6 so four six's) + 7 + 7 + 14 = 83

Hope this helps you understand this question

6 0
4 years ago
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