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2 years ago

Free :) have a good day losers <3

Mathematics

2 answers:

Marina86 [1]2 years ago

4 0

Step-by-step explanation:

thanks but not to losers,.... victory is waiting there for me...

xenn [34]2 years ago

3 0

Answer: Ayyy thx and also have a wonderful day also!!!!

No victory is waiting there for me lol!!!!

Ur the nicest person on here too

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A pet store has 7 cats. Here are their weights (in pounds).

Alexandra [31]

I believe the mean is 60 pounds

6 0

2 years ago

Chef Andy needed to adapt his recipes for his European kitchen staff in Paris. He was 1-pound portions of entrecote, 2 ounces

Ronch [10]

Answer:

1 pound = 0.454 kilograms

1 ounce = 0.0296 liters

1 ounce = 0.0283 kilograms

Step-by-step explanation:

You need to convert the quantities to their corresponding unit.

Convert pounds to kilograms (For the entrecote)

1 pound = 0.454 kilograms

Thus, 1 pound of entrecote = 0.454 kilograms

Ounces to liters (for the Béarnaise, since it is a liquid)

1 ounce = 0.0296 liters

2 ounces of Béarnaise = 0.0592 liters

Ounces to kilograms (for the asparagus)

1 ounce = 0.0283 kilograms

4 ounces of asparagus =0.1132 kilograms

8 0

3 years ago

Through (-1,-5) parallel to x=2

Tamiku [17]

Paralell to x=c1 is x=c2 where c1 and c2 are constants
for x=2, passing through (-1,-5), that is (x,y)
x=-1 is the line

5 0

2 years ago

Read 2 more answers

You are remodeling your kitchen. You've contacted two tiling companies who gladly told you how long it took their workers to til

quester [9]

Ok so pete lays 10 more than jim per hour

pete and jim laid same amount of tiles

j=jim's rate
p=pete's rate

6j=5p

but pete lays 10 tile per hour faster so
p=10+j

sub
6j=5(10+j)
6j=50+5j
minus 5j both sides
j=50

jim can lay at 50 tiles per hour

7 0

2 years ago

Read 2 more answers

The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a st

Alinara [238K]

Answer:

There is a 0.82% probability that a line width is greater than 0.62 micrometer.

Step-by-step explanation:

Problems of normally distributed samples can be 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

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

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. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem

The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a standard deviation of 0.05 micrometer, so $\mu = 0.5, \sigma = 0.05$ .