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Dominik [7]
3 years ago
10

What is the probability of choosing a burrito with cheese and a taco or a wrap with salsa?

Mathematics
1 answer:
neonofarm [45]3 years ago
3 0
7:2
Step-by-step explanation:
Step one is to think about how often tacos are made. Tacos are made often. Now think about how often Wraps are made, not very often. After some research, the ratio is 7 burritos to 2 wraps. This would make the answer 7:2. Unfortunately tacos are more loved than Wraps.
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This graph shows transformations between<br> f(x) = 10^x and g(x)= a •10^x
nikklg [1K]

Answer:

When we have a graph of a function y = f(x) = 10^x

A vertical dilation can be made by multiplying the function by a scale factor a.

Then the dilated graph is y = g(x) = a*10^x

This means that the graph that shows the dilation is a graph that is dilated vertically in with a scale factor equal to a (if a is smaller than 1, this is called a compression).

You can look for easy points to see which is the correct graph.

For example, when x = 0, f(0) = 10^0 = 1

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3 years ago
The Hawkins Company randomly samples 10 items from every large batch before the batch is packaged and shipped. According to the
agasfer [191]

Answer:

0.9138 = 91.38%

Step-by-step explanation:

For each item, there are only two possible outcomes. Either it is defective, or it is not. The probability of an item being defective is independent of other items. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which 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)!}

And p is the probability of X happening.

10 items

This means that n = 10

5 percent of the items shipped can be defective.

This means that p = 0.05

Probability that a batch that meets the contract requirements will be shipped without further inspection

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So

P(X \leq 1) = P(X = 0) + P(X = 1)

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{10,0}.(0.05)^{0}.(0.95)^{10} = 0.5987

P(X = 1) = C_{10,1}.(0.05)^{1}.(0.95)^{9} = 0.3151

P(X \leq 1) = P(X = 0) + P(X = 1) = 0.5987 + 0.3151 = 0.9138

So the answer is:

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geniusboy [140]

Answer:

-1=7-8

Step-by-step explanation:

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-1=-1

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