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2 years ago

6

The Lunar New Year festival is a 15-day celebration. How many weeks is that? Find the decimal number of weeks that is the same a

s 15 days.
A. 7.23 weeks
B. 2.14 weeks
C. 2.25 weeks
D. 7.54 weeks

1 answer:

vagabundo [1.1K]2 years ago

7 0

Answer:

B. It's actually something like 2.142857143... but you know, the closest answer is 2.14.

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Question 1(Multiple Choice Worth 2 points)

earnstyle [38]

These are 3 questions and 3 answers.

1) Find

$\lim_{x \to \ 2^+} f(x)$

Answer: 4.

Explanation:

The expression means the limit as the function f(x) approaches 2 from the right.

Then, you have to use the function (the line) that comes from the right of 2 and gets as close as you want to x = 2.

That is the line that has the open circle around y = 4, and that is the limit searched.

2) Use the graph to determine the limit if it exists.

Answer:

$\lim_{x \to \ 2^-} f(x) = 3$

$\lim_{x \to \ 2^+} f(x)=-3$

To determine each limit you use the function from the side the value of x is being approached.

Note, that since the two limits are different it is said that the limit of the function as it approaches 2 does not exist.

3)
Answer: - 1

$\lim_{x \to \ 3^-} f(x) = -1$

To find the limit when the function is approached to 3 from the left you follow the line that ends with the open circle at (3, -1).

Therefore, the limit is - 1.

5 0

2 years ago

Read 2 more answers

A symmetrical binomial distribution with large sample size can be approximated by a __________

sweet [91]

Typical distribution?

7 0

2 years ago

Assuming a binomial distribution, a production process produces 2% defective parts. A sample of five parts from the production p

Murrr4er [49]

Answer:

0.38% probability that the sample contains exactly two defective parts.

Step-by-step explanation:

For each part, there are only two possible outcomes. Either it is defective, or it is not. The probabilities for each part being defective are independent from each other. So we use the binomial probability distribution to solve this problem.

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.

In this problem we have that:

$n = 5, p = 0.02$

What is the probability that the sample contains exactly two defective parts?

This is $P(X = 2)$

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

$P(X = 2) = C_{5,2}.(0.02)^{2}.(0.98)^{3} = 0.0038$

0.38% probability that the sample contains exactly two defective parts.

3 0

2 years ago

Which of the following predictions can be calculated using a geometric distribution?

snow_lady [41]

Answer: C

both a and b

Step-by-step explanation:

Both options A and B deals with the number of trials required for a single success. Thus, they are negative binomial distribution where the number of successes (r) is equal to 1.

The geometric distribution is a special case of the negative binomial distribution that deals with the number of trials required for a single success.

3 0

2 years ago

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What did you do to find the GCF given the remaining factors?

scoray [572]

Answer:

To find GCD or HCF, just write the common factor.

Step-by-step explanation:

To find the GCF of greater numbers, you can factor each number to find their prime factors, identify the prime factors they have in common, and then multiply those together.

8 0

2 years ago