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miss Akunina [59]
3 years ago
10

Multiple choice question

Mathematics
2 answers:
galina1969 [7]3 years ago
4 0
The answer is B. slope 0 intercept -5
tino4ka555 [31]3 years ago
4 0
The answer is b. Y=-5 makes the graph a horizontal line with no slope. The y-intercept has to be (0,-5) because y=-5.
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Evaluate u + xy, if u = 18, x = 10, and y = 8. <br><br> A. 188<br> B. 36 <br> C. 98<br> D. 224
Luda [366]
If you would like to evaluate u + xy, you can do this using the following steps:

u = 18, x = 10, y = 8
u + xy = 18 + 10 * 8 = 18 + 80 = 98

The correct result would be C. 98.
7 0
3 years ago
Read 2 more answers
What would be 82% of 50
MrRissso [65]
10% = 5
80% = 40
2% = 1
82% = 41

41
5 0
3 years ago
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Solve for x!! help this is due soon
Umnica [9.8K]

Answer

91

Step-by-step explanation:

62+27+x=180

6 0
3 years ago
a basket of oranges weighs 25lb 3oz. The empty basket weighs 1lb 4oz. What is the weight of the oranges?​
marysya [2.9K]

Answer:

383 Oz, or 23.9375 Ibs

Step-by-step explanation:

Convert all the pounds to ounces for both just the basket and the basket with oranges then subratact the basket ounces from the basket and oranges ounces and you get your answer.

3 0
2 years ago
Steph makes 90 % 90%90, percent of the free throws she attempts. She is going to shoot 3 33 free throws. Assume that the results
zmey [24]

Using the binomial distribution, it is found that there is a 0.027 = 2.7% probability that he makes exactly 1 of the 3 free throws.

For each free throw, there are only two possible outcomes, either he makes it, or he misses it. The results of free throws are independent from each other, hence, the binomial distribution is used to solve this question.

Binomial probability distribution

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

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

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • He makes 90% of the free throws, hence p = 0.9.
  • He is going to shoot 3 free throws, hence n = 3.

The probability that he makes exactly 1 is P(X = 1), hence:

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

P(X = 1) = C_{3,1}.(0.9)^{1}.(0.1)^{2} = 0.027

0.027 = 2.7% probability that he makes exactly 1 of the 3 free throws.

To learn more about the binomial distribution, you can take a look at brainly.com/question/24863377

3 0
2 years ago
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