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gtnhenbr [62]
4 years ago
9

PLEASE HELP!!! PLZ!!!

Mathematics
1 answer:
Helen [10]4 years ago
7 0
We can use the vertex form
y = a {(x - h)}^{2}  + k
to find the equation of the graph. We know that a is the coefficient, and since the graph opens upwards and is slightly stretched vertically, we know that a is 1/3. On the graph, we see that the vertex of the parabola is at (0,-1). Therefore, h is 0 and k is -1.
Our vertex form equation is
y =  \frac{1}{3} {x}^{2}  - 1
Which is D
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22x0.0525 = 1.155

22 x 0.15 = 3.3 (tip)

22 + tax + tip = 26.46 (unless the tax is actually 11.55)

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Danielle wants to buy a video game. At the local Big Box store, it costs $49.95. Danielle has a coupon for 10% off at the store,
KATRIN_1 [288]
Here are the answers to the questions above. Given the problem, let us solve first for the cost of each store. At a local store, it costs $49.95. Since she has a 10% off discount, the amount that she will be paying is $44.955. Since, there is a 6.5% tax, the total amount she will be paying is $48.20. Now, for the online store, it costs $44.95 plus a shipping charge of $4.00 so the total would be $48.95. Given these results, it would be cheaper if she buys in the local store. Hope this helps.
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Bob paid $4.75 for a book, which was a savings of $2.50. What was the original price of the book?
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4 0
3 years ago
34. Find each of the following probabilities when n indepen- dent Bernoulli trials are carried out with probability of success p
mr Goodwill [35]

Answer:

A.) (1 - p)^n

B.) 1 - (1 - p)^n

C.) (1 - p)^n + np*(1-p)^(n-1)

D.) 1 - (1 - p)^n - np*(1-p)^(n-1)

Step-by-step explanation:

General form of a binomial probability :

P(x = x) = nCx * p^x * q^(n-x)

q = 1 - p ; n = number of trials ; x = number of successes ; p = probability of success

A.) probability of no successes ;

P(x = 0) = nC0 * p^0 * (1 - p)^(n-0)

P(x = 0) = 1 * 1 * (1 - p)^n

P(x = 0) = (1 - p)^n

Probability of atleast one success = 1 - P(no success)

P(x ≥ 1) = 1 - P(x = 0)

P(x = 0) = (1 - p)^n

P(x ≥ 1) = 1 - P(x = 0) = 1 - (1 - p)^n

Probability of at most one success

P(x ≤ 1) = p(x = 0) + p(x = 1)

P(x = 0) = (1 - p)^n

P(x = 1) = nC1 * p^1 * (1 - p)^(n-1)

P(x = 1) = n * p * (1 - p)^(n-1) = np*(1-p)^(n-1)

P(x ≤ 1) = (1 - p)^n + np*(1-p)^(n-1)

Probability of atleast two successes:

(1 - probability of at most 2 successes)

P(x ≥ 2) = 1 - P(x ≤ 1)

P(x ≥ 2) = 1 - (p(x = 0) + p(x = 1))

P(x ≥ 2) = 1 - p(x = 0) - p(x = 1))

P(x ≥ 2) = 1 - (1 - p)^n - np*(1-p)^(n-1)

6 0
3 years ago
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