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kaheart [24]
3 years ago
14

Judy will use 2 1/2 cups of flour for each cake she bakes. Judy has 10 cups of flour. What is the maximum number of cakes Judy c

an bake?
Mathematics
1 answer:
horsena [70]3 years ago
3 0

Answer:

4 cakes

Step-by-step explanation:

You might be interested in
Rachel budget $76.50 for school clothes. This is 0.45 of her total budget. How much does Rachel have in her total budget?
enot [183]
If Rachel's total budget was n, then:
.45n=$76.5 divide both sides by .45
n=$76.5/.45
n=$170.00 Rachel's total budget.
Oct 23, 2015 12:21 AM

6 0
3 years ago
Read 2 more answers
If someone knows the answer please help . Lots of points !
dem82 [27]

Answer:

Step-by-step explanation:

Given function is,

f(x) = -4(x - 3)² + 1

A). Negative sign of the coefficient (-4) tells that the parabola opens downwards.

    And 4 represents that the parent function is stretched vertically by 4 units.

B). By comparing this equation with the vertex form of the quadratic function,

    f(x) = a(x - h)² + k  

    Here, (h, k) is the vertex of parabola.

    Vertex of the given parabola → (3, 1)

C). Axis of symmetry → x = 3

D). Domain of the given quadratic function → (-∞, ∞)

     Range of the given function → (-∞, 1)

3 0
3 years ago
8. Carl pays $64.80 for three new DVD's. What is the cost for one DVD?
solong [7]

Answer:

$21.60

Step-by-step explanation:

First, you know you have three DVDs making the total of $64.80, so to convert it to the price of one, you must divide 64.80 by three, this is to find the price of one DVD itself.

8 0
3 years ago
8.64 ÷ 2.25 = ______
dmitriy555 [2]

Answer: 3.84

Step-by-step explanation:

cause it is use calculator

7 0
3 years ago
Read 2 more answers
A film distribution manager calculates that 5% of the films released are flops. If the manager is right, what is the probability
erik [133]

Answer:

0.1357 = 13.57% probability that the proportion of flops in a sample of 572 released films would be greater than 6%

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. 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, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A film distribution manager calculates that 5% of the films released are flops.

This means that p = 0.05

Sample of 572

This means that n = 572

Mean and standard deviation:

\mu = p = 0.05

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.05*0.95}{572}} = 0.0091

What is the probability that the proportion of flops in a sample of 572 released films would be greater than 6%?

1 subtracted by the p-value of Z when X = 0.06. So

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.06 - 0.05}{0.0091}

Z = 1.1

Z = 1.1 has a p-value of 0.8643

1 - 0.8643 = 0.1357

0.1357 = 13.57% probability that the proportion of flops in a sample of 572 released films would be greater than 6%

8 0
3 years ago
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