True or false: the relationship between the number of workers and the number of bars produced is proportional.

A recipe for banana bread requires 3 cups of bananas for every 1 1/2 cups of sugar used.At this rate,how many cups of sugar shou

arsen [322]

Answer: 1 cup of sugar

Step-by-step explanation:

A recipe for banana bread requires 3 cups of bananas for every 1 1/2 cups of sugar used.

Converting 1 1/2 cups of sugar to improper fraction becomes 3/2 cups of sugar.

If 3 cups of bananas is required for 3/2 cups of sugar,

x cups of bananas will require 1 cup of sugar

3x / 2 = 3

3x = 6

x = 6/3 = 2

Therefore,

2 cups of bananas will require 1 cup of sugar.

We are looking for the number of cups of sugar that would require 2 cups of bananas.

We already got the answer.

1 cup of sugar would be used if 2 cups of bananas are used.

6 0

3 years ago

Which linear function represents the line given by the point-slope equation y + 1 = –3(x – 5)?

Juliette [100K]

Y + 1 = -3(x - 5)
y + 1 = -3x + 15
y = -3x + 15 - 1
y = -3x + 14 <== or f(x) = -3x + 14

4 0

3 years ago

Read 2 more answers

Suppose monthly rental prices for a one-bedroom apartment in a large city has a distribution that is skewed to the right with a

omeli [17]

Answer:

a) Nothing, beause the distribution of the monthly rental prices are not normal.

b) 1.43% probability that the sample mean rent price will be greater than $900

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 normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sample means with size n of at least 30 can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$

(a) Suppose a one-bedroom rental listing in this large city is selected at random. What can be said about the probability that the listed rent price will be at least $930?

Nothing, beause the distribution of the monthly rental prices are not normal.

(b) Suppose a random sample 30 one-bedroom rental listing in this large city will be selected, the rent price will be recorded for each listing, and the sample mean rent price will be computed. What can be said about the probability that the sample mean rent price will be greater than $900?

Now we can apply the Central Limit Theorem.

$\mu = 880, \sigma = 50, n = 30, s = \frac{50}{\sqrt{30}} = 9.1287$

This probability is 1 subtracted by the pvalue of Z when X = 900.

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

By the Central Limit Theorem

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

$Z = \frac{900 - 880}{9.1287}$

$Z = 2.19$

$Z = 2.19$ has a pvalue of 0.9857

1 - 0.9857 = 0.0143

1.43% probability that the sample mean rent price will be greater than $900

8 0

3 years ago

Find the product of 0.032 and -1.9

vesna_86 [32]

Answer:

i think it's -0.0608

Step-by-step explanation:

7 0

3 years ago

Help my little brother

Marrrta [24]

Answer:

1) 6

2) 9

3) 80

4) 10

5) 4

6) 4

Step-by-step explanation:

1) 36 / 6 = 6

2) 45 / 5 = 9

3) 10 * 8 = 80

4) 5 * 2 = 10

5) 16 / 4 = 4

6) 12 / 3 = 4

Hope this helped!

4 0

3 years ago