A bakery sells 5 muffins for every 6 cookies it sells complete the table

Mathematics

1 answer:

tekilochka [14]3 years ago

7 0

Answer:

5 muffin 6 cookie, 10 muffin 12 cookie, 15 muffin 18 cookie, 20 muffin 30 cookie

Step-by-step explanation:

think of it as a fraction like 5/6 is the same as 10/12 and 15/18 and so on

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There are 40 marbles in a bag if 14 if the marbles are red what percent of the marbles in the bag are red

Neporo4naja [7]

$\frac{14}{40} \times 100\%=\frac{7 \times 2}{20 \times 2} \times 100\%=\frac{7}{20} \times 100\%=7 \times \frac{100}{20} \%=7 \times 5\%=35\%$

35% of the marbles are red.

4 0

3 years ago

Roger the park ranger was standing in a look out tower that was 200 ft tall. Looks down, sees a fire. Angle of depression is 7 d

Ainat [17]

Answer:

approx. 24.6 ft

Step-by-step explanation:

x=the distance of the fire from the base of the tower

200ft=the height of the tower

7 degrees=the angle of depression

Using these values you can draw a diagram that highlights that you need to use trig. to work out the answer.

Using Tan:

Tan 7=x/200 ft

multiply both sides by 200 ft

200*tan 7=24.55691218

approx. 24.6 ft

8 0

2 years ago

Graph of f(x) = 100(0.7)x

Lana71 [14]

Answer:

pay attention in class :)

Step-by-step explanation:

7 0

3 years ago

The length of time a person takes to decide which shoes to purchase is normally distributed with a mean of 8.21 minutes and a st

madam [21]

Answer:

4.55% probability that a randomly selected individual will take less than 5 minutes to select a shoe purchase.

Since Z > -2 and Z < 2, this outcome is not considered unusual.

Step-by-step explanation:

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.

If $Z \leq 2$ or $Z \geq 2$ , the outcome X is considered to be unusual.