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3 years ago

How many toothpicks are used to create Figure 10? Describe how you found the answer.

Mathematics

1 answer:

finlep [7]3 years ago

5 0

So for the tenth figure you would have 58 toothpicks on the bottom layer and then because for all the layers above you wouldn't need a base, you would just find the number in the next row and from there keep subtracting 4:
58
35
31
27
23
19
15
11
7
3
Now add all these numbers and you should get a total of 229

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99.00000000000 x 9/11

julia-pushkina [17]

Step-by-step explanation:

=99*9/11

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=891/11

=81

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3 years ago

A mattress store is having a sale all mattresses are 30% of. Nate wants to know the sale price of a mattress that is regularly $

koban [17]

Answer: $700

Step-by-step explanation:

The store is selling at 30% off.

If a mattress is $1,000, first find out what 30% of $1,000 is:

= 1,000 * 30%

= $300

The store is selling 30% off, this means that they are reducing the price by 30%:

= 1,000 - 300

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2 years ago

ms.ling bought party hats for the 86 fourth graders at her school.the hats come in packages of 6 how many packages did Ms.ling b

Paul [167]

She bought 15 packages. You divide 86 by 6, but there is a remainder. pay no attention to it though, just add 1 to the answer.

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3 years ago

Zx and Zy are supplementary angles. Zy measures 139º. What is the measure of Zx?

Scorpion4ik [409]

Answer:

Step-by-step explanation:

supplementary angle is 180

therfore to fin

d the answer =

180-139=41

6 0

3 years ago

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30 What score is necessary to reach

nlexa [21]

Answer:

A score of 150.25 is necessary to reach the 75th percentile.

Step-by-step explanation:

Problems of normal distributions can be 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.

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30.

This means that $\mu = 130, \sigma = 30$