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2 years ago

What is 10^x=1/100? solve for x

Mathematics

1 answer:

klio [65]2 years ago

5 0

Answer:

10^x=1/100

10^x=10^-10

x=-10

Step-by-step explanation:

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Someone please help. It is easy

Juli2301 [7.4K]

Alright. So we have 2 eggs at 2.49 each. That is $4.98. We have .25 pounds cheese priced at $13.40 per pound. 13.40 x .25 = $3.35. Then we have juice at $5.49. If we add those up we get: 4.98+3.35+5.49=$13.82. Then we get $0.75 in change, so if we add $13.82 and 0.75 we get: $14.57

The answer is $14.57.
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3 years ago

The maximum amount you can spend for renting a motor scooter is $50. The rental fee is $12 and the cost per hour is $9.50. Solve

uranmaximum [27]

The maximum number of hours for which you can rent the scooter is: 4 hours

<h3>Cost of renting;</h3>

According to the question;

The maximum amount you can spend for renting a motor scooter is $50
The rental fee is $12 and the cost per hour is $9.50.

The inequality to determine the maximum number of hours you can rent the scooter is;

$12 + $9.50h <= $50

Solving the inequality, we have;

$9.50h <= $38

h <= 4hours.

Read more on cost of renting;

brainly.com/question/10563785

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2 years ago

Which pairs of rectangles are similar polygons?

kobusy [5.1K]

the longer side / the shorter side must be the same for rectangles to be similar.

For A: 105 / 80 = 1.32

For B: 120 / 90 = 1.33

For C: 100 / 75 = 1.47

So... only A and B are similar.

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3 years ago

Read 2 more answers

there are 10 million bacteria per square centimeter of coral in a coral reef. the coral reefs near the Hawaiian islands cover 14

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3 years ago

According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a

Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

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.

In this problem, we have that:

$\mu = 7.5, \sigma = 1.1$