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svlad2 [7]
3 years ago
15

Yony wants to buy a scooter that is $129. This is $24 more than 3 time sthan what he saved last month. How much did he save last

month? WILL CHOOSE BRAINLIEST PLS SHOW ALL WORK DUE RIGHT NOW
Mathematics
1 answer:
9966 [12]3 years ago
3 0
44.33 is the right answer
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18. WILL MARK BRAINLIEST!!HELP! ​
vagabundo [1.1K]

Answer:

3x-20

Step-by-step explanation:

5 0
3 years ago
What is the decimal multiplier to decrease by 3.4%?
olga nikolaevna [1]

Answer:

3.4%

=3.4/100

=0.034

Now,

1-0.034

0.966

0.966 is the multiplier

Step-by-step explanation:

8 0
2 years ago
Need help will give brianly
Katen [24]

3. No it is not on the graph.

because: y=2x+5 insert (5,6)

              6=2x5 +5 is wrong

4. C

8 0
3 years ago
The distribution of resistance for resistors of a certain type is known to be normal, with 10% of all resistors having a resista
baherus [9]

Answer:

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

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.

10% of all resistors having a resistance exceeding 10.634 ohms

This means that when X = 10.634, Z has a pvalue of 1-0.1 = 0.9. So when X = 10.634, Z = 1.28.

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

1.28 = \frac{10.634 - \mu}{\sigma}

10.634 - \mu = 1.28\sigma

\mu = 10.634 - 1.28\sigma

5% having a resistance smaller than 9.7565 ohms.

This means that when X = 9.7565, Z has a pvalue of 0.05. So when X = 9.7565, Z = -1.96.

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

-1.96 = \frac{9.7565 - \mu}{\sigma}

9.7565 - \mu = -1.96\sigma

\mu = 9.7565 + 1.96\sigma

We also have that:

\mu = 10.634 - 1.28\sigma

So

10.634 - 1.28\sigma = 9.7565 + 1.96\sigma

1.96\sigma + 1.28\sigma = 10.645 - 9.7565

3.24\sigma = 0.8885

\sigma = \frac{0.8885}{3.24}

\sigma = 0.2742

The mean is

\mu = 10.634 - 1.28\sigma = 10 - 1.28*0.2742 = 9.65

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

8 0
3 years ago
With 128,134,140,146,152,whats the next number If the pattern continues?
Xelga [282]
By adding 6, the next number should be 158
6 0
2 years ago
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