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Julli [10]
3 years ago
9

An item has a listed price of $40 . If the sales tax rate is 3% , how much is the sales tax (in dollars)?

Mathematics
1 answer:
elena-s [515]3 years ago
6 0

Answer:

$1.20

Step-by-step explanation:

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Answer:

Option A, C, and E

Step-by-step explanation:

7 to the fourth power is the same as 7 times 7 times 7 times 7.

7^4 is the same thing as 7 to the fourth power, just rewritten.

I hope this helped, please give brainliest if this is correct! Thank you!

8 0
3 years ago
I need help on this question
katen-ka-za [31]
Measure of the interior angle: 180 -113: 67
the measure of interior angle is 67.
8 0
3 years ago
What is the answer to x-41.5=13.5
nikklg [1K]

Answer: 55

Step-by-step explanation:

just add 41.5 on 13.5 and that is x

4 0
3 years ago
Read 2 more answers
Of the students attending a rock concert, 80 of them were 8th graders. Of these 8th graders, 25% of them were wearing ear plugs.
zhuklara [117]

Answer:

15%

Step-by-step explanation:

If 10% of the 25% of 8th graders who were male, 15% would be females because 25-10= 15. So, 15% would be my answer.

6 0
2 years ago
For a fair coin, suppose you toss the coin 100 times.
Natasha_Volkova [10]

Using the normal distribution, it is found that there is a 0.0005 = 0.05% probability of getting more than 66 heads.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

For the binomial distribution, the parameters are given as follows:

n = 100, p = 0.5.

Hence the mean and the standard deviation of the approximation are given as follows:

  • \mu = np = 100(0.5) = 50.
  • \sigma = \sqrt{np(1-p)} = \sqrt{100(0.5)(0.5)} = 5

Using continuity correction, the probability of getting more than 66 heads is P(X > 66 + 0.5) = P(X > 66.5), which is <u>one subtracted by the p-value of Z when X = 66.5</u>.

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

Z = \frac{66.5 - 50}{5}

Z = 3.3

Z = 3.3 has a p-value of 0.9995.

1 - 0.9995 = 0.0005.

0.0005 = 0.05%

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

6 0
2 years ago
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