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2 years ago

What should I say to a girl

Mathematics

2 answers:

Mars2501 [29]2 years ago

6 0

Answer:

First of all, you can say her "Hi". Try not to use the typical phrase of "It's too cold " or something similar, you'll probably think you're dumb to say something so obvious. Depending on your age and where you are you might ask something like for example "How is the work of (something)? " or anything like "You're very loaded this week? " or similar. Never try to make the conversation forced, try to look at what you like to get a topic you can talk about enough to trust you, and be careful when you get a topic you do not know. PS: Points please XD?

Step-by-step explanation:

Vika [28.1K]2 years ago

3 0

Answer:

Well it depends on what you what. If you are saying hi then say hi. If you are trying to start a conversation then say something nice like I like your shoes or something like that. One question why did you ask

Step-by-step explanation:

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Carolina goes to a paintball field that charges an entrance fee of \$18$18dollar sign, 18 and \$0.08$0.08dollar sign, 0, point,

FromTheMoon [43]

Answer: At least 713 paintballs

Step-by-step explanation:

Based on the information that has been given in the question, the inequality that'll be used to solve the question will be:

18+0.08B≥75

0.08B≥75-18

0.08B≥57

B≥57/0.08

B≥712.5

Carolina needs to buy at least 713 paintballs along with the entrance fee to get the promotion.

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3 years ago

Read 2 more answers

Write the equation that modeled the sequence 63,-21,7,-7/3,7/9

Ilya [14]

Answer:

an = 63(-1/3)^(n-1)

Step-by-step explanation:

This is a geometric sequence with first term 63 and common ratio -1/3.

The equation for the nth term is

an = 63(-1/3)^(n-1).

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2 years ago

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2 years ago

1. Suppose you have a variable X~N(8, 1.5). What is the probability that you have values between (6.5, 9.5)

Natalija [7]

Answer:

0.6826 = 68.26% probability that you have values in this interval.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

X~N(8, 1.5)

This means that $\mu = 8, \sigma = 1.5$