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icang [17]
3 years ago
9

Help ASAP What are the correct notations for the following number line? (Select all that Apply)

Mathematics
1 answer:
ASHA 777 [7]3 years ago
4 0

Answer:

the first, third and fourth options are correct

You might be interested in
Alan, Bobby and Chris are comparing their ages. The ratio of Alan's age to
SOVA2 [1]

Answer:

1638392772127273930337733930282823829393

3 0
3 years ago
What is the equation of the line that has a slope of -3 and goes through the point (3,-1)
Pachacha [2.7K]

Answer:

y = -3x+8

Step-by-step explanation:

We can use the slope intercept form of an equation

y = mx+b  where m is the slope and b is the y intercept

y = -3x+b

Substitute the point into the equation

-1 = -3(3)+b

-1 = -9+b

Add 9 to each side

-1+9 = -9+9+b

8 =b

y = -3x+8

5 0
4 years ago
A ski resort gets an average of 2,000 customers per weekday with a standard deviation of 800 customers. Assume the underlying di
ladessa [460]

Answer:

0.62% probability that a ski resort averages more than 3,000 customers per weekday over the course of four weekdays

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 2000, \sigma = 800, n = 4, s = \frac{800}{\sqrt{4}} = 400

Trobability a ski resort averages more than 3,000 customers per weekday over the course of four weekdays.

This is 1 subtracted by the pvalue of Z when X = 3000. So

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

By the Central Limit Theorem

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

Z = \frac{3000 - 2000}{400}

Z = 2.5

Z = 2.5 has a pvalue of 0.9938

1 - 0.9938 = 0.0062

0.62% probability that a ski resort averages more than 3,000 customers per weekday over the course of four weekdays

3 0
3 years ago
​
liraira [26]
So what’s the questions
4 0
3 years ago
On a map, 2 inches represent 35 miles. How many inches would 105 miles be
Genrish500 [490]

Answer:

6 inches

Step-by-step explanation:

105÷35=3

3x2=6

7 0
2 years ago
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