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Paraphin [41]
3 years ago
10

two trains leave the station at the same time, one heading west and the other heading east. the westbound train travels at 65 mi

les per hour. the eastbound train travels at 85 miles per hour. how long will it take for the two trains to be 390 miles apart
Mathematics
2 answers:
Yanka [14]3 years ago
4 0
Hour one:

Eastbound train- 65 mi
Westbound train- 85 mi

150 miles apart

Hour two:

Eastbound train- 130 mi
Westbound train- 170 mi

300 miles apart

Eastbound train travels 32.5 miles in 30 min, Westbound train travels 42.5 miles in 30 min

Two and a half hours:

Eastbound train- 162.5 mi
Westbound train- 212.5 mi
Sergeeva-Olga [200]3 years ago
3 0

Answer:

Step-by-step explanation:

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Answer:

Step-by-step explanation:

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Y= -(x-1)^2+1<br><br><br>please helppppp​
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y=-5/4

Step-by-step explanation:

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2 years ago
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√2 times √800 anyone know?
jeka94

\sqrt{2}  \times  \sqrt{800}

\sqrt{2}  \times 20 \sqrt{2}

\sqrt{2}  \times  \sqrt{2}  =  \sqrt{4}  \:  = 2

20 \times 2 = 40

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3 years ago
An Epson inkjet printer ad advertises that the black ink cartridge will provide enough ink for an average of 245 pages. Assume t
Neko [114]

Answer:

35.2% probability that the sample mean will be 246 pages or more

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 question, we have that:

\mu = 245 \sigma = 15, n = 33, s = \frac{15}{\sqrt{33}} = 2.61

What the probability that the sample mean will be 246 pages or more?

This is 1 subtracted by the pvalue of Z when X = 246. So

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

By the Central Limit Theorem

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

Z = \frac{246 - 245}{2.61}

Z = 0.38

Z = 0.38 has a pvalue of 0.6480.

1 - 0.6480 = 0.3520

35.2% probability that the sample mean will be 246 pages or more

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3 years ago
45 POINTS!! PLEASE HELP!! Im struggling on a math assignment and if I fail the class I can't graduate. I need someone to create
Andrews [41]

Use Excel graphing. Then make histogram (a graph that represents values with columns)

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