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3 years ago

A spinner is divided into eight equal-sized sections, numbered from 1 to 8, inclusive.

2 answers:

7 0

A.
The spinner can land on 1, 2, 3, 4, 5, 6, 7, or 8, so the sample space is {1, 2, 3, 4, 5, 6, 7, 8}.
Choice A applies.

B.
1, 2, 3 are part of the sample space, so choice B applies.

C.
9 is not in the sample space, so choice C does not apply.

D.
4 is in set A. 4 is not less than 4, so choice D does not apply.

E.
The set of spinning an odd number is {1, 3, 5, 7}.
Removing these elements from the original sample space leaves the complement (2, 4, 6, 8}. Choice E applies.

Answer: A, B, E

irina [24]3 years ago

3 0

Answer:

A, B, & E

Step-by-step explanation:

edg2020

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4 years ago

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Nadusha1986 [10]

Answer:

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Step-by-step explanation:

Clock 1 loses 3 minutes every 2 hours. Now, 2 hours = 120 minutes.

This means, it has speed of 120 - 3 = 117 minutes for every 2 hours.

Thus, in 1 hours, it's speed = 117/2 = 58.5 min/hr

Clock 2 gains 3 minutes every 4 hours

Which means in an hour, it gains ; 4/3 minutes

Thus, it's speed an hour is; 60 + 4/3 = 61.333 min/hr

Now, When he returns home in less than two weeks, the clocks show the same time.

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3 years ago

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Neporo4naja [7]

Answer:

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Step-by-step explanation:

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3 years ago

Read 2 more answers

An article suggests that substrate concentration (mg/cm3) of influent to a reactor is normally distributed with μ = 0.50 and σ =

Delvig [45]

Answer:

0.1056 = 10.56% probability that the concentration exceeds 0.60

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.

In this problem, we have that:

$\mu = 0.5, \sigma = 0.08$