Which of the following is an example of a rational number?

jonny [76]

I think the answer is c because there is no pattern and linear has to have a pattern so nonlinear doesn't have a pattern. Thats why the answer is c.

7 0

3 years ago

What is the lower quartile of the data? 16, 18, 59, 75, 30, 34, 25, 49, 27, 16, 21, 58, 71, 19, 50

svetlana [45]

Answer:

19.

Step-by-step explanation:

First arrange in ascending order:

16, 16, 18, 19, 21, 25, 27, 30, 34, 49, 50, 58, 59, 71, 75.

There are a total of 15 numbers, so the median is the 8th number = 30.

The lower quartile is halfway alone the first 7 numbers which is the 4th number and it is 19.

The median which is the middle number

4 0

3 years ago

The cube root is the same as______

Ksju [112]

Answer:

the third root

Step-by-step explanation:

4 0

2 years ago

The Cowboys High School Band Boosters are selling candy bars and chips at the basketball tournament to raise money for their ban

masya89 [10]

Answer:

They have 425 candy bars ready to sell.

Step-by-step explanation:

Let,

x be the number of candy bars ready to sell

y be the number of chips ready to sell

According to given statement;

x+y=575 Eqn 1

x+0.5y= 500 Eqn 2

Subtracting Eqn 2 from Eqn 1

(x+y)-(x+0.5y)=575-500

x+y-x-0.5y=75

0.5y = 75

Dividing both sides by 0.5

$\frac{0.5y}{0.5}=\frac{75}{0.5}\\y=150$

Putting y=150 in Eqn 1

x+150 = 575

x = 575-150

x = 425

Hence,

They have 425 candy bars ready to sell.

7 0

3 years ago

Parts being manufactured at a plant are supposed to weigh 65 grams. Suppose the distribution of weights has a Normal distributio

andrew-mc [135]

Answer:

0.64%.

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 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.

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 $s = \frac{\sigma}{\sqrt{n}}$ .