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2 years ago

Which measure of center best represents this set of data?

Mathematics

2 answers:

Hitman42 [59]2 years ago

6 0

Answer:

Mean: 14.67

Mode: 15

Median: 15

Symmetric: Idk

Aliun [14]2 years ago

6 0

Answer:

Median P.S. The median is 15

Step-by-step explanation:

It is a median because you cross out the highest and lowest numbers out at a time.

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A tortoise is walking in the desert. It walks for 15.36

timama [110]

2.56 minutes 6 meters a minute÷ 15.36 meters =?

4 0

3 years ago

Can you plz help me with this, because I don’t know how to do this and can u plz explain how to do it

Alecsey [184]

Answer:

Step-by-step explanation:

You can start this in may ways but let's start by isolating one of the parenthesis:

x (x² - 5) = - (x - 3)

x³ - 5x = -x + 3 (here I multiplied x for what's inside the parenthesis and the "minus" signal by the other parenthesis which was (x - 3))

x³ - 5x + x = 3

x³ -4x = 3

x³ -4x -3 = 0 (now this right here is a "depressed cubic equation" and it's one of the toughest sit of all time, so good luck with that, you might wanna take a look at this:

ytb/watch?v=rNDy2ZFvG1E

or maybe I'm doing something wrong and it's simpler than that, but whaterver...)

4 0

2 years ago

The equation y = 16 - 2x represents the amount y (in ounces) of trail mix remaining after you eat x servings.

BlackZzzverrR [31]

Answer:

a) x is the independent and y in the dependent

b) y=4

Step-by-step explanation:

b.) How much of the trail mix remains after you eat 6 servings?

Substitute 6 into the x variable.

y=16-2(6)

y=4

5 0

2 years ago

A worn, poorly set-up machine is observed to produce components whose length X follows a normal distribution with mean 14 centim

Akimi4 [234]

Answer:

74.86% probability that a component is at least 12 centimeters long.

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:

$\mu = 14$