Ask question

Ask question

All categories

3 years ago

5

The five starters on Raylene's basketball team lined up in order of height from shortest to tallest? Which statistic must descri

be the height of the player standing in the middle? A. mean B. median C. mode D. maximum

2 answers:

UkoKoshka [18]3 years ago

4 0

It should be median

melisa1 [442]3 years ago

3 0

It would be B.median

You might be interested in

Which answer shows this percentage as a fraction in lowest terms?

GrogVix [38]

The answer is A....................

7 0

3 years ago

Read 2 more answers

By using the elimination or substitution method. Find the point of intersection for the following pairs of straight lines. 3y +

BaLLatris [955]

X=3, and Y=2
(3,2)!!!!!!

8 0

3 years ago

Math Can you Help me out? Giving Brainliest, can you also explain your answer

AleksAgata [21]

Answer:

Only 5

Step-by-step explanation:

You just place each in. The one that fits in the equation is the right one.

11-5=6 and 6 is less than 7.

11-3=8 and 8 is greater so it doesn't work.

8 0

3 years ago

Read 2 more answers

Which of the following could not be the net of a cube?

Travka [436]

Answer:

2,3,5,10,11 and 16 cannot make a cube and they are non-nets

4 0

3 years ago

Read 2 more answers

The distribution of resistance for resistors of a certain type is known to be normal, with 10% of all resistors having a resista

baherus [9]

Answer:

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

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.

10% of all resistors having a resistance exceeding 10.634 ohms

This means that when X = 10.634, Z has a pvalue of 1-0.1 = 0.9. So when X = 10.634, Z = 1.28.

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

$1.28 = \frac{10.634 - \mu}{\sigma}$

$10.634 - \mu = 1.28\sigma$

$\mu = 10.634 - 1.28\sigma$

5% having a resistance smaller than 9.7565 ohms.

This means that when X = 9.7565, Z has a pvalue of 0.05. So when X = 9.7565, Z = -1.96.

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

$-1.96 = \frac{9.7565 - \mu}{\sigma}$

$9.7565 - \mu = -1.96\sigma$

$\mu = 9.7565 + 1.96\sigma$

We also have that:

$\mu = 10.634 - 1.28\sigma$

So

$10.634 - 1.28\sigma = 9.7565 + 1.96\sigma$

$1.96\sigma + 1.28\sigma = 10.645 - 9.7565$

$3.24\sigma = 0.8885$

$\sigma = \frac{0.8885}{3.24}$

$\sigma = 0.2742$

The mean is

$\mu = 10.634 - 1.28\sigma = 10 - 1.28*0.2742 = 9.65$

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

8 0

4 years ago