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ValentinkaMS [17]
3 years ago
8

Which statement is true about the data set? [3,4,5,6,7,7,10)

Mathematics
2 answers:
Akimi4 [234]3 years ago
4 0

Answer: C mean = median

Step-by-step explanation:

Ludmilka [50]3 years ago
3 0

Answer:

C. mean = median

Step-by-step explanation:

<em>To start off, you need to find the median and mean.</em>

<em>The median is usually the number that you find halfway. To find the median, make sure that the data is from least to greatest (which it already is).</em>

<em>3, 4, 5, 6, 7, 7, 10</em>

<em>Start by crossing one off from both sides until you get to the middle number.</em>

<em>4, 5, 6, 7, 7  </em><em>When you take out 3 and 10</em>

<em>5, 6, 7 </em><em> When you take out 4 and 7</em>

<em>6  </em><em>When you take out 5 and 7</em>

<u>6 would be your median</u>

<u />

<em>The mean is the average of the data. To get the mean, you must add up all the numbers and then divide by the amount of numbers there are (divide by the count).</em>

<em>3 + 4 + 5 + 6 + 7 + 7 + 10</em>

<em>7 + 11 + 14 + 10</em>

<em>18 + 24</em>

<em>42</em>

<em>Then divide by the count (the total amount of numbers)</em>

<em>*7 would be the count*</em>

\frac{42}{7}  <em>Now divide 42 by 7</em>

<u>The mean is 6</u>

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2 years ago
Birth weights at a local hospital have a Normal distribution with a mean of 110 oz and a standard deviation of 15 oz. The propor
OLga [1]

Answer:

The proportion of infants with birth weights between 125 oz and 140 oz is 0.1359 = 13.59%.

Step-by-step explanation:

When the distribution is normal, we use 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 question, we have that:

\mu = 110, \sigma = 0.15

The proportion of infants with birth weights between 125 oz and 140 oz is

This is the pvalue of Z when X = 140 subtracted by the pvalue of Z when X = 125. So

X = 140

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

Z = \frac{140 - 110}{15}

Z = 2

Z = 2 has a pvalue of 0.9772

X = 125

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

Z = \frac{125 - 110}{15}

Z = 1

Z = 1 has a pvalue of 0.8413

0.9772 - 0.8413 = 0.1359

The proportion of infants with birth weights between 125 oz and 140 oz is 0.1359 = 13.59%.

4 0
3 years ago
I’m confused on this one
Natali [406]
The awnser is 864 just multiply them together
7 0
3 years ago
Read 2 more answers
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valkas [14]
Hope this helps lol :)

7 0
1 year ago
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