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mezya [45]
3 years ago
5

Madison has test scores of 93, 82, 86, and 75. What is the mean? answer as fast a possible

Mathematics
1 answer:
rusak2 [61]3 years ago
6 0

Answer:

Mean is 84

Step-by-step explanation:

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Katie invests $5,000 in an account earning 4% interest, compounded annually for 5 years. Two years after Katie’s initial investm
Westkost [7]
The first one is $6, 083.26
the second account earns 11,248.64

Compare: The first account made ~6,083 dollars
The second account made ~11,249. The second account has more in 3 years than the first one did in 5 years.
3 0
3 years ago
If the mean, median, and mode are all the same for 4, 9, 7, 8, and x, what is the value of x?​
seropon [69]
<h3>Answer:  x = 7</h3>

===========================================================

Explanation:

Since we have an odd number of values, this tells us that the median is part of the data set. It's the middle most item after we sort the values.

Recall that the mode is the most frequent item. Since the mode and median are the same, this must mean x can only be equal to one of the following

4, 9, 7 or 8

We can only pick one of those values.

----------------------

If x = 4, then the set {4,9,7,8,x} updates to {4,9,7,8,4} which sorts to {4,4,7,8,9}

The middle most item is in slot 3, which would be 7. So the median is 7.

The median 7 does not match with the mode 4.

So we cross x = 4 off the list.

-----------------------

If x = 7, then we have {4,7,7,8,9}

The mode is 7 and the median is 7. So far, so good.

Now let's compute the mean. Add up the values and divide by 5 because there are 5 items.

(4+7+7+8+9)/5 = 35/5 = 7

We've shown that the set {4,7,7,8,9} has mean 7.

Overall, that set has the same mean, median and mode. So the answer is confirmed.

I'll let you check the cases when x = 8 and x = 9.

8 0
3 years ago
When referring to the normal probability distribution, there is not just one; there is a "family" of normal probability distribu
pishuonlain [190]
<span>A probability distribution is formed from all possible outcomes of a random process (for a random variable X) and the probability associated with each outcome. Probability distributions may either be discrete (distinct/separate outcomes, such as number of children) or continuous (a continuum of outcomes, such as height). A probability density function is defined such that the likelihood of a value of X between a and b equals the integral (area under the curve) between a and b. This probability is always positive. Further, we know that the area under the curve from negative infinity to positive infinity is one. The normal probability distribution, one of the fundamental continuous distributions of statistics, is actually a family of distributions (an infinite number of distributions with differing means (ÎĽ) and standard deviations (Ď). Because the normal distribution is a continuous distribution, we can not calculate exact probability for an outcome, but instead we calculate a probability for a range of outcomes (for example the probability that a random variable X is greater than 10). The normal distribution is symmetric and centered on the mean (same as the median and mode). While the x-axis ranges from negative infinity to positive infinity, nearly all of the X values fall within +/- three standard deviations of the mean (99.7% of values), while ~68% are within +/-1 standard deviation and ~95% are within +/- two standard deviations. This is often called the three sigma rule or the 68-95-99.7 rule. The normal density function is shown below (this formula won’t be on the diagnostic!)</span>
8 0
3 years ago
Complete the pattern using powers of 5
krok68 [10]
1/5^2 = 1/25
1/5^1 = 1/5
1/5^0 = 1
1/5^-1 = 5
1/5^-2 = 25
8 0
3 years ago
4. To draw graph of 4x+ 5y = 19, Find y<br>when a=1<br>(A) 4<br>(B 3<br>62<br>D2-3​
babymother [125]
There’s no a in the the equation
6 0
3 years ago
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