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ASHA 777 [7]
3 years ago
14

Order the following numbers from least to greatest. square root of 7, -2.3, square root of 3, 5.1, -1/3. Please help! The last o

ne is a fraction not an equation.
Mathematics
2 answers:
aalyn [17]3 years ago
8 0

First of all, negative numbers will surely come before positive ones. So, let's compare -2.3 and -1/3.

One is a number, one is a fraction. You can either turn the fraction to number, or the number to fraction. The first option is surely easier: we have -1/3 = -0.333...

So, -1/3 is closer to 0 than -2.3, so we have -2.3 < -\frac{1}{3}

As for the positive numbers, we have to order \sqrt{7},\ \sqrt{3},\ 5.1. When dealing with positive numbers, it is true that x < y \implies x^2 < y^2. So, we can square the numbers to get rid of the roots: we have

3 = \sqrt{3}^2 < 7 = \sqrt{7}^2 < 26.01 = 5.1^2.

So, the ordered list is the following:

-2.3,\ -\frac{1}{3}, \sqrt{3},\ \sqrt{7},\ 5.1

dolphi86 [110]3 years ago
3 0
-2.3, -1/3, square root of 3, square root of 7, 5.1

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A coffee machine dispenses normally distributed amounts of coffee with a mean of 12 ounces and a standard deviation of 0.2 ounce
NemiM [27]

Answer:

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 12 ounces and a standard deviation of 0.2 ounces.

This means that \mu = 12, \sigma = 0.2

Sample of 9:

This means that n = 9, s = \frac{0.2}{\sqrt{9}}

Find the probability that the mean of the sample will be less than 12.1 ounces.

This is the pvalue of Z when X = 12.1. So

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

By the Central Limit Theorem

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

Z = \frac{12.1 - 12}{\frac{0.2}{\sqrt{9}}}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

0.9332 = 93.32% probability that the mean of the sample will be less than 12.1 ounces.

6 0
3 years ago
Can anyone answer this question for me and also if you’re able to give me the explanation on how to solve it also. PLEASE.
photoshop1234 [79]

<u>Answer</u><u>:</u>

<u> </u><u>First</u><u> </u><u>option=$13950 is correct.</u>

<u>Why</u><u>?</u>

<u>Total</u><u> </u><u>other</u><u> </u><u>cost</u><u> </u><u>=</u><u>$</u><u>1</u><u>5</u><u>5</u><u>0</u><u>0</u>

<u>1</u><u>0</u><u>%</u><u> </u><u>saving</u><u> </u><u>on</u><u> </u><u>other</u><u> </u><u>cost</u>

=10% × $15500

=$1550

<u>So total cost target on other cost for next month</u>

=$15500-$1550

=$13950

8 0
3 years ago
What is the sum of 1/8+5/16+3/8
Murljashka [212]

Answer:

i think it's 13/16

Step-by-step explanation:

1/8 times 2 is 2/16 and 3/8 times 2 is 6/16 so add all up to get 13/16

4 0
3 years ago
Read 2 more answers
find the number of subsets of s = 1 2 3 . . . 10 that contain exactly 4 elements including 3 or 4 but not both.
Anna007 [38]

Answer:

112

Step-by-step explanation:

Let A be a subset of S that satisfies such condition.

If 3∈A, then the other three elements of A must be chosen from the set B={1,2,5,6,7,8,9,10} (because 3 cannot be chosen again and 4 can't be alongside 3). B has eight elements, then there are \binom{8}{3}=56 ways to select the remaining elements of A (the binomial coefficient counts this). The remaining elements determine A uniquely, then there are 56 subsets A.

If 4∉A, we have to choose the remaining elements of A from the set B={1,2,5,6,7,8,9,10}. B has eight elements, then there are \binom{8}{3}=56 ways to select the remaining elements of A. Thus, there are 56 choices for A.

By the sum rule, the total number of subsets is 56+56=112

4 0
4 years ago
What is the answer or question hurry it’s due tomorrow
Gala2k [10]
4,400 + 17,600 = 22,000.

4,400 / 22,000 = 0.2

0.2 = 20%

The answer is A.

Hope this helped☺☺
7 0
3 years ago
Read 2 more answers
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