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skad [1K]
3 years ago
11

So basically you have to: highlight all of the words that can be used to describe the following expression in another color. Sor

ry if the pic is a little blurry but I really need help with this!!! I highlighted some of them already. Plssss

Mathematics
1 answer:
igor_vitrenko [27]3 years ago
3 0

Answer:

7m: multiplied by, times

x^2: squared, to the power of

2 - 4m: less than, difference

3r/b: quotient

4k + 7: increased by, more than, altogether

3(2 + y): multiplied by, per, product

good luck!!

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A person gets on and off a bathroom scale four times. The four readings (in pounds) are 148, 151, 150, and 152. Each time after
Ganezh [65]

Answer:

See explanation below

Step-by-step explanation:

Since each time after the person gets off the scale, the reading is 2 lb the person's weight must be near the mean of

148-2, 151-2, 150-2, 152-2; that is to say, near the mean of 146, 149, 148, 150 = (146+149+148+150)/4 = 148.25

We could estimate the uncertainty as <em>the standard error SE </em>

\bf SE=\frac{s}{\sqrt{n}}  

where  

<em>s = standard deviation of the sample </em>

<em>n = 4 sample size. </em>

Computing s:

\bf s=\sqrt{\frac{(146-148.25)^2+(149-148.25)^2+(148-148.25)^2+(150-148.25)^2}{4}}=1.479

So, the uncertainty is 1.479/2 = 0.736

<em>It is not possible to estimate the bias, since it is the difference between the true weight and the mean, but we do not know the true weight. </em>

5 0
2 years ago
HELP asap<br> the pic saids it all
alisha [4.7K]
Second one tell me if im wrong
4 0
2 years ago
Read 2 more answers
A manufacturer knows that their items have a normally distributed length, with a mean of 15.4 inches, and standard deviation of
Masteriza [31]

Answer:

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

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 establishes 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 15.4 inches, and standard deviation of 3.5 inches.

This means that \mu = 15.4, \sigma = 3.5

16 items are chosen at random

This means that n = 16, s = \frac{3.5}{\sqrt{16}} = 0.875

What is the probability that their mean length is less than 16.8 inches?

This is the p-value of Z when X = 16.8. So

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

By the Central Limit Theorem

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

Z = \frac{16.8 - 15.4}{0.875}

Z = 1.6

Z = 1.6 has a p-value of 0.9452.

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

5 0
3 years ago
What is the effect on the graph of f(x)=1/x when it is transformed to g(x)=1/x+9?
Allushta [10]

Answer: A is the correct answer

4 0
3 years ago
Which is NOT a major expense category?<br> housing<br> transportation<br> electricity<br> food
ruslelena [56]
That would be food! Hope this hlep!
5 0
3 years ago
Read 2 more answers
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