What is the temperature change from 44 degrees Fahrenheit to -56 degrees Fahrenheit?

Scientific notation The table shows the amount of money raised by each region the four regions used a total of $ (5.38×10^4) How

Serggg [28]

9514 1404 393

Answer:

$8.65×10^3

Step-by-step explanation:

The amount the West raised is the difference between the total and the sum of the other amounts raised. It is convenient to use a multiplier of 10^4 for each of the numbers, so the number for South can be rewritten as 0.675×10^4.

West = 5.38×10^4 -1.46×10^4 -2.38×10^4 -0.675×10^4

= (5.38 -1.46 -2.38 -0.675)×10^4

= 0.865×10^4 = 8.65×10^3

West raised $8.65×10^3.

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Your calculator can figure this for you. You can set the final display to scientific notation format, if you need to.

3 0

2 years ago

So what’s the easiest way to get the answer? 80 = 720 divided by?

kolezko [41]

Answer:

57,600

Step-by-step explanation:

720 * 80 = 57,600

8 0

2 years ago

Read 2 more answers

A farmer has a square plot of land he needs defense he walked to the diagonal of the plot of land and found it to be 80 yards ho

andre [41]

Answer: i think the answer is 320

Step-by-step explanation:

i say 320 because a square has 4 sides and there is 80 yards so all i did is multiply 80 x 4 = 320

7 0

2 years ago

Read 2 more answers

I really need help on this question. I need to write an equation and I am very confused

ladessa [460]

Can't read it it's blurry. Sorry.

3 0

3 years ago

The weight of laboratory grasshoppers follows a Normal distribution, with a mean of 90 grams and a standard deviation of 2 grams

JulsSmile [24]

Answer:

95.44% of the grasshoppers weigh between 86 grams and 94 grams.

Step-by-step explanation:

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.

Mean of 90 grams and a standard deviation of 2 grams.

This means that $\mu = 90, \sigma = 2$