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IRISSAK [1]
3 years ago
8

Please guys I need help I don’t know how to do this

Mathematics
1 answer:
liq [111]3 years ago
4 0

Answer:

Here are some points you can plot.

Step-by-step explanation:

f(x)=4^x

(-1,0.25) or (-1, 1/4)

(0,1)

(1,4)

(2,16)

(3,64)

(4,256)

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PLEASE HELP! I ACCIDENTALLY STARTED THIS QUIZ TOO EARLY!
telo118 [61]

Answer:

inside

√((5-(-5))^2+((-24)-(-8))^2)=√(10^2+16^2)=√356<25

4 0
3 years ago
Simplify the square root of 44
gavmur [86]

√44 = approximately 6.63

Hope this helps! Have a happy thanksgiving, here's a turkey!

4 0
3 years ago
Read 2 more answers
Suppose that daily calorie consumption for american men follows a normal distribution with a mean of 2760 calories and a standar
lianna [129]

Answer:

38.11% probability that the mean of her sample will be between 2700 and 2800 calories

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

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.

In this question, we have that:

\mu = 2760, \sigma = 500, n = 25, s = \frac{500}{\sqrt{25}} = 100

Find the probability that the mean of her sample will be between 2700 and 2800 calories

This is the pvalue of Z when X = 2800 subtracted by the pvalue of Z when X = 2700.

X = 2800

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

By the Central Limit Theorem

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

Z = \frac{2800 - 2760}{100}

Z = 0.4

Z = 0.4 has a pvalue of 0.6554

X = 2700

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

Z = \frac{2700 - 2760}{100}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

0.6554 - 0.2743 = 0.3811

38.11% probability that the mean of her sample will be between 2700 and 2800 calories

5 0
3 years ago
100 to anyone who can answer all of these !!!
siniylev [52]

Answer:

24yrds is (a) 24.12yrds is (b) 64yrds is (c) And that's all i can do, don't get mad at me please.

Step-by-step explanation:

8 0
4 years ago
The product of two and a number, divided by five
DENIUS [597]

<em>Question</em><em>:</em><em> </em><em>t</em><em>he product of two and a number, divided by five</em>

<em>Let</em><em> </em><em>the</em><em> </em><em>number</em><em> </em><em>be</em><em> </em><em>'a'</em><em>.</em>

<em>Answer</em><em>:</em><em> </em><em>2</em><em>a</em><em>/</em><em>5</em>

4 0
3 years ago
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