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den301095 [7]
3 years ago
10

Drag each expression to show whether it is equivalent to −1.3x−(−8.9x), −1.3x+(−8.9x), or neither.

Mathematics
1 answer:
Nadusha1986 [10]3 years ago
3 0

Answer:

Neither

Step-by-step explanation:

−1.3x−(−8.9x) = −1.3x + 8.9x = 7.6x

−1.3x+(−8.9x) = −1.3x −8.9x = -10.2x

Answer: Neither

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vivado [14]

Answer:

z^{\frac{1}{3}}

Step-by-step explanation:

\frac{z^{-\frac{1}{3} }}{z^{-\frac{5}{6} }} \\\\=z^{-\frac{1}{3} }*z^{\frac{5}{6} }\\\\=z^{-1/3+5/6}\\\\=z^{-2/6+5/6}\\\\=z^{3/6}\\\\=z^{1/3}\\\\=z^{\frac{1}{3} }

5 0
3 years ago
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The mean number of hours per day spent watching television, according to a national survey, is 3.5 hours, with a standard deviat
aleksley [76]

Answer:

4.5 hour and 2 hour

Step-by-step explanation:

Given: The mean number of hours per day spent watching television, according to a national survey, is 3.5 hours, with a standard deviation of two hours.

To Find: If each time was increased by one hour, what would be the new mean and standard deviation.

Solution:

let the total numbers entries of hours in survey be   =   \text{N}

each entry in survey be  =  \text{x}_{i}

mean of survey is     =     \mu  =3.5 \text{hours}

standard deviation is  =   \sigma = 2 \text{hours}

if each entry in survey is increased by one hour then,

each new entry in survey  is =  \text{x}_{i}+1

the new mean is\mu_{new}  = \frac{\text{sum of all hours}}{total number of entries}

                                                \frac{\text{x}_{1} +1+\text{x}_{2}+1 +....+\text{x}_{N}+1 }{N}

                                                \frac{(\text{x}_{1} +\text{x}_{2} +....+\text{x}_{N})+\text{N}\times1 }{N}

                                                \frac{(\text{x}_{1} +\text{x}_{2} +....+\text{x}_{N})}{N}+\frac{\text{N}\times1 }{N}

                                             \mu_{new} = \mu + 1=4.5 \text{hours}

now,

standard deviation is      \sigma_{new}= \sqrt{\sum_{1}^{N}\frac{(\text{x}_{inew}-\mu_{new})^{2}}{N}}

                                   \text{x}_{inew}= \text{x}_{i}+1

                                   \mu_{new}=\mu+1        

putting values,

                                                \sqrt{\sum_{1}^{N}\frac{(\text{x}_{i}+1-\mu-1)^{2}}{N}}

                                                \sqrt{\sum_{1}^{N}\frac{(\text{x}_{i}-\mu)^{2}}{N}}= \sigma

                                 \sigma_{new}        =2

new mean and standard deviation are 4.5 and 2 \text{hours}

                                               

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The anwer for that would be a; angle 1 would be congurent to angle 4.
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Answer:

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