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kolbaska11 [484]
3 years ago
10

50% shaded? Grid 67% 33% 32%

Mathematics
1 answer:
mrs_skeptik [129]3 years ago
4 0

Answer: I don't understand the question

Step-by-step explanation:

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-2x-3=-x+6 plssssssss I can’t find a solution
Paladinen [302]
X=-9
Give specific name to solve it
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The mean housing price for an area is $135,000 with a standard of $45,000 but is not normally distributed. According to the Cent
kramer

Answer:

A sample size greater than 30

Step-by-step explanation: The central limit theorem proffers the conditions necessary to obtain a normal or bell shaped distribution. It defines normal distribution in terms of mean, standard deviation and sample size. The sample size is a very important factor in determining the shape of a distribution.

Thus with a population having mean and standard deviation stated, in other to make use of or assume normal distribution, the sample size must be large. According tho the central limit theorem, a size of greater than 30 is deemed to be large enough. As the Same size increases, the sample mean converges to the value of the population mean.

7 0
3 years ago
What is the range of this function?<br> 5<br> -4<br> -3<br> -2<br> -1 0
Paha777 [63]

Answer:

8

Step-by-step explanation:

For range you will take the largest and the smallest number and subtract it.

10-2=8

7 0
4 years ago
Katie make $63.70 babysitting for 6.5 hours how much money does she make per hour? how much money would Katie earn in 5 hours?​
Lubov Fominskaja [6]

Answer:She makes 9.8 an hour and 58.8 in 5 hours.

Step-by-step : You divide 63.70 by 6.5 which comes out to 9.8 which is your hourly wage then do 9.8 times 5 to get 58.8

6 0
3 years ago
The lengths of text messages are normally distributed with a population standard deviation of 4 characters and an unknown popula
umka21 [38]

Answer:

The answer is "(25.32, 30.68)"

Step-by-step explanation:

Given:

\bar x = 28\\\\ \sigma = 4\\\\n =26\\\\

When 98\% confidence level so, the z:

\alpha = 1 - 98\% = 1 - 0.98 = 0.2\\\\\frac{\alpha}{2} =\frac{0.02}{2} = 0.01\\\\Z_{\frac{\alpha}{2}} = Z_{0.01} = 1.645\ \ \  ( Using \ z \ table )\\\\

E = Z_{\frac{\alpha}{2} \times ( \frac{\sigma}{\sqrt{n}})  

= 1.645 \times (\frac{4}{\sqrt{26}})\\\\=2.68

When  98% confidence interval estimate of the population mean  is,

\bar x - E < \mu < \bar x + E\\\\28 - 2.68 <  \mu < 28 + 2.68\\\\25.32 <  \mu < 30.68\\\\(25.32,  30.68)\\\\

7 0
3 years ago
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