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grigory [225]
3 years ago
8

If Don weighs 250 pounds what would be his approximate weight in Kilograms​

Mathematics
2 answers:
Nadusha1986 [10]3 years ago
8 0
113.398 or 113.4 is you’re rounding up
stepan [7]3 years ago
4 0

Answer:

113.398

Step-by-step explanation:

I got this answer by dividing the mass value by 2.205

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PLEASE HELP FAST 20 POINTS! Housing prices are often reported using a median. Why is median used in this case? Would arithmetic
drek231 [11]

Step-by-step explanation:

The red line in the graph above measures the median home price, and this is often a better "average" for us to be used with home prices and home values. Unfortunately, it is not as easy to calculate and it does not work well with tiny data sets, so we often only see it used with very large data sets (like whole Cities, States, etc.) produced by the large real estate aggregators. Additionally, not many real estate agents know how to generate them for neighborhoods or zip codes (but we can at the Tallahassee Real Estate Blog :)).

8 0
3 years ago
What is the greatest common factor of 30,48,and 60
VARVARA [1.3K]
The GCF of 30, 48, and 60 is 6.
4 0
3 years ago
The Wall Street Journal reported that the age at first startup for 90% of entrepreneurs was 29 years of age or less and the age
Hitman42 [59]

Answer:

(a) \hat p\sim N(0.90,\ 0.0212^{2}})

(b) \hat q\sim N(0.10,\ 0.0212^{2}})

(c) Not different.

Step-by-step explanation:

The information provided is:

  • The age at first startup for 90% of entrepreneurs was 29 years of age or less.
  • The age at first startup for 10% of entrepreneurs was 30 years of age or more.

According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

 \mu_{\hat p}=p

The standard deviation of this sampling distribution of sample proportion is:

 \sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}

(a)

Let <em>p</em> represent the proportion of entrepreneurs whose first startup was at 29 years of age or less.

A sample of <em>n</em> = 200 entrepreneurs is selected.

As <em>n</em> = 200 > 30, according to the Central limit theorem the sampling distribution of sample proportion can be approximated by the normal distribution.

Compute the mean and standard deviation as follows:

\mu_{\hat p}=p=0.90\\\\\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.90(1-0.90)}{200}}=0.0212

So, \hat p\sim N(0.90,\ 0.0212^{2}}).

(b)

Let <em>q</em> represent the proportion of entrepreneurs whose first startup was at 30 years of age or more.

A sample of <em>n</em> = 200 entrepreneurs is selected.

As <em>n</em> = 200 > 30, according to the Central limit theorem the sampling distribution of sample proportion can be approximated by the normal distribution.

Compute the mean and standard deviation as follows:

\mu_{\hat q}=q=0.10\\\\\sigma_{\hat q}=\sqrt{\frac{q(1-q)}{n}}=\sqrt{\frac{0.10(1-0.10)}{200}}=0.0212

So, \hat q\sim N(0.10,\ 0.0212^{2}}).

(c)

The standard deviation of sample proportions is also known as the standard error.

The standard deviation of <em>p</em> is, 0.0212.

The standard deviation of <em>q</em> is, 0.0212.

Thus, the standard errors of the sampling distributions in parts (a) and (b) are same.

5 0
3 years ago
Solve for x.<br> 2x2 + x = 10
Stells [14]

Answer:

x = 2, x = -5/2

Step-by-step explanation:

2x² + x - 10 = 0

(2x + 5)(x - 2) = 0

2x + 5 = 0

2x = -5

x = -5/2

x - 2 = 0

x = 2

8 0
3 years ago
The table below shows a correct representation that 16 pounds (lb) of sugar cost 4$:
Fynjy0 [20]
This is true. If you count the number of lbs, you get 16 and if you count the number of dollars in the same length, you get $4.
8 0
3 years ago
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