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IrinaK [193]
3 years ago
13

I'm so lost. I have no clue.

Mathematics
2 answers:
tiny-mole [99]3 years ago
7 0
I supppose the answer is F(X)=X²+4, you can use the vertex to confirm.
ziro4ka [17]3 years ago
6 0

Answer: F(x) = x2 + 3 ;)

Step-by-step explanation:

You might be interested in
Dora cut a piece of string that is 33 centimeters long. What is the length of the peice of string in meters?
r-ruslan [8.4K]

Answer: 0.33 meters


Step-by-step explanation: in order to get from centimeters to meters you have to divide the length value by 100.


7 0
3 years ago
What is the mode of this data set 55 78 43 39 78 61 75 50 43 78
Rom4ik [11]

Mode means MOST.  Which number is displayed the most?

39, 43, 43, 50, 55, 61, 75, <u>78, 78, 78</u>

Answer: 78

Note: I placed the data set into numerical order because it will help you to easily find the mode and also the median (middle number).

5 0
3 years ago
An economist uses the price of a gallon of milk as a measure of inflation. She finds that the average price is $3.82 per gallon
salantis [7]

Answer:

(a) The standard error of the mean in this experiment is $0.052.

(b) The probability that the sample mean is between $3.78 and $3.86 is 0.5587.

(c) The probability that the difference between the sample mean and the population mean is less than $0.01 is 0.5754.

(d) The likelihood that the sample mean is greater than $3.92 is 0.9726.

Step-by-step explanation:

According to the Central Limit Theorem if we have an unknown population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (<em>n</em> > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample mean is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample mean is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

n=40\\\mu=\$3.82\\\sigma=\$0.33

As <em>n</em> = 40 > 30, the distribution of sample mean is \bar X\sim N(3.82,\ 0.052^{2}).

(a)

The standard error is the standard deviation of the sampling distribution of sample mean.

Compute the standard deviation of the sampling distribution of sample mean as follows:

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

    =\frac{0.33}{\sqrt{40}}\\\\=0.052178\\\\\approx 0.052

Thus, the standard error of the mean in this experiment is $0.052.

(b)

Compute the probability that the sample mean is between $3.78 and $3.86 as follows:

P(3.78

                               =P(-0.77

Thus, the probability that the sample mean is between $3.78 and $3.86 is 0.5587.

(c)

If the difference between the sample mean and the population mean is less than $0.01 then:

\bar X-\mu_{\bar x}

Compute the value of P(\bar X as follows:

P(\bar X

                    =P(Z

Thus, the probability that the difference between the sample mean and the population mean is less than $0.01 is 0.5754.

(d)

Compute the probability that the sample mean is greater than $3.92 as follows:

P(\bar X>3.92)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}}>\frac{3.92-3.82}{0.052})

                    =P(Z

Thus, the likelihood that the sample mean is greater than $3.92 is 0.9726.

3 0
3 years ago
Joey father stops at the gas station to buy gas the car has a 16 gallon tank and the. Fuel gauge says there is 3/8 of a tank of
Alex777 [14]

Answer:

\frac{3}{8} *16=6 gallons

Step-by-step explanation:


3 0
3 years ago
​temperature rose 7° between 9 AM and 2 PM yesterday the temperature at 2 PM was 75 Fahrenheit Wally use the following question
Verdich [7]
The answer is 68 because if it rose between the times it would mean you minus 7 from 75
3 0
3 years ago
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