What percent of 250 is 75?

The graph of y=x^2-8x+6 has a minimum point. write down the coordinates of this point

vodka [1.7K]

Answer:

this formula can't not calculate

8 0

2 years ago

How many times greater is the population of china than the population of france? write your answer in standard notation

bezimeni [28]

<em>In Scientific Notation:</em>
China's current population is 1,355,692,544 while France only has 66,259,012. China has 1.29x10⁹ more people than the latter has. China is 0.20x10⁻² times greater in terms of population than France.

<em>In Mathematical sentence:</em>
China has over 1,289,433,532 people than France.
It is 20.46050044 times greater in population than France.

3 0

3 years ago

Read 2 more answers

A television has a length of 56

musickatia [10]

Answer: 65 inches

Step-by-step explanation:

Use Pythagoras equation: c²=a²+b²

c²=a²+b²

c²=3136 +1089

c=√4225

c=65 inches

5 0

3 years ago

A random sample of 9 wheels of cheese yielded the following weights in pounds has a sample mean of 20.90 and a sample variance o

Ronch [10]

Answer:

$2.002 \leq \sigma^2 \leq 11.365$

Step-by-step explanation:

1) Data given and notation

s represent the sample standard deviation

$s^2$ represent the sample variance

n=9 the sample size

Confidence=90% or 0.90

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population mean or variance lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates .

2) Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

$\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}$

On this case we need to find the sample standard deviation with the following formula:

$s=sqrt{\frac{\sum_{i=1}^9 (x_i -\bar x)^2}{n-1}}
The sample variance given was [tex]s^2=3.45$

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

$df=n-1=9-1=8$

Since the Confidence is 0.90 or 90%, the value of $\alpha=0.1$ and $\alpha/2 =0.05$ , and we can use excel, a calculator or a table to find the critical values.