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2 years ago

Which is the best definition of a quadrilateral?

Mathematics

1 answer:

Alexxx [7]2 years ago

5 0

The answer is d .....

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Dmitry [639]

Y= x2+2 is the correct answer

7 0

2 years ago

We wish to give a 90% confidence interval for the mean value of a normally distributed random variable. We obtain a simple rando

coldgirl [10]

Answer: $(9.27025,\ 11.12975)$

Step-by-step explanation:

Given : Sample size : n= 9

Degree of freedom = df =n-1 =8

Sample mean : $\overline{x}=10.2$

sample standard deviation : $s= 1.5$

Significance level ; $\alpha= 1-0.90=0.10$

Since population standard deviation is not given , so we use t- test.

Using t-distribution table , we have

Critical value = $t_{\alpha/2, df}=t_{0.05 , 8}=1.8595$

Confidence interval for the population mean :

$\overline{x}\pm t_{\alpha/2, df}\dfrac{s}{\sqrt{n}}$

90% confidence interval for the mean value will be :

$10.2\pm (1.8595)\dfrac{1.5}{\sqrt{9}}$

$10.2\pm (1.8595)\dfrac{1.5}{3}$

$10.2\pm (1.8595)(0.5)$

$10.2\pm (0.92975)$

$(10.2-0.92975,\ 10.2+0.92975)$

$(9.27025,\ 11.12975)$

Hence, the 90% confidence interval for the mean value= $(9.27025,\ 11.12975)$

6 0

2 years ago

You decide to enroll in a plan that gives you a 10% discount if you make telephone calls 7pm – 6am. The per minute charge is $0.

yanalaym [24]

<span>If you used the phone 130 minutes from 6 am to 7 pm, that would cost $13.00. 400 minutes from 7 pm to 6 am at a 10% discount would cost you $36.00. Add totals to get $49.00. Tax at 6% is 2.94. Your total bill would be $51.94.

Total bill = (0.10+0.06) x 130 + (0.10+0.06) x 400 x 0.90
= $ 51.94</span>

8 0

2 years ago

Read 2 more answers

D={x E Z;-4 < x < 4}

tino4ka555 [31]

Answer:

D={-3,-2,-1,0,1,2,3}

7 0

7 months ago

The scatter plot below represents the amount of dog food a brand recommends

Dennis_Churaev [7]

Answer:

positive linear association

Step-by-step explanation:

the slope is positive so the linear association is also positive and linear mean generaly in a line not on a curve like a nonlinear assciation.

6 0

2 years ago