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schepotkina [342]
3 years ago
15

HELP PLEASE!!!!!!!!!!!!!!!!!!!!!!

Mathematics
1 answer:
enyata [817]3 years ago
7 0

Answer:

Step-by-step explanation:

-2\frac{1}{4}=\frac{-9}{4}\\\\-1\frac{1}{2}=\frac{-3}{2}\\\\

-2 1/4  ÷ -1 1/2 =

\frac{-9}{4}*\frac{-2}{3}=\frac{3}{2}*\frac{1}{1}\\\\=\frac{3}{2}\\\\=1\frac{1}{2}

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What is the image point of (-7,0) after a translation left 4 units and up 1 unit?<br><br>​
snow_tiger [21]

Answer:

(-11, 1)

Step-by-step explanation:

moving to the left by 4 means -7 - 4 = -11

up one unit changes the 0 to 1

5 0
4 years ago
Determine the degree of each monomial.
FromTheMoon [43]

Answer:

Step-by-step explanation:

4= 0 degree

2z= 1 degree

4r^2st^3= 6 degree

3xyz^2= 4 degree

5 0
3 years ago
60 POINTS Type the correct answer in each box. Use numerals instead of words. If necessary, use / for the fraction bar(s).
Gnom [1K]

Answer:

1. x= 5

2.x= -3

Step-by-step explanation:

8 0
3 years ago
Decreasing -5 times a number by 18 is equal to decreasing 9 times the number by 25
faltersainse [42]

Answer:

x = 1/2

Step-by-step explanation:

-5x -18 = 9x - 25

-9x +18 -9x +18.

-14x = -7

÷ -14. ÷ -14

x = 1/2

8 0
4 years ago
A simple random sample from a population with a normal distribution of 98 body temperatures has x =98.90 °F and s =0.68°F. Const
Ludmilka [50]

Answer:

0.609 \leq \sigma \leq 0.772  

And the best conclusion would be:

D. This conclusion is safe because 1.40 °F is outside the confidence interval.

Step-by-step explanation:

1) Data given and notation  

s=0.68 represent the sample standard deviation  

\bar x =98.90 represent the sample mean  

n=98 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^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}  

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

df=n-1=98-1=97  

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.  

The excel commands would be: "=CHISQ.INV(0.05,97)" "=CHISQ.INV(0.95,97)". so for this case the critical values are:  

\chi^2_{\alpha/2}=120.990  

\chi^2_{1- \alpha/2}=75.282  

And replacing into the formula for the interval we got:  

\frac{(97)(0.68)^2}{120.990} \leq \sigma \leq \frac{(97)(0.68)^2}{75.282}  

0.371 \leq \sigma^2 \leq 0.596  

Now we just take square root on both sides of the interval and we got:  

0.609 \leq \sigma \leq 0.772  

And the best conclusion would be:

D. This conclusion is safe because 1.40 °F is outside the confidence interval.

3 0
4 years ago
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