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lana [24]
3 years ago
10

Soup is on sale at six cans for $3.31. The cost of an individual can of soup is $0.63. How

Mathematics
1 answer:
seropon [69]3 years ago
5 0

Answer:

0.47

Step-by-step explanation:

0.63×6=3.78

3.78-3.31=0.47

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-15 = x/-0.5<br> I really am just bad at math TOT
solniwko [45]

Answer:

x = 7.5

Step-by-step explanation:

Given

- 15 = \frac{x}{-0.5} ( multiply both sides by - 0.5 to clear the fraction )

- 15 × - 0.5 = x

7.5 = x

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Given g(x)=-3x-3g(x)=−3x−3, solve for xx when g(x)=0g(x)=0.
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x = - 1

we require to solve - 3x - 3 = 0

add 3 to both sides

- 3x = 3

divide both sides by - 3

x = \frac{3}{-3} = - 1


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Alternate exterior angles are congruent which angle forms a pair of alternate exterior angles with angle 3
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Angle 6 forms a pair of alternative exterior angles with angle 3.

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A random sample of 20 students yielded a mean of ¯x = 72 and a variance of s2 = 16 for scores on a college placement test in mat
Helen [10]

Answer:

The 98% confidence interval for the variance in the pounds of impurities would be 8.400 \leq \sigma^2 \leq 39.827.

Step-by-step explanation:

1) Data given and notation

s^2 =16 represent the sample variance

s=4 represent the sample standard deviation

\bar x represent the sample mean

n=20 the sample size

Confidence=98% or 0.98

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}}

On this case the sample variance is given and for the sample deviation is just the square root of the sample variance.

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

df=n-1=20-1=19

Since the Confidence is 0.98 or 98%, the value of \alpha=0.02 and \alpha/2 =0.01, and we can use excel, a calculator or a table to find the critical values.  

The excel commands would be: "=CHISQ.INV(0.01,19)" "=CHISQ.INV(0.99,19)". so for this case the critical values are:

\chi^2_{\alpha/2}=36.191

\chi^2_{1- \alpha/2}=7.633

And replacing into the formula for the interval we got:

\frac{(19)(16)}{36.191} \leq \sigma^2 \leq \frac{(19)(16)}{7.633}

8.400 \leq \sigma^2 \leq 39.827

So the 98% confidence interval for the variance in the pounds of impurities would be 8.400 \leq \sigma^2 \leq 39.827.

7 0
4 years ago
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