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3 years ago

The mass of an object is measured to be 5.55g. The actual weight of the object is 6.00g. What is the percent error?

Mathematics

1 answer:

Bas_tet [7]3 years ago

3 0

Answer:

. The actual mass of the object was 9.98 X 10-3 g.

Step-by-step explanation:

yeah

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Figure J is similar to Figure M.

marusya05 [52]

Answer:

what are the equations?

Step-by-step explanation:

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3 years ago

How do I work it out step by step y^2+5y+6

enyata [817]

Answer:

7y+6

Step-by-step explanation

You have to do 2 times y first. That is 2y. Then you have to add 2y plus 5y, which is 7y. 7y plus 6 equals 7y+6.

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3 years ago

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Ryan has nine 14 ounce bags of popcorn to repackage and sell at the school fair. a small bag holds 3 ounces. how many small bags

Mice21 [21]

14 divided by 3 you would get 4 2/3 but since all the bags have to have the same amount it should be 4

Hope this helps!

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4 years ago

On a map, San Francisco is 7.5 inches from San Diego. The actual distance is 500 miles. The same map shows that Fresno is 3.3 in

Strike441 [17]

If 500 miles is represented by 7.5 inches:
Divide 500 by 7.5
500/7.5 = 66.666
Multiply this by 3.3
66.666*3.3 = 220

The answer is 220 miles

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3 years ago

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The sugar content of the syrup in canned peaches is normally distributed. A random sample of n = 10 cans yields a sample standar

Serggg [28]

Answer:

The 95% confidence interval is given by:

3.30<σ<8.76

Step-by-step explanation:

1) Data given and notation

s=4.798 represent the sample standard deviation

$\bar x$ represent the sample mean

n=10 the sample size

Confidence=95% or 0.95

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:

$df=n-1=10-1=9$

Since the Confidence is 0.95 or 95%, the value of $\alpha=0.05$ and $\alpha/2 =0.025$ , and we can use excel, a calculator or a tabel to find the critical values.