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tatiyna
2 years ago
15

1. Keeping in mind the rules for significant digits, if we multiply 11.55 by 2.5, how many significant digits are we allowed to

keep?
A. 5
B. 2
C. 3
D. 4
2. Keeping in mind the rules for rounding, significant digits, and scientific notation, what is 975.0321/0.0003?
A. 3.250107 × 10^6
B. 3.3 × 10^6
C. 3.25 × 10^6
D. 3 × 10^6
E. 325010.7
3. Keeping in mind the rules for significant digits, find 0.00147 × 8.314 × 7.100?
A. 8.677 × 10^−2
B. 0.087
C. 8.68 × 10^−2
D. 8.7 × 1^02
Mathematics
1 answer:
kherson [118]2 years ago
4 0
1. For multiplication and division), we first compare the number of significant figure (let's call it SF later in the problem) that the factors have. The product will have the least numbers between them. So, for the case of 11.55 x 2.5, 11.55 has 4 SF while 2.5 has 2. So we choose the smallest which is 2 for this case. Hence, the answer is B. 2. Using the same rules as mentioned in Item 1, we first compare the number of SF in the numbers give. 975.0321 has 7 SF while 0.0003 has 1 (all zeroes not following a counting number are not significant). We now solve for the quotient and round it off to 1 SF. (975.0321/0.0003) = 3250107. Rounding it off, we have 3000000 or 3 x 10⁶. Thus, the answer is D. 3. The rules for multiplication still apply even for more than two factors. So, let's first take note of the SF present in each factor as shown below. 0.00147 = 3 SF 8.314 = 4 SF 7.100 = 4 SF (zeroes after a counting number in the decimal place are considered significant) From this, we can see that the product must round off to 3 SF. Multiplying the three numbers, we have 0.00147 x 8.314 x 7.100 = 0.086773218 So, the product rounded off to 3 SF is 0.0868 or 8.68 x 10⁻². So, the answer must be C<span>. </span>
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Explanation:

Let a student have c number of toffees in his bag.

It is given that he distribute \frac{3}{4}th part of those toffees to his friends.

The \frac{3}{4}th part of c toffees is,

\frac{3c}{4}

The total number of distributed toffees is 21.

\frac{3c}{4}=21

It is the same as given equation.

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Step-by-step explanation:

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Answer:

a) 79.67% probability that a randomly selected bottle has at least 355 ml

b) 99.29% probability that the bottles of a randomly selected 6-pack of beer have an average of at least 355 ml.

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Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question:

\mu = 355.5, \sigma = 0.6

a. What is the probability that a randomly selected bottle has at least 355 ml?

This is 1 subtracted by the pvalue of Z when X = 355. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{355 - 355.5}{0.6}

Z = -0.83

Z = -0.83 has a pvalue of 0.2033

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79.67% probability that a randomly selected bottle has at least 355 ml.

b. What is the probability that the bottles of a randomly selected 6-pack of beer have an average of at least 355 ml?

Now n = 6, s = \frac{0.5}{\sqrt{6}} = 0.2041

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

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99.29% probability that the bottles of a randomly selected 6-pack of beer have an average of at least 355 ml.

c. What is the probability that the total amount of beer in the 6-pack is less than 2131.5 ml?

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This is the pvalue of Z when X = 355.25.

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