All categories

3 years ago

I think this may be 29.8

Mathematics

2 answers:

olganol [36]3 years ago

4 0

There are 1000 mL in a Liter.

0.298 mL * 1 L/1000 mL = 0.000298 L

That makes the answer D

You could put in your calculator like this (if that is the problem)

0.298

1000

0.000298

I have two calculators. One registers that as the answer and the other one changes into scientific notation

2.98 * 10^-4.

10^-4 requires 3 zeros after the decimal to get rid of 10^-4

0.000298 get's rid of the 10^-4 if that is what your calculator gives you.

Ronch [10]3 years ago

3 0

Note that 1000 ml = 1 liter.

Thus,

0.298 ml 1 liter

--------------- * ------------------ = 0.000298 liter

1 1000 ml

You might be interested in

Brand Y Cola sponsors a survey of 15,559 residents of Texas to determine which brand of cola they prefer. Forty percent say they

Triss [41]

Answer:

6224 Brand X residents and 9335 Brand Y residents

Step-by-step explanation:

Total number of residents in the survey=15559

Residents that prefer Brand X=40%

Residents that prefer Brand Y=60%

<u>Population sample?</u>

Residents that prefer Brand X= 40/100 ×15559 =6223.6⇒6224 residents

Residents that prefer Brand Y= 60/100 × 15559 =9335.4⇒⇒9335 residents

3 0

3 years ago

Read 2 more answers

Write as a mixed number 98/5

Reptile [31]

Answer:

The answer is 19.6 or 1 9/6 hope this helps!

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

Consider the question of whether the home team wins more than half of its games in the National Basketball Association. Suppose

spayn [35]

Answer:

0.0037 = 0.37% probability that the home team would win 65% or more of its games in a simple random sample of 80 games

Step-by-step explanation:

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

Normal Probability Distribution:

Problems of normal distributions can be solved using 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$