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g100num [7]
3 years ago
6

Which of the following is an example of a rational number that is not an integer? 4 , 0 , 1/5

Mathematics
2 answers:
shtirl [24]3 years ago
8 0

Answer:

4

Step-by-step explanation:

fiasKO [112]3 years ago
8 0
Sksjsisidodisbshej it’s 4
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parker correctly answered 70% of the questions on his math test. If he answered 35 questions correctly, how many questions were
Alexandra [31]

Let the total number of questions in the math test be defined by the variable x.

Now, we know that Parker correctly answered 35 questions. These 35 questions make 70% of the total number of questions on his math test.

The information we have above can be expressed as an equation given below:

70% of x=35

This can be rewritten as:

\frac{70}{100}x=35

Thus, to find the total number of questions we will have to isolate x.

\therefore x=\frac{35\times 100}{70}=50

Therefore, there were a total of 50 questions in the math test.

4 0
3 years ago
Read 2 more answers
According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a
Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

\mu = 7.5, \sigma = 1.1

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

X = 8.6

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

Z = \frac{8.6 - 7.5}{1.1}

Z = 1

Z = 1 has a pvalue of 0.8413

X = 6.4

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

Z = \frac{6.4 - 7.5}{1.1}

Z = -1

Z = -1 has a pvalue of 0.1587

0.8413 - 0.1587 = 0.6826

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

6 0
3 years ago
PLS HELP SOLVE! and pls show work
Maurinko [17]

Answer:

see explanation

Step-by-step explanation:

(\frac{g}{h})(t) = \frac{g(t)}{h(t)} = \frac{t+3}{3t-4}

6 0
3 years ago
Half of a number is 16. Write an equation and solve to find the number?
Kobotan [32]

Answer:

16 / 2, 8

Step-by-step explanation:

Half always means divide by two. 16 divided by 2 is 8. That last sentence is also the equation.

7 0
3 years ago
Read 2 more answers
Please help with the answer for 7/9 -1/3=
Levart [38]

Answer:

4/9 is the answer

Hope it correct and it helps

6 0
3 years ago
Read 2 more answers
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