1 2/3. 7/8 someone help me please

2 answers:

8 0

When multiplying fractions you can simply multiply across. Changing the mixed fraction to an improper fraction will make this easier. To change $1 \frac{2}{3}$ from a mixed to a proper, simply multiply the denominator by the whole number (3*1) and add the numerator (3+2). The improper fraction is $\frac{5}{3}$ .

Now simply multiply across so $\frac{5}{3} * \frac{7}{8} = \frac{5*7}{3*8} = \frac{35}{24}$

Ksivusya [100]3 years ago

3 0

1 2/3 * 7/8...turn the mixed number to an improper fraction
5/3 * 7/8 = 35/24 = 1 11/24

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Consider △LNM. Triangle L M N is shown. Angle N M L is a right angle. Which statements are true for triangle LNM? Check all that

horsena [70]

Answer:

The side opposite ∠L is NM.
The side opposite ∠N is ML.
The hypotenuse is LN.

Step-by-step explanation:

Even a crude drawing can be helpful as you sort this out. (See attached.)

In general, the side opposite an angle will not have the letter of the angle in its name. Similarly, a side adjacent to the angle will have the angle letter in its name.

The statements that apply are ...

The side opposite ∠L is NM.
The side opposite ∠N is ML.
The hypotenuse is LN. (opposite right angle M)

3 0

3 years ago

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The average systolic blood pressure was found to be 140 mm for people who have high responsibility jobs, specifically investment

defon

Answer:

t = -1.428

Step-by-step explanation:

Average blood pressure among people with high responsibility jobs = u = 140 mm

Number of people sampled for the study = n = 51

Average blood pressure of the sample = x = 139 mm

Standard deviation of the sample = s = 5 mm

The claim is that practicing yoga decreases the blood pressure. So we have to test that after practicing yoga, the average blood pressure will be lesser than 140. Based on this we can formulate the null and alternate hypothesis as:

Null Hypothesis: $\mu \geq 140$

Alternate Hypothesis: $\mu < 140$

Since population standard deviation is not known, we cannot use z-distribution for this test. We are given the value of sample standard deviation, so t-test will be used for this case.

Test statistic is calculated as:

$t=\frac{x-u}{\frac{s}{\sqrt{n} } }$