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Wewaii [24]
4 years ago
6

Counting clockwise from the minute hand, how many degrees are there from the minute hand to the hour hand at 5 o'clock?​

Mathematics
1 answer:
andrew11 [14]4 years ago
4 0

Given that the minute hand is at exactly 12hrs there is a difference of 5 hours in between so you multiply 5over 12 by 360degrees and you get 180degrees

5/12*360=150

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Ben strikes out 90 times in 340 at bat. What percent of the time does Ben strike out
nikklg [1K]

Answer:

percentage=26.47\%

Step-by-step explanation:

Ben\ strikes\ in\ 340\ efforts=90\\\\So\ fraction\ he\ can\ strike\ 1\ effort=\frac{number\ of\ times\ he\ strikes}{total\ efforts}\\\\So\ fraction\ he\ can\ strike\ in\ 1\ effort=\frac{90}{340}\\\\So\ fraction\ he\ can\ strike\ in\ 1\ effort=\frac{9}{34}\\\\He\ can\ strike\ in\ 100\ efforts=\frac{9}{34}\times 100\\\\percentage=26.47\%

3 0
4 years ago
On Friday there were 8 snowboarders for every 3 skiers at Slovak ski resort. On Saturday the ratio of the number of snowboarders
atroni [7]

Answer:

There are 46 more skiers than snowboarder

Step-by-step explanation:

Given

Ratio of Snowboarders to Skiers

On Friday:

Ratio = 8 : 3

On Saturday:

Ratio = 4 : 7

Population = 168

Required

Determine the difference in the number of skiers and snowboarders on Saturday

On Saturday, we have

Ratio = 4 : 7

Calculate Total

Total = 4 + 7

Total = 11

Calculate the number of skiers

Skiers = \frac{7}{11} * 168

Skiers = \frac{1176}{11}

Skiers = 107 (Approximated)

Calculate the number of snowboarders

Snowboarders = \frac{4}{11} * 168

Snowboarders = \frac{672}{11}

Snowboarders = 61 (Approximated)

Calculate the difference

Difference = 107 - 61

Difference = 46

<em>Hence, there are 46 more skiers than snowboarder</em>

6 0
4 years ago
How do you differentiate linear equation from those equatipn which are not linear?​
dedylja [7]

Answer:

the x

Step-by-step explanation:

Looking at the x in an equation can reveal its shape. A linear graph can look like y=x, y=mx, y=mx+b (m being any number).

When you look at graphs that aren't linear, the x doesn't stand alone in the equation.

Parabolas have a y=x^2 equation. Cubic graphs are y=x^3. They have something attached to the x.

To see all the different kinds of equations and what their graphs look like you can search up "parent functions" and all the basic formulas show up.

8 0
3 years ago
What are the answers to:<br> 1. -4s = -16<br> 2. 63 = -9d<br> 3. h/-3 = 12<br> 4. g/12 = -10
UkoKoshka [18]
The answer for the first one would be 4 just divide both 16 & 4.

The answer for the second one would be -7 just divide both 63 & -9.

The answer for the third one would be -36 just multiply both 12 and -3.

The answer for the fourth one would be -120 just multiply -10 and 12.
7 0
3 years ago
The heights of baby giraffe are normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. If 100 b
ANEK [815]

Answer:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(63.6,2.5)  

Where \mu=63.6 and \sigma=2.5

We select n =100. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

We want this probability:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

4 0
4 years ago
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