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Mama L [17]
3 years ago
8

if a pair of standard dice are rolled what is the probability that one die shows a six but not both of them. reduced fraction an

swer​
Mathematics
1 answer:
Novay_Z [31]3 years ago
6 0

Answer:

P=\frac{5}{18}

Step-by-step explanation:

we know that

The probability of an event is the ratio of the size of the event space to the size of the sample space.  

The size of the sample space is the total number of possible outcomes  

The event space is the number of outcomes in the event you are interested in.  

so  

Let

x------> size of the event space

y-----> size of the sample space  

if a die is rolled the sample space is

\{1,2,3,4,5,6\}

if two dice rolled the sample space is

\{1,2,3,4,5,6\}*\{1,2,3,4,5,6\}

so

The possible pairs are

y=6*6=36

The size of the event space x is

\{(1,6),(2,6),(3,6),(4,6),(5,6),(6,1),(6,2),(6,3),(6,4),(6,5)\}

x=10

P=\frac{x}{y}

substitute

P=\frac{10}{36}

Simplify

P=\frac{5}{18}

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Answer:

1st graph: m = -1/2. (m is the slope)

2nd graph: m = 3/2.

3rd graph: Midpoint = (1/2, 1/2)

Step-by-step explanation:

1st graph:

Find the slope by looking for two points on the line. Use the formula m = \frac{y_{2}-y_{1} }{x_{2}-x_{1}}

We can derive the points (-3, 0) and (1, -2). Plug these into the equation above.

m= \frac{-2-0}{1-(-3)}

Simplify this, giving you: m = -1/2.

2nd graph:

Use the same formula as stated above. From this graph, you can plug in the points (-1, 1) and (1, 4)

m = \frac{4-1}{1-(-1)}

Simplifying gets you: m = 3/2.

3rd graph:

To find the midpoint, use the formula: (\frac{x_{1}+x_{2} }{2} , \frac{y_{1} +y_{2} }{2} )

Plug in the end-points of the graph, or (-3, 2) and (4, -1).

You get:

(\frac{-3+4}{2}, \frac{2-1}{2})

Simplify:

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3 years ago
A county is considering rasing the speed limit on a road because they claim that the mean speed of vehicles is greater than 30 m
DochEvi [55]

Answer:

No, at alpha equals 0.10​, we do not have enough evidence to support the​ county's claim.

Step-by-step explanation:

We are given that a county is considering raising the speed limit on a road because they claim that the mean speed of vehicles is greater than 30 miles per hour.

A random sample of 15 vehicles has a mean speed of 31 miles per hour and a standard deviation of 4.7 miles per hour.

<em><u>Let </u></em>\mu<em><u> = true mean speed of the vehicles.</u></em>

SO, <u>Null Hypothesis</u>, H_0 : \mu \leq  30 miles per hour   {means that the mean speed of vehicles is lesser than or equal to 30 miles per hour}

<u>Alternate Hypothesis,</u> H_A : \mu > 30 miles per hour   {means that the mean speed of vehicles is greater than 30 miles per hour}

The test statistics that will be used here is <u>One-sample t test statistics</u> as we don't know about the population standard deviation;

                        T.S.  = \frac{\bar X -\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean speed of 15 vehicles = 31 mph

             s = sample standard deviation = 4.7 mph

             n = sample of vehicles = 15

So, <em><u>test statistics</u></em>  =   \frac{31-30}{\frac{4.7}{\sqrt{15} } }  ~ t_1_4

                               =  0.824

<u><em>Hence, the value of test statistics is 0.824.</em></u>

<em />

<em>Now at 0.10 significance level, the t table gives critical value of 1.345 at 14 degree of freedom for right-tailed test. Since our test statistics is less than the critical value of t as 0.824 < 1.345, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.</em>

<em />

Therefore, we conclude that the mean speed of vehicles is lesser than or equal to 30 miles per hour which means that the county's claim is not supported.

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Answer: 24 servings

Step-by-step explanation:

First and foremost, we should note that:

4 cups = 1 quart

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