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jeka94
3 years ago
9

Ashley posts 17 status updates on her Facebook wall each day . Roberto posts 21 status updates on his Facebook wall each day .

Mathematics
2 answers:
shutvik [7]3 years ago
4 0

Let x be the number of days.  

If Ashley posts 17 status updates each day, then after x days Ashley posts 17x status updates.

If Roberto posts 21 status updates each day, then after x days Roberto posts 21x status updates.

Part A. The combined number of posts for Ashley and Roberto after x days is:

17x+21x.

Part B. The difference between number of posts for Ashley and Roberto after x days is:

21x-17x.

Anarel [89]3 years ago
3 0
A= 17x
R= 21x
combined: 17x+21x

21x-17x

please vote my answer brainliest. thanks!
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Answer:

36 and 49

Step-by-step explanation:

Please mark me as brainlyest

5 0
3 years ago
The total number of? restaurant-purchased meals that the average person will eat in a? restaurant, in a? car, or at home in a ye
zmey [24]

Answer:

<em>The number of restaurant-purchased meals eaten in a restaurant is 75, the number eaten in a car is 33 and the number eaten at home is 55.</em>

Step-by-step explanation:

Suppose, the number of meals eaten in a restaurant is x , in a car is y and at home is z

The total number of meals eaten in a restaurant, in a car or at home is given as 163. So, the first equation will be......

x+y+z=163 .............................(1)

The total number meals eaten in a car or at home exceeds the number eaten in a restaurant by 13. So, the second equation will be......

y+z=x+13 ................................(2)

Twenty more restaurant-purchased meals will be eaten in a restaurant than at home. So, the third equation will be......

x= z+20..................................(3)

First, <u>substituting equation (2) into equation (1)</u>, we will get........

x+(x+13)=163\\ \\ \Rightarrow 2x+13=163\\ \\ \Rightarrow 2x=163-13=150\\ \\ \Rightarrow x=\frac{150}{2}=75

<em>Now plugging this x=75 into equation (3)</em>, we will get......

75=z+20\\ \\ \Rightarrow z=75-20= 55

<em>Plugging x=75 and z=55 into equation (1)</em> .........

75+y+55=163\\ \\ \Rightarrow y+130=163\\ \\ \Rightarrow y=163-130=33

So, the number of restaurant-purchased meals eaten in a restaurant is 75, the number eaten in a car is 33 and the number eaten at home is 55.

8 0
3 years ago
What does License Ends in 28 days mean?
Ivanshal [37]

I think it means expires. I'm not sure though

4 0
3 years ago
Location is known to affect the number, of a particular item, sold by an automobile dealer. Two different locations, A and B, ar
yKpoI14uk [10]

Answer:

We conclude that the true mean number of sales at location A is fewer than the true mean number of sales at location B.

Step-by-step explanation:

We are given that Location A was observed for 18 days and location B was observed for 13 days.  

On average, location A sold 39 of these items with a sample standard deviation of 8 and location B sold 49 of these items with a sample standard deviation of 4.

<em>Let </em>\mu_1<em> = true mean number of sales at location A.</em>

<em />\mu_2 = <em>true mean number of sales at location B</em>

So, Null Hypothesis, H_0 : \mu_1-\mu_2\geq0  or  \mu_1 \geq \mu_2     {means that the true mean number of sales at location A is greater than or equal to the true mean number of sales at location B}

Alternate Hypothesis, H_A : \mu_1-\mu_2  or  \mu_1< \mu_2    {means that the true mean number of sales at location A is fewer than the true mean number of sales at location B}

The test statistics that would be used here <u>Two-sample t test statistics</u> as we don't know about the population standard deviations;

                        T.S. =  \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}  } }  ~ t_n__1_-_n__2-2

where, \bar X_1 = sample average of items sold at location A = 39

\bar X_2 = sample average of items sold at location B = 49

s_1 = sample standard deviation of items sold at location A = 8

s_2 = sample standard deviation of items sold at location B = 4

n_1 = sample of days location A was observed = 18

n_2 = sample of days location B was observed = 13

Also,  s_p=\sqrt{\frac{(n_1-1)s_1^{2}+(n_2-1)s_2^{2}  }{n_1+n_2-2} }  = \sqrt{\frac{(18-1)\times 8^{2}+(13-1)\times 4^{2}  }{18+13-2} }  = 6.64

So, <u><em>test statistics</em></u>  =  \frac{(39-49)-(0)}{6.64 \times \sqrt{\frac{1}{18}+\frac{1}{13}  } }  ~ t_2_9  

                               =  -4.14

The value of t test statistics is -4.14.

Now, at 0.01 significance level the t table gives critical value of -2.462 at 29 degree of freedom for left-tailed test.

<em>Since our test statistics is less than the critical values of t as -2.462 > -4.14, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which </em><u><em>we reject our null hypothesis</em></u><em>.</em>

Therefore, we conclude that the true mean number of sales at location A is fewer than the true mean number of sales at location B.

3 0
3 years ago
You owe $300 on your credit card. For every month that you fail to make a payment, your balance increases by 1%. Find a formula
Vlada [557]

Answer:

B(t) = 300(1.01)^{t}

Step-by-step explanation:

The balance owed after t months can be given by an exponential function in the following format:

B(t) = B(0)(1+r)^{t}

In which B(0) is the initial balance owed and r is the growth rate, as a decimal.

You owe $300 on your credit card. For every month that you fail to make a payment, your balance increases by 1%.

This means, respectively, that B(0) = 300, r = 0.01

So

B(t) = 300(1+0.01)^{t}

B(t) = 300(1.01)^{t}

4 0
3 years ago
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