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1 year ago

8

Dagogo uploads 333 videos on his channel every month. each video averages 151515 minutes in length and gets an average of 150{,}

000150,000150, comma, 000 new views. the average ratio of likes-to-views of dagogo's videos is 1:51:51, colon, 5. dagogo wants to reach a total of 9{,}000{,}0009,000,0009, comma, 000, comma, 000 views on his channel. assuming these rates continue, for how many months does dagogo need to upload videos to get to 9{,}000{,}0009,000,0009, comma, 000, comma, 000 views on his channel?

1 answer:

Luden [163]1 year ago

4 0

To acquire 90000000 views on his channel, he has to upload 20 videos every month.

<h3>According to the given information:</h3>

Every month, he posts 3 videos to his channel. An average number of people watch each video. = 1500000

In search of:

How many months must pass before he begins to receive 90,000,000 views on his channel?

Step 1

On his channel, he posts three videos each month.

The average number of views per video is.

3 Videos Receive Views

= 3 * 1500000

= 4,500,000 Views

Number of 4,500,000 views each month

Complete 90000000 Views

Step 2

Total Views/Months = Total Views/Total Views

Days in a month = 90000000/4500000

= 20

20 Monthly months in the number

To acquire 90000000 views on his channel, he has to upload 20 videos every month.

20 Months is the right response, so.

To know more about Average number's visit:

brainly.com/question/16956746

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Step-by-step explanation:

Step 1 :

From the histogram we can infer that

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2 to 4 texts has been sent by 3 student

4 to 6 texts has been sent by 4 student

6 to 8 texts has been sent by 4 student

8 to 10 texts has been sent by 5 student

Step 2:

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Step 3:

b)

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Step 4:

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Step 5:

d)

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Answer:

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$\bar X_2$ represent the sample for the sample 2

$s_1$ represent the deviation for the sample 1

$s_2$ represent the deviation for the sample 2

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$n_2 = 81$ represent the sample size for the group 2

And on this case if we create the system of hypothesis we have this:

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Alternative hypothesis: $\mu_1 -\mu_2 >0$

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".

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Solution to the problem

We assume that we have the following statistics:

$\bar X_1$ represent the sample for the sample 1

$\bar X_2$ represent the sample for the sample 2

$s_1$ represent the deviation for the sample 1

$s_2$ represent the deviation for the sample 2

$n_1 = 81$ represent the sample size for the group 1

$n_2 = 81$ represent the sample size for the group 2

And on this case if we create the system of hypothesis we have this:

Null hypothesis : $\mu_1 -\mu_2 \leq 0$

Alternative hypothesis: $\mu_1 -\mu_2 >0$

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6v+v+1

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