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Dmitrij [34]
3 years ago
15

One ounce is approximately equal to 28.35 grams. Find the number of grams in 140 ounces. Round to the nearest tenth of a gram, i

f needed.
Mathematics
2 answers:
miv72 [106K]3 years ago
7 0

Answer:

3,969

Step-by-step explanation:

multiply 140x28.35

otez555 [7]3 years ago
4 0

Answer:

3,969

Step-by-step explanation:

multiply 140x28.35

Thanks I hope this helps and I hope you are safe and stay home

Have a nice day! :) :) :) :)

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There is a difference between a research topic and a research question. A research question provides a foundation for creating a
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The research question is important to a researcher as it helps in solving the issue that the researcher wants to solve.

  • The research topic will be "Social media has an effect on the behavior of children".

  • The research question will be "what effect does social media has on the effects of the behavior of children".

  • The null hypothesis will be "there is no statistical significance between social media and children's behavior".

  • The alternative hypothesis will be "there is a statistical significance between social media and children's behavior".

  • The null hypothesis will be rejected when the p-value is equal to the significance level or it's less than it.

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3 years ago
Suppose a random variable, x, arises from a binomial experiment. If n = 6, and p = 0.30, find the following probabilities using
AlladinOne [14]

Answer:

<u></u>

  • <u>a) P(X=1) = 0.302526</u>
  • <u>b) P(X=5) = 0.010206</u>
  • <u>c) P(X=3) = 0.18522</u>
  • <u>d) P(X≤3) = 0.92953</u>
  • <u>e) P(X≥5) = 0.010935</u>
  • <u>f) P(X≤4) = 0.989065</u>

Explanation:

Binomial experiments are modeled by the formula:

       P(X=x)=C(n,x)\cdot p^x\cdot (1-p)^{(n-x)}

Where

  • P(X=x) is the probability of exactly x successes

  • C(n,x)=\dfrac{n!}{x!\cdot (n-x)!}

  • p is the probability of one success, which must be the same for every trial, and every trial must be independent of other trial.
  • n is the number of trials
  • 1 - p is the probability of fail
  • there are only two possible outcomes for each trial: success or fail.

<u>a.) P (x=1)</u>

<u></u>

       P(X=1)=\dfrac{6!}{1!\cdot (6-1)!}\times (0.3)^1\times(1-0.3)^{(6-1)}=0.302526

<u>b.) P (x=5)</u>

     P(X=5)=\dfrac{5!}{5!\cdot (6-5)!}\times (0.3)^5\times (1-0.3)^{(6-5)}=0.010206

<u>c.) P (x=3)</u>

Using the same formula:

    P(X=3)=0.18522

<u>d.) P (x less than or equal to 3)</u>

  • P(X≤3)= P(X=3) + P(X=2) + P(X=1) + P(X=0)

Also,

  • P(X≤3) = 1 - P(X≥4) = 1 - P(X=4) - P(X=5) - P(X=6)

You can use either of those approaches. The result is the same.

Using the second one:

  • P(X=4) = 0.059335
  • P(X=5) = 0.010206
  • P(X=6) = 0.000729

  • P(X≤3) = 1 - 0.05935 - 0.010206 - 0.000729 = 0.92953

<u>e.) P(x greather than or equal to 5)</u>

  • P(X≥5) = P(X=5) + P(X=6)
  • P(X≥5) = 0.010206 + 0.000729 =  0.010935

<u>f.) P(x less than or equal 4)</u>

  • P(X≤4) = 1 - P(X≥5) = 1 - P(X=5) - P(X=6)
  • P(X≤4) = 1 - 0.010206 - 0.000729 = 0.989065
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