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tankabanditka [31]
3 years ago
13

You are conducting a survey on the best beaches in the world. Which group would probably give the most reliable data? responses

from tourists who wish to visit these beaches responses from government officials of the countries where the beaches are located responses from tourists who have visited the beaches responses from your friends and family
Mathematics
1 answer:
weeeeeb [17]3 years ago
4 0
We can analyze each of the statements. Responses of tourist who wish to visit these beaches: this is a biased sample, because they already want to go there so they have a positive opinion which may o may not be a direct perception. Responses from government officials of the countries where the beaches are located: not reliable because they have an interest to promote tourism toward their countries. Responses from tourists who have visited the beaches: this seems an appropiate group because they are the persons who have a real experience as tourist of those beaches and shoulb be more objective that the others. Responses from you friendes and family: hard to believe that they know most of the best beaches of the world to give a response bases on facts. <span>Then, the answer is the option Responses from tourists who have visited the beaches.</span>
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Answer:

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11m + 13 = m + 23

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10m + 13 = 23

<u>Subtract 13 from both sides.</u>

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The mean of a normally distributed dataset is 12, and the standard deviation is 2.
Schach [20]
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5 0
3 years ago
Below are three different hypothesis tests about population proportions. For each test, use StatKey and the information given to
Ilia_Sergeevich [38]

Answer:

1a) p-hat=0.38

1b) P=0.08

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2a) p-hat=0.64

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3a) p-hat=0.55

3b) P=0.153

3c) The null hypothesis is not rejected

Step-by-step explanation:

(1) H0: p = 0.3 vs Ha: p ≠ 0.3. In their survey, they had a count of 38 using a sample size n=100.

1a) The p-hat is p-hat=38/100=0.38.

1b) The standard deviation is

\sigma=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.3*0.7}{100}}=0.046

The sample size is n=100.

The z-value is:

z=\frac{\hat{p}-p}{\sigma}=\frac{0.38-0.3}{0.046}=\frac{0.08}{0.046}= 1.74

As it is a two-sided test, the p-value considers both tails of the distribution.

The p-value for this |z|=1.74 is P=0.08.

1c) The null hypothesis is not rejected.

(2) H0: p = 0.7 vs Ha: p ≠ 0.7. In their survey, they had a count of 320 using a sample size n=500.

2a) The p-hat is p-hat=320/500=0.64.

2b) The standard deviation is

\sigma=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.7*0.3}{500}}=0.02

The sample size is n=500.

The z-value is:

z=\frac{\hat{p}-p}{\sigma}=\frac{0.64-0.7}{0.02}=\frac{-0.06}{0.02}=-3

As it is a two-sided test, the p-value considers both tails of the distribution.

The p-value for this |z|=3 is P=0.0027.

2c) The null hypothesis is rejected.

(3) H0: p = 0.6 vs Ha: p < 0.6. In their survey, they had a count of 110 using a sample size n=200.

2a) The p-hat is p-hat=110/200=0.55.

2b) The standard deviation is

\sigma=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.6*0.4}{200}}=0.035

The sample size is n=200.

The z-value is:

z=\frac{\hat{p}-p}{\sigma}=\frac{0.55-0.6}{0.035}=\frac{-0.05}{0.035}=-1.43

As it is a two-sided test, the p-value considers both tails of the distribution.

The p-value for this |z|=1.43 is P=0.153.

2c) The null hypothesis is not rejected.

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Answer:

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3 years ago
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