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makkiz [27]
3 years ago
13

Lucy is in charge of planning a reception for 2400 people. She is trying to decide which snacks to buy. She has asked a random s

ample of people who are coming to the reception what their favorite snack is. Here are the results.
Favorite Snack Number of People
Brownies 29
Cookies 27
Chips 61
Other 63
Based on the above sample, predict the number of the people at the reception whose favorite snack will be cookies. Round your answer to the nearest whole number.
Mathematics
1 answer:
navik [9.2K]3 years ago
6 0

Answer:

360 people.

Step-by-step explanation:

Given the sample as:

  • Brownies 29
  • Cookies 27
  • Chips 61
  • Other 63

#Find the probability of a person eating cookies:

P(cookies)=\frac{No \ of \ cookies \ People}{No \ of people \ in \ sample}\\\\=\frac{27}{29+27+61+63}\\\\=0.15

#To find the number of cookie people in the population, we multiply the population size by the probability of having a cookie:

P_c=np, n=2400, p=0.15\\\\=2400\times 0.15\\\\=360

Hence, cookies is a favorite of 360 people.

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Answer:

We conclude that there is no significant difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids.

Step-by-step explanation:

We are given that a study by the National Athletic Trainers Association surveyed random samples of 1679 high school freshmen and 1366 high school seniors in Illinois.

Results showed that 34 of the freshmen and 24 of the seniors had used anabolic steroids.

Let p_1 = <u><em>proportion of Illinois high school freshmen who have used anabolic steroids.</em></u>

p_2 = <u><em>proportion of Illinois high school seniors who have used anabolic steroids.</em></u>

SO, Null Hypothesis, H_0 : p_1=p_2      {means that there is no significant difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids}

Alternate Hypothesis, H_A : p_1\neq p_2      {means that there is a significant difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids}

The test statistics that would be used here <u>Two-sample z test for</u> <u>proportions</u>;

                        T.S. =  \frac{(\hat p_1-\hat p_2)-(p_1-p_2)}{\sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} } }  ~ N(0,1)

where, \hat p_1 = sample proportion of high school freshmen who have used anabolic steroids = \frac{34}{1679} = 0.0203

\hat p_2 = sample proportion of high school seniors who have used anabolic steroids = \frac{24}{1366} = 0.0176

n_1 = sample of high school freshmen = 1679

n_2 = sample of high school seniors = 1366

So, <u><em>the test statistics</em></u>  =  \frac{(0.0203-0.0176)-(0)}{\sqrt{\frac{0.0203(1-0.0203)}{1679}+\frac{0.0176(1-0.0176)}{1366} } }

                                     =  0.545

The value of z test statistics is 0.545.

Since, in the question we are not given with the level of significance so we assume it to be 5%. <u>Now, at 5% significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.</u>

Since our test statistic lies within the range of critical values of z, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u>we fail to reject our null hypothesis</u>.

Therefore, we conclude that there is no significant difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids.

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Me just so I can ask a question
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