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Xelga [282]
4 years ago
9

Suppose 100 stastisticians attended a conference of the American Statistical Society. At the dinner, among the menu options were

a Caesar salad, roast beef, and apple pie. 35 had the Caesar salad, 28 had the roast beef, and 45 had the apple pie for dessert. Also, 15 had at least two of those three offerings, and 2 had all three. How many attendees had none of the three

Mathematics
1 answer:
miv72 [106K]4 years ago
3 0

Answer: 26 attendees had none of the three.

Step-by-step explanation:

The Venn diagram illustrating the situation is shown in the attached photo.

C represents the set of statisticians that had Caesar salad.

R represents the set of statisticians that had roast beef.

A represents the set of statisticians that had apple pie for dessert.

x represents the number that had Caesar salad and apple pie for dessert only.

y represents the number that had Caesar salad and roast beef.

z represents the number that had roast beef and apple pie for dessert only.

If 15 had at least two of those three offerings,it means that

x + y + z = 15

Therefore,

35 - (x + y + 2) + 28 - (y + z + 2) + 45 - (x + z + 2) + 2 + none = 100

35 - x - y - 2 + 28 - y - z - 2 + 45 - x - z - 2 + 2 + none = 100

35 + 28 + 45 - x - x - y - y - z - z - 2 - 2 - 2 + 2 + none = 100

108 - 2x - 2y - 2z - 4 + none = 100

108 - 4 - 2(x + y + z) + none = 100

Since x + y + z = 15, then

104 - 2(15) + none = 100

74 + none = 100

none = 100 - 74 = 26

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3 years ago
A random sample of 850 births included 434 boys. Use a 0.10 significance level to test the claim that 51.5​% of newborn babies a
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Answer:

A

Null hypothesis: H0: p = 0.515

Alternative hypothesis: Ha ≠ 0.515

z = -0.257

P value = P(Z<-0.257) = 0.797

Decision; we fail to reject the null hypothesis. That is, the results support the belief that 51.5​% of newborn babies are​ boys

Rule

If;

P-value > significance level --- accept Null hypothesis

P-value < significance level --- reject Null hypothesis

Z score > Z(at 90% confidence interval) ---- reject Null hypothesis

Z score < Z(at 90% confidence interval) ------ accept Null hypothesis

Step-by-step explanation:

The null hypothesis (H0) tries to show that no significant variation exists between variables or that a single variable is no different than its mean. While an alternative Hypothesis (Ha) attempt to prove that a new theory is true rather than the old one. That a variable is significantly different from the mean.

For the case above;

Null hypothesis: H0: p = 0.515

Alternative hypothesis: Ha ≠ 0.515

Given;

n=850 represent the random sample taken

Test statistic z score can be calculated with the formula below;

z = (p^−po)/√{po(1−po)/n}

Where,

z= Test statistics

n = Sample size = 850

po = Null hypothesized value = 0.515

p^ = Observed proportion = 434/850 = 0.5106

Substituting the values we have

z = (0.5106-0.515)/√(0.515(1-0.515)/850)

z = −0.256677

z = −0.257

To determine the p value (test statistic) at 0.10 significance level, using a two tailed hypothesis.

P value = P(Z<-0.257) = 0.797

Since z at 0.10 significance level is between -1.645 and +1.645 and the z score for the test (z = -0.257) which falls with the region bounded by Z at 0.10 significance level. And also the one-tailed hypothesis P-value is 0.797 which is greater than 0.10. Then we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say that at 10% significance level the null hypothesis is valid.

5 0
3 years ago
The batteries from a certain manufacturer have a mean lifetime of 850 hours, with a standard deviation of 70 hours, assuming tha
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5 0
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2.

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Step-by-step explanation:

I couldn't find an answer to number 2, sorry! You should probably go over it one more time and check that all these answers are correct. You might catch something I missed :)

Hope this helps!

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