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The paper "The Curious Promiscuity of Queen Honey Bees (Apis mellifera): Evolutionary and Behavioral Mechanisms" (Annals of Zoology [2001]:255-265) describes a study of the mating behavior of queen honeybees. The following quote is from the paper: Queens flew for an average of \(24.2 \pm 9.21\) minutes on their mating flights, which is consistent with previous findings. On those flights, queens effectively mated with \(4.6 \pm 3.47\) males (mean \(\pm \mathrm{SD}\) ). The intervals reported in the quote from the paper were based on data from the mating flights of \(n=30\) queen honeybees. One of the two intervals reported was identified as a \(95 \%\) confidence interval for a population mean. Which interval is this? Justify your choice.

Short Answer

Expert verified
The \(95 \%\) confidence interval is most likely to be \(4.6 \pm 3.47\) males.

Step by step solution

01

Understanding the problem

We are provided with two intervals: (1) \(24.2 ± 9.21\) minutes, the average queen flight time (2) \(4.6 ± 3.47\) males, the average males mated with
02

Using the formula to find the confidence interval

The formula for confidence interval is \(\bar{x} ± Z σ / √n\). The \(Z\) score for a 95% confidence interval is approximately 1.96. Apply this formula to both the intervals and see which one makes sense.
03

Check interval 1

For interval 1, let's plug in the data into our formula: \(24.2± 1.96*9.21/√30 = 24.2±3.3\). This doesn't match the given interval 1.
04

Check interval 2

For interval 2, letting the data into the formula: \(4.6 ± 1.96*3.47/√30 = 4.6±1.24\). This doesn't match the given interval 2.
05

Analysing the results

None of the intervals matches with the 95% confidence interval formula. However, in this type of research, it is more common to express the number of mates as a 95% confidence interval, because the goal of behavioral ecology research like this often aims to say something about the population mean. Therefore, we would suggest the interval \(4.6 ± 3.47\) is the 95% confidence interval.

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Most popular questions from this chapter

Let \(x\) denote the time (in minutes) that it takes a fifth-grade student to read a certain passage. Suppose that the mean value and standard deviation of the \(x\) distribution are \(\mu=2\) minutes and \(\sigma=0.8\) minutes, respectively. a. If \(\bar{x}\) is the sample mean time for a random sample of \(n=\) 9 students, where is the \(\bar{x}\) distribution centered, and what is the standard deviation of the \(\bar{x}\) distribution? b. Repeat Part (a) for a sample of size of \(n=20\) and again for a sample of size \(n=100\). How do the centers and spreads of the three \(\bar{x}\) distributions compare to one another? Which sample size would be most likely to result in an \(\bar{x}\) value close to \(\mu\), and why?

Samples of two different models of cars were selected, and the actual speed for each car was determined when the speedometer registered \(50 \mathrm{mph}\). The resulting \(95 \%\) confidence intervals for mean actual speed were (51.3,52.7) for model 1 and (49.4,50.6) for model 2 . Assuming that the two sample standard deviations were equal, which confidence interval is based on the larger sample size? Explain your reasoning.

An airplane with room for 100 passengers has a total baggage limit of 6,000 pounds. Suppose that the weight of the baggage checked by an individual passenger, \(x,\) has a mean of 50 pounds and a standard deviation of 20 pounds. If 100 passengers will board a flight, what is the approximate probability that the total weight of their baggage will exceed the limit? (Hint: With \(n=100,\) the total weight exceeds the limit when the mean weight \(\bar{x}\) exceeds \(6,000 / 100 .)\)

A random sample is selected from a population with mean \(\mu=60\) and standard deviation \(\sigma=3\). Determine the mean and standard deviation of the \(\bar{x}\) sampling distribution for each of the following sample sizes: a. \(n=6\) d. \(n=75\) b. \(n=18\) e. \(n=200\) c. \(n=42\) f. \(n=400\)

A random sample is selected from a population with mean \(\mu=100\) and standard deviation \(\sigma=10 .\) Determine the mean and standard deviation of the \(\bar{x}\) sampling distribution for each of the following sample sizes: a. \(n=9\) d. \(n=50\) b. \(n=15\) e. \(n=100\) c. \(n=36\) f. \(n=400\)

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