ppose that at Yellowstone National Park, they want to estimate the population mean weight of the adult bear population. Assume we know that the weights are normally distributed with population standard deviation 122 pounds. How many bears should they sample to estimate the population mean weight with 95% confidence and a margin of error of 25 pounds?

It is widely claimed that a histogram is skewed to the left when the median is greater than the mean and to the right when the median is less than the mean. But there are exceptions to this claim. Demonstrate this exception by creating a data set that has at least 15 samples and plot the histogram.

Suppose the distribution of typing speeds in words per minute for experienced typists can be approximated by a normal curve with a mean of 60 wpm and a standard deviation of 15 wpm. To be considered for a position an applicant needs to have a typing speed of at least 70 wpm. If 62 experienced typists apply for the job, how many of these would be considered based on their typing speed?

Identify the formula for the margin of error for the estimate of a population mean when the population standard deviation is unknown.

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Calculate the estimated standard error for the case where the sample standard deviation is 25 and the sample size 137. Answer to three decimal places if necessary, you may round up or down.

When we make a set of measurements, the width or standard deviation of the sampled parent distribution generally reflects the accuracy of our measurement methods. True or False

What variable is not needed to calculate the sample size for a known population standard deviation?

Consider a sample of pennies. Their weights are measured and found to have a variance of 2.69. Give a point estimate for the population variance in weights of pennies. Round your answer to two decimal places, if necessary. Answer How to enter your now window)

If we meet these conditions, the sampling distribution of the mean will have a normal shape and ... The mean of the sampling distribution will be u, (i.e., the same as the population mean) and the standard deviation of the sampling distribution will be (that's the population standard deviation divided by the square root of the sample size). In the AP Stats Guy video, he talks about the number of text messages his students send during class. Suppose the average number of text messages his students send during class is u = 30 text messages. If we take samples of say, n = 36 students at a time, we would expect the mean of the sampling distribution we create to be the same as the population mean, 30 text messages. If we can further say that standard deviation of the number of text messages is 12 text messages, by how much would we expect the sample means to vary? (hint, use the formula above) text messages