![]() Divide by the total number of sports stadiums in the sample. where (sigma), and (mu), are respectively the standard deviation and. a) What percentage of the people in line waited. The probability density function that is of most interest to us is the normal distribution. in class practice problems worksheet on normal distribution for each. Hint: Order the data and count the sports stadiums that have a maximum capacity less than 67,000. A probability density function is also called a continuous distribution function. Determine the cumulative relative frequency that the maximum capacity of sports stadiums is less than 67,000 spectators.Use the distribution in part e to calculate the probability that the maximum capacity of sports stadiums is less than 67,000 spectators.The distribution of \(X\) can then be approximated by \(X \sim\) _(_,_). Let the sample mean approximate \(\mu\) and the sample standard deviation approximate \(\sigma\).Draw a smooth curve through the midpoints of the tops of the bars of the histogram.Calculate the sample mean and the sample standard deviation for the maximum capacity of sports stadiums (the data).To the nearest percent, what percent of batteries have lifetimes. The mean lifetime is 500 days and the standard deviation is 61 days. Battery lifetime is normally distributed for large samples. The table does not include horse-racing or motor-racing stadiums. A really great activity for allowing students to understand the concept of the Normal Distribution and Standard Deviation. Table shows a sample of the maximum capacity (maximum number of spectators) of sports stadiums. If only ten customers has been surveyed rather than 50, do you think the answers to part f and part g would have been closer together or farther apart? Explain your conclusion.977 d) If a company purchased 2000 tires, how many tires. What percent of the tires will have a life that exceeds 26,000 km. Why are the answers to part f and part g as close as they are? Worksheet on Normal Distribution Name:Answer Key For each question, construct a normal distribution curve and label the horizontal axis.Why aren’t the answers to part f and part g exactly the same?.Determine the cumulative relative frequency for waiting less than 6.1 minutes.Use the distribution in part e to calculate the probability that a person will wait fewer than 6.1 minutes.The distribution of \(X\) can then be approximated by \(X \sim\) _(_,_) Step 2: Divide the difference by the standard deviation. Step 1: Subtract the mean from the x value. Let the sample mean approximate \(\mu\) and the sample standard deviation approximate \(\sigma\). The z score tells you how many standard deviations away 1380 is from the mean. ![]() In words, describe the shape of your histogram and smooth curve.Draw a smooth curve through the midpoints of the tops of the bars.Calculate the sample mean and the sample standard deviation.Table displays the ordered real data (in minutes): 0.50 Thuy Dau, Ngoc Bui, Sam Su, and Lan Voung conducted a survey as to how long customers at Lucky claimed to wait in the checkout line until their turn.
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