No SIMA berkeleycollege.instructure.comA researcher wishes toestimate the number of days ittakes an automobile dealer tosell a Ferrari 458. A randomsample of 50 cars had a meantime on the dealer's lot of 54days. Assume the populationstandard deviation to be 6.0days.1. Find the best point estimateof the population mean.DAYS.(Round answer to two decimalplaces)2. Find the margin of error forthe 95% confidence level.DAYS.(Round answer to two decimalplaces)

From the given information we find the point estimate and Margin of error.

Answered: est takes an automobile dealer to sell…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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are all equal. 3. If a set of grades for a class has a large range and a small standard deviation, what can you say about the class? Include an interpretation that is specific to grades in a class. 4. Why is the median less affected by skewed data than the mean? 5. Is most data likely to be skewed or symmetric? There is no right or wrong here but discuss and take a side on the issue.
A vending machine dispenses coffee into a twelve-ounce cup. The amount of coffee dispensed into the cup is normally distributed with a standard deviation of 0.04 ounce. You can allow the cup to overfil 3% of the time. What amount should you set as the mean amount of coffee to be dispensed? Cik to View ongn 1.o the table Click to view. Dagn 2.of the tabin. Dounces (Round to two decimal places as needed.)
The heights of women follow a normal distribution with a mean height of 63.7, and a standard deviation in height of 2.9 in. What height separates the shortest 5% of women from the rest. Round your result to 1 decimal place. 68.5 inches 65.4 inches None of these 58.9 inches -1.6 inches
Consider the given data set. n = 12 measurements: 9, 8, 1, 5, 5, 7, 5, 6, 8, 7, 2, 0 Find the mean. USE SALT Find the standard deviation. (Round your answer to four decimal places.) z = Find the z-score corresponding to the minimum in the data set. (Round your answer to two decimal places.) Find the z-score corresponding to the maximum in the data set. (Round your answer to two decimal places.) z = Do the z-scores indicate that there are possible outliers in the data set? Since the z-score for the larger observation is larger than 2 in absolute value, the larger value is unusually large. Since both z-scores exceed 2 in absolute value, both of the observations are unusual. Since neither z-score exceeds 2 in absolute value, none of the observations are unusually small or large. Since the z-score for the smaller observation is larger than 2 in absolute value, the smaller value is unusually small.
You would like to know the average hourly wage in your area. You ask 20 people, and find a sample mean of 8.50 dollars. The population standard deviation is 2.89 dollars. Assume that distribution is normal. a. Give a point estimate for the mean hourly wage.b. Give the 90% margin of error for the mean. c. Write a sentence about the results. The average hourly wage in my area is about ________, give or take _______.
The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 415 grams and a standard deviation of 23 grams. Find the weight that corresponds to each event. (Use Excel or Appendix C to calculate the z-value. Round your final answers to 2 decimal places.) a. Highest 20 percent b. Middle 60 percent to c. Highest 80 percent d. Lowest 15 percent
Find the standard deviation.. Round to one more place than the data 7,19,20,8,17, 14, 8, 20, 12 O A. 5.1 O B. 1.7 O C. 5.4 O D. 5.7
12. Stem and leaf Plot: (Sample )Variable: Gas $ Key: 12 = 1:2 1 : 2 2 : 3 : 4 : 5 : 55 6 : 7 : 88 8 : 9 12a. Use the above Stem and leaf plot and calculate the range. 12b. Use the above Stem and leaf plot and calculate the Quadratic Mean. 12c. Calculate the upper fence. 12d. Estimate the standard deviation.
For an Economics test the mean score is 100 and the standard deviation is 10, and for an Accounting test the mean score is 50 and the standard deviation is 4. You are given the test scores of a student who took both tests. Determine on which test the student had a better score. Enter E if the student did better on the Economics test Enter A if the student did better on the Accounting test Enter S if the student did relatively the same on both tests. A student scores 125.6 on the Economics test and 60.2 on the Accounting test. The student did better/same on test.
Use z scores to compare the given values. The tallest living man at one time had a height of 239 cm. The shortest living man at that time had a height of 133.8 cm. Heights of men at that time had a mean of 174.58 cm and a standard deviation of 6.12 cm. Which of these two men had the height that was more extreme? Question content area bottom Part 1 Since the z score for the tallest man is z=enter your response here and the z score for the shortest man is z=enter your response here, the ▼ shortest tallest man had the height that was more extreme. (Round to two decimal places.)
Find the range, the standard deviation, and the variance for the given samples. Round non-integer results to the nearest tenth.2.1, 2.3, 2.6, 4.1, 4.2, 1.8

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