The mean gasoline consumption of 10 cars is 28 liters with a standard deviation of 1.60 liters. Find the point and the interval estimate using 95% confidence level. 10. What is the confidence level? 11. What is the point estimate of f? 12. What is the appropriate distribution? 13. What are the confidence coefficients? 14. What is the maximum error E? 15. The lower limit is approximately:

The mean gasoline consumption of 10 cars is 28 liters with a standard deviation of 1.60 liters. Find the point and the interval estimate using 95% confidence level. 10. What is the confidence level? 11. What is the point estimate of f? 12. What is the appropriate distribution? 13. What are the confidence coefficients? 14. What is the maximum error E? 15. The lower limit is approximately:

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...

See similar textbooks

Similar questions

Heights for teenage boys and girls were calculated. The mean height for the sample of 51 boys was 183 cm and the variance was 66. For the sample of 71 girls, the mean was 173 cm and the variance was 61. There is no reason to assume the variances would be equal. Estimate how much taller teenage boys are using a 87% confidence level. Express this in the (point estimate) ± (margin of error) format. Round answers to 2 decimal places. H
Consider a value to be significantly low if its z score less than or equal to - 2 or consider a value to be significantly high if its z score is greater than or equal to 2. A test is used to assess readiness for college. In a recent year, the mean test score was 21.8 and the standard deviation was 5.1. Identify the test scores that are significantly low or significantly high. What test scores are significantly low? Select the correct answer below and fill in the answer box(es) to complete your choice. O A. Test scores that are less than (Round to one decimal place as needed.) O B. Test scores that are greater than (Round to one decimal place as needed.) C. Test scores that are between and (Round to one decimal place as needed. Use ascending order.)
Analyze the Data Given the following values. a. Min = 3 b. M = 16 c. Max = 50 d. 6 Q1 = Q3 = 25 e. f. IQR = 19 A Construct a box plot of data B What does the shape of the box plot imply about the concentration of data? Use complete sentences. C Using the box plot, how can you determine if there are potential outliers? D How does the standard deviation help you to determine concentration of the data and whether or not there are potential outliers? E What does the IQR represent in this problem?
Assume that the test scores for biostatistics midterm examination are normally distributed with a mean of 74 and a standard deviation of 10. i. Suppose that you receive a score of 88. What percent of the class received scores higher than yours? ii. Suppose that the teacher wants to limit the number of A grades in the class to no more than 20%. What would be the lowest score for an A?
3.2.41 The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 253.3 and a standard deviation of 66.3. (All units are 1000 cells/ul.) Using the empirical rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 120.7 and 385.9? Question Help ▼ b. What is the approximate percentage of women with platelet counts between 187.0 and 319,6? a. Approximately % of women in this group have platelet counts within 2 standard deviations of the mean, or between 120.7 and 385.9. (Type an integer or a decimal. Do not round.) Enter your answer in the answer box and then click Check Answer. Check Answer Clear All 1 part remaining MacBook Air %23 6. E R Q D M
Our environment is very sensitive to the amount of ozone in the upper atmosphere. The level of ozone normally found is 5.3 parts/million (ppm). A researcher believes that the current ozone level is at an excess level. The mean of 1030 samples is 5.4 ppm. Assume the standard deviation is known to be 1.1. Does the data support the claim at the 0.01 level? Step 4 of 5 : Enter the decision rule.
Apply the Empirical Rule to solve the following: The weight of a newborn manatee calf is normally distributed with a mean of 66 lbs and a standard deviation of 4 lbs. (Do NOT overuse the calculator on this problem. Apply the Empirical Rule.) a.Draw and label the normal curve. (Don’t forget the word label on the x-axis) b.What percent of manatee calves have a birth weight between 54 and 78 lbs? c. What percent of manatee calves have a birth weight of more than 74 lbs? d .What is the birth weight of the middle 68% of manatee calves? e. What percent of manatee calves weigh more than 58 lbs at birth? f. How much do the smallest 0.15% of manatee calves weigh at birth? g. What percent of manatee calves weigh less than 62 lbs at birth? h. What percent of manatee calves weigh 66 lbs or more at birth?
You want to know if a treated sample mean, M, is significantly different from some hypothesized mean, however, you do not have access to the popuation standard deviation, so you estimate it by computing the standard deviation of the sample. Which stats test do you run? a. z test for determining position of a score, x, in a population. b. one-sample t test. c. independent-samples t test. d. z test for determining the position of a mean, M, in a sampling distribution.
We want to obtain a sample to estimate a population mean. Based on previous evidence, researchers believe the population standard deviation is approximately �=76.4. We would like to be 95% confident that the estimate is within 0.5 of the true population mean. How large of a sample size is required?�=
Please only answer questions C and D
You would like to make an interval estimate of a population mean from a sample of size 25. Assume the population standard deviation is 6. Assuming 98% Confidence, what is the margin for error for the estimate.
please only answer 7.1