3.A random sample of 100 car owners in Istanbul shows thatCar is used 23500 km per, year with Standand deviation of4200km. Assume distribution of measurements are normal.(4) What is the 99% Confidence interval ?)Construct a 99yo predichion interval for the km taveledannually by aa Car Owner in stanbal.

Introduction: In statistics, a confidence interval refers to the probability that, for a certain…

3.A random sample of 100 car owners in Isteanbul shows that Car is used 23500 km per, year with Standand deviation of 4200km. Assume distribution of measuremants are normal. (4) What is the 9% Confidence interval ? (b) Construct a ggyl. predichion interval for the km traveles annually by a car OWner in Istanbal.

3.A random sample of 100 car owners in Isteanbul shows that Car is used 23500 km per, year with Standand deviation of 4200km. Assume distribution of measuremants are normal. (4) What is the 9% Confidence interval ? (b) Construct a ggyl. predichion interval for the km traveles annually by a car OWner in Istanbal.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose the mean height in inches of all 9th grade students at one high school is estimated. The population standard deviation is 2 inches. The heights of 9 randomly selected students are 66, 61, 75, 62, 61, 70, 65, 62 and 61. * = Ex: 12.34 Margin of error at 90% confidence level = Ex: 1.23 90% confidence interval = [Ex: 12.34 Ex: 12.34] [smaller value, larger value] Check Next 2
An SRS of 430 high school seniors gained an average of ?¯=21.34 points in their second attempt at the SAT Mathematics exam. Assume that the change in score has a Normal distribution with standard deviation ?=49.76. We want to estimate the mean change in score ? in the population of all high school seniors. (a) Using the 68 – 95 – 99.7 Rule or the ?-table (Table A), give a 99.7% confidence interval (?,?) for ? based on this sample. (Enter your answers rounded to three decimal places. If you are using CrunchIt, adjust the default precision under Preferences as necessary. See the instructional video on how to adjust precision settings.) ? : ? :
The mean of the commute time to work for a resident of a certain city is 28.3 minutes. Assume that the standard deviation of the commute time is 7.6 minutes to complete parts (a) through (c). a). what minimum percentage of commuter in the city has a commute time within 2 standard deviations of the mean?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 268 days and a standard deviation of 11 days. (a) What is the minimum pregnancy length that can be in the top 8% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 5% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 266 days and a standard deviation of 8 days. (a) What is the minimum pregnancy length that can be in the top 10%of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 3% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 266 days and a standard deviation of 11 days. (a) What is the minimum pregnancy length that can be in the top 9% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 5% of pregnancy lengths?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 270 days and a standard deviation of 12 days.(a) What is the minimum pregnancy length that can be in the top 8% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 4% of pregnancy lengths?
The National Center for Health Statistics reports that the mean systolic blood pressure for males 35 to 44 years of age is 128 with a standard deviation of 15. In a sample of 72 CSLA male faculty members in this age group a nursing faculty member found an average systolic blood pressure of 126. (1) State the null and alternative hypotheses for this study (2) What is the dependent and independent variable for this study (3) What test statistic/hypothesis test would you select to determine if the means are significantly difference at the alpha .05 level? (4) What critical value would you use to make your decision to reject or retain the null hypothesis at alpha .05?
The pregnancy length in days for a population of new mothers can be approximated by a normal distribution with a mean of 269 days and a standard deviation of 10 days. (a) What is the minimum pregnancy length that can be in the top 9% of pregnancy lengths? (b) What is the maximum pregnancy length that can be in the bottom 5% of pregnancy lengths?
An excess of high values for the cases distributed on a graph results in a positive skew in the data?