Suppose that the average time spent per day with digital media several years ago was 3 hours and 22 minutes. For last year, a random sample of 20 adults in a certain region spent the numbers of hours per day with digital media given in the accompanying table. Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a 90% confidence interval for last year's mean time spent per day with digital media by adults of the region. (Note: x=5.88hr and s=2.27hr.) The 90% confidence interval is from ( ? ) hour(s) to ( ? )hour(s). Interpret the 90% confidence interval. Select all that apply. A. There is a 90% chance that the mean amount of time spent per day on digital media last year by all adults in the region is between the interval's bounds. B.With 90% confidence, the mean amount of time spent per day on digital media last year by all adults in the region is between the interval's bounds. C.90% of all possible random samples of 20 adults in the region have mean amounts of time spent per day on digital media last year that are between the interval's bounds. D. 90% of all adults in the region spent amounts of time per day on digital media last year that are between the interval's bounds.

Name: 1 Suppose that the average time spent per day with digital media sever
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Description: 1 Suppose that the average time spent per day with digital media several years ago was 3 hours and 22 minutes. For last year, a random sample of 20 adults in a certain region spent the numbers of hours per day with digital media given in the accompa

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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1 Suppose that the average time spent per day with digital media several years ago was 3 hours and 22 minutes. For last year, a random sample of 20 adults in a certain region spent the numbers of hours per day with digital media given in the accompanying table. Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a

90% confidence interval for last year's mean time spent per day with digital media by adults of the region. (Note: x=5.88hr and s=2.27hr.)

The 90% confidence interval is from ( ? ) hour(s) to ( ? )hour(s).

Interpret the 90% confidence interval. Select all that apply.

A. There is a 90% chance that the mean amount of time spent per day on digital media last year by all adults in the region is between the interval's bounds.

B.With 90% confidence, the mean amount of time spent per day on digital media last year by all adults in the region is between the interval's bounds.

C.90% of all possible random samples of 20 adults in the region have mean amounts of time spent per day on digital media last year that are between the interval's bounds.

D. 90% of all adults in the region spent amounts of time per day on digital media last year that are between the interval's bounds.

3 Based on a recent study, the pH level of the arterial cord (one vessel in the umbilical cord) is normally distributed with mean7.23 and standard deviation of 0.11. Find the percentage of preterm infants who have the following arterial cord pH levels.

a. pH levels between 7.00 and 7.50.

(Round to two decimal places as needed.)

b. pH levels over 7.31.

(Round to two decimal places as needed.)

4. A variable of a population has a mean of μ=81 and a standard deviation of σ=7. a. Identify the sampling distribution of the sample mean for samples of size 49.

b. In answering part (a), what assumptions did you make about the distribution of the variable?

What is the mean of the sampling distribution?

What is the standard deviation of the sampling distribution?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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