Suppose data about the average number of hours people spend on social media websites at work israndomly collected for 5 days: 5.1 4.8 2.5 4.3 2.4 If we assume this population is normally distributed, construct an 99% confidence interval for the population average amount of time people spend on social media websites at work.Suppose I want to know more about how workers spend their time throughout the day. I want to find evidence to disprove the claim that people spend less than 3 hours a day (during their workday) on social media. Test this claim (significance level =0.10). Do not use Excel

Data X 5.1 4.8 2.5 4.3 2.4 We have to find 1..construct an 99% confidence interval for the…

Answered: Suppose data about the average number…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Suppose data about the average number of hours people spend on social media websites at work is

randomly collected for 5 days:

5.1 4.8 2.5 4.3 2.4

If we assume this population is normally distributed, construct an 99% confidence interval for the population average amount of time people spend on social media websites at work.
Suppose I want to know more about how workers spend their time throughout the day. I want to find evidence to disprove the claim that people spend less than 3 hours a day (during their workday) on social media. Test this claim (significance level =0.10).

Do not use Excel

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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