The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older. Hours of Sleep Age Fewer than 6 6 to 6.9 7 to 7.9 8 or more Total 49 or younger 32 60 72 76 240 50 or older 33 63 72 92 260 a. Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use a = .05. Use Table 12.4. Compute the value of the x 2 test statistic (to 2 decimals). The p value is Select What is your conclusion? Select b. Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal). Less than 6 hours 6 to 6.9 hours 7 to 7.9 hours % 8 or more hours %

The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (Newsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older. Hours of Sleep Age Fewer than 6 6 to 6.9 7 to 7.9 8 or more Total 49 or younger 32 60 72 76 240 50 or older 33 63 72 92 260 a. Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use a = .05. Use Table 12.4. Compute the value of the x 2 test statistic (to 2 decimals). The p value is Select What is your conclusion? Select b. Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal). Less than 6 hours 6 to 6.9 hours 7 to 7.9 hours % 8 or more hours %

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Description: The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (ewsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample ofindividuals age 49 and younger and fo

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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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The National Sleep Foundation used a survey to determine whether hours of sleeping per night are independent of age (ewsweek, January 19, 2004). The following show the hours of sleep on weeknights for a sample of
individuals age 49 and younger and for a sample of individuals age 50 and older.
Hours of Sleep
Age
Fewer than 6
6 to 6.9
7 to 7.9
8 or more Total
49 or younger
32
60
72
76
240
50 or older
33
63
72
92
260
a. Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use a = .05. Use Table 12.4.
Compute the value of the X 2 test statistic (to 2 decimals).
The p value is Select
What is your conclusion?
Select
b. Using the total sample of 500, estimate the percentage of people who sleep less than 6, 6 to 6.9, 7 to 7.9, and 8 or more hours on weeknights (to 1 decimal).
Less than 6 hours
%
6 to 6.9 hours
%
7 to 7.9 hours
%
8 or more hours

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