Question

In: Statistics and Probability

The National Sleep Foundation used a survey to determine whether hours of sleeping per night are...

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 38 56 70 76 240
50 or older 30 56 71 103 260

Conduct a test of independence to determine whether the hours of sleep on weeknights are independent of age. Use  = .05. Use Table 12.4.

A.) Compute the value of the  2 test statistic (to 2 decimals).

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   %

Solutions

Expert Solution

Solution:-

State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.

H0: Age and hours of sleep on weeknights are independent.
Ha: Age and hours of sleep on weeknights are not independent.

Formulate an analysis plan. For this analysis, the significance level is 0.05. Using sample data, we will conduct a chi-square test for independence.

Analyze sample data. Applying the chi-square test for independence to sample data, we compute the degrees of freedom, the expected frequency counts, and the chi-square test statistic. Based on the chi-square statistic and the degrees of freedom, we determine the P-value.

DF = (r - 1) * (c - 1) = (2 - 1) * (4 - 1)
D.F = 3
Er,c = (nr * nc) / n


where DF is the degrees of freedom.

The P-value is the probability that a chi-square statistic having 3 degrees of freedom is more extreme than 4.23.

We use the Chi-Square Distribution Calculator to find P( > 4.23) = 0.238

Interpret results. Since the P-value (0.238) is greater than the significance level (0.05), we have to accept the null hypothesis.

Thus, we conclude that there is no relationship between Age and hours of sleep on weeknights.


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