In: Statistics and Probability
ADHD? OR JUST YOUNGEST IN THE CLASS?
A study1 indicates that the youngest children in a
school grade are more likely to be diagnosed with
attention-deficit/hyperactivity disorder (ADHD) than their older
peers in the same grade. The study involved 937,943children between
6 and 12 years old in British Columbia, Canada. The cutoff date for
entering school in any year in British Columbia is December
31st, so in any given class, those born late in the year
are almost a year younger than those born early in the year. Is it
possible that the younger students are being over-diagnosed with
ADHD?
Boys: ADHD or Just Young?
The table below shows the number of boys diagnosed with ADHD based
on the quarter of the year in which they were born, as well as the
proportion of boys born during that quarter.
Birth Date | ADHD Diagnoses | Proportion of Births |
---|---|---|
Jan-Mar | 6880 | 0.244 |
Apr-Jun | 7982 | 0.258 |
Jul-Sep | 9161 | 0.257 |
Oct-Dec | 8945 | 0.241 |
Table 1 ADHD diagnoses and birth date for boys
1Morrow, R., et al., “Influence of relative age on
diagnosis and treatment of attention-deficit/hyperactivity disorder
in children,” Canadian Medical Association Journal, April
17, 2012; 184(7): 755–762.
(a) What is the total number of boys diagnosed with ADHD in the
sample?
Total number of boys = _____________________
(b) For the null hypothesis, use the overall proportion of
births in a quarter to give the null proportion for that quarter.
Compute the expected number of ADHD diagnoses for each quarter
under this hypothesis.
Round your answers to one decimal place.
Jan-Mar = _____________
Apr-Jun = _____________
Jul-Sep = _____________
Oct-Dec = _____________
(c) Compute the χ2-statistic.
Round your answer to one decimal place.
χ2 = _____________
(d) Give the degrees of freedom and find the
p-value.
Enter the exact answer for the degrees of freedom, and round your
answer for the p-value to three decimal places.
df= _____________
p-value = _____________
(e) State the conclusion of the test.
There is very strong evidence that ADHD diagnoses are related to relative age.
There is some evidence that ADHD diagnoses are related to relative age.
ADHD diagnoses do not seem to be related to relative age in school.
(f) For which group of children does ADHD appear to be diagnosed more frequently than we would expect? Select the group that provides the greatest indication of this.
Jan-Mar
Apr-Jun
Jul-Sep
Oct-Dec
(g) For which group of children does ADHD appear to be diagnosed less frequently than we would expect? Select the group that provides the greatest indication of this.
Jan-Mar
Apr-Jun
Jul-Sep
Oct-Dec
a) total number of boys diagnosed with ADHD in the sample = 6880+7982+9161+8945 = 32968
b) Expected frequencies
Birth Date | ADHD Diagnoses | Proportion of Births (p) |
EXPECTED = p*32968 |
Jan-Mar | 6880 | 0.244 | 8044.2 |
Apr-Jun | 7982 | 0.258 | 8505.7 |
Jul-Sep | 9161 | 0.257 | 8472.8 |
Oct-Dec | 8945 | 0.241 | 7945.3 |
Total | 32968 | 1 |
c) Compute the χ2-statistic.
Observed | Expected | Difference | Difference Sq. | Diff. Sq. / Exp Fr. | |
Jan-Mar | 6880 | 8044.2 | -1164.20 | 1355361.64 | 168.49 |
Apr-Jun | 7982 | 8505.7 | -523.70 | 274261.69 | 32.24 |
Jul-Sep | 9161 | 8472.8 | 688.20 | 473619.24 | 55.90 |
Oct-Dec | 8945 | 7945.3 | 999.70 | 999400.09 | 125.79 |
χ2-statistic. = 168.49+32.24+55.90+125.79 = 382.4
d) Degrees of freedom = number of quarters -1 = 4-1 = 3
p-value is < .0001
e) Since p-value is lessthan alpha 0.05 we reject null hypothesis and conclude that There is very strong evidence that ADHD diagnoses are related to relative age.
f) Oct-Dec group of children does ADHD appear to be diagnosed more frequently than we would expect.
g) Jan-Mar group of children does ADHD appear to be diagnosed less frequently than we would expect