If there is no seasonal effect on human births, one would expect equal numbers of children to be born in each season (winter, spring, summer, and fall). A student takes a census of her statistics class and finds that of the 120 students in the class, 26 were born in winter, 36 in spring, 32 in summer, and 26 in fall. She wonders if the excess in the spring is an indication that births are not uniform throughout the year. Complete parts a) through c) below.
a) What is the expected number of births in each season if there is no "seasonal effect" on births?
One should expect __ births in winter,__ in spring, __ in summer, and __in fall.
(Type whole numbers.)
b) complete the X^2 statistic to 2 decimals as needed
c) how many degrees of freedom does the X^2 stat have?
a)
One should expect 30 births in winter,_30_ in spring, _30 in summer, and 30_in fall.
b)
applying chi square test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
winter | 0.250 | 26 | 30.00 | -0.73 | 0.533 |
spring | 0.250 | 36 | 30.00 | 1.10 | 1.200 |
summer | 0.250 | 32 | 30.00 | 0.37 | 0.133 |
fall | 0.250 | 26 | 30.00 | -0.73 | 0.533 |
total | 1.000 | 120 | 120 | 2.400 |
chi square test statistic X2 =2.400
c)
degree of freedom =categories-1= | 3 |
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