A random sample of ?=1000 registered voters and found that 520
would vote for the Republican candidate in a state senate race. Let
? represent the proportion of registered voters who would vote for
the Republican candidate.
Consider testing
?0:?=.50
??:?>.50
(a) The test statistic is ?z =
(b) Regardless of what you acutally computed, suppose your answer to part (a) was z = 1.28. Using this z, p-value =
Answer)
Null hypothesis Ho : P = 0.5
Alternate hypothesis Ha : P > 0.5
N = 1000
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 500
N*(1-p) = 500
Both the conditions are met so we can use standard normal z table to estimate the P-Value
Test statistics z = (oberved p - claimed p)/standard error
Standard error = √{claimed p*(1-claimed p)/√n
After substitution
Z = 1.26
B)
From z table, P(z>1.28) = 0.1003
P-value = 0.1003
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