Age and Vocabulary Researchers claim that there is significant positive linear correlation between population age and vocabulary based on a sample of nine children with correlation coefficient r = 0.841. Test this claim at the 95% confidence level. Select one for each blank.
(a) Hypotheses:
H0: [r, rho, x, mu] [=, >=, <=, >, >] 0
Ha: [r, rho, x, mu] [=, >=, <=, >, <] 0
(b) Type of test: [Two sided, Right sided, Left sided]
(c) Choice of distribution: [normal, t-distribution, chi-squared distribution]
(d) Critical value: [1.645, 1.860, 1.895, 1.96, 2.306, 2.365]
(e) Test statistic value: [0, 0.05, 0.841, 0.95, 1] .Standardized test statistic value: [0.841, 1.96, 2.435, 4.113, 6.289]
(f) Reject or fail to reject: Since the standardized test value is [equal to, greater than, less than] the critical value, we [reject, fail to reject, prove, support] the null.
(g) Interpret: There is enough evidence at the 5% significance level to [support, reject] the claim that there is a significant positive linear correlation between age and vocabulary.
r=0.841
n=9
95% confidence level
a)
H0: rho= 0
Ha: rho>0
b)
Type of test: right sided one tail test
c)
t-distribution
d)df=n−2=9−2=7
alpha=0.05
right tail
Critical value:2.365
e)
.Standardized test statistic value-
f)
Reject null hypothesis
Since the standardized test value is greater than the critical value, we reject the null.
g)
Interpret: There is enough evidence at the 5% significance level to support the claim that there is a significant positive linear correlation between age and vocabulary
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