Therefore, the p-value comes out to be 0.0296.
A confidence interval is the range of approximations for an unknown variable in frequentist statistics. The most common confidence level for computing confidence intervals is 95%, however other levels, including 90% or 99%, are sporadically employed.
Here,
null and alternative hypothesis is,
null hypothesis : p < 0.90
alternate hypothesis : p ≥ 0.90
a)
To make this hypothesis two tailed, statement should be
well-known brokerage firm executive claimed that 90% of investors are currently confident of meeting their investment goals. An XYZ Investor Optimism Survey, conducted over a two-week period, found that in a sample of 800 people, 88% of them said they are confident of meeting their goals.
b)
Here, test statistics is,
Z=[tex]\frac{p'-p}{\sqrt{p(1-p)/n} }[/tex]
=(0.88-0.90)/√0.90×(1-0.90)/800
=-1.886
c)
p-value is 0.0296
Therefore, the p-value comes out to be 0.0296.
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