According to the given data The value of p is
(alpha) so reject H₀
<h3>What does it mean to have a left-tailed hypothesis?</h3>
A left-tailed test is used when the alternative hypothesis claims that the true value of the parameter suggested by the null hypothesis is lower than the null hypothesis implies. If the sample being tested is within the one-sided critical zone, the alternative hypothesis will be accepted rather than the null hypothesis.
Financial analysts employ the one-tailed test to confirm an investment or portfolio hypothesis.
If our statistical analysis finds that the significance level is smaller than the set cut-off value, we reject the null hypothesis and accept the alternative hypothesis (for example, either 0.05 or 0.01).
z = -1.81alpha
= 0.1p 
= 0.0351 ( from z table )P <
alpha, reject H₀
When the p-value is less than or equal to alpha, hypothesis H0 is rejected;
however,
if the p-value is greater than alpha, hypothesis H0 is not rejected.
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