We conclude that garbage collector's average pickup is more than four tons of waste every day.
The following details are provided in relation to the issue:
We first create the null and alternative hypotheses.
Level of significance = 5% = 0.05
Value P = 0.04
The chance of getting the test's observed results, if the null hypothesis is true, is known as the p-value.
The strength with which the sample data support the null hypothesis is measured by its P value.
P-value is a metric or indicator that enables us to determine whether or not the sample is representative of the population.
The sample is a member of the population, according to the null hypothesis.
A high p-value indicates that the sample belongs and the null hypothesis is true.in relation to the populace.
A low p-value denotes that the sample has sufficient proof that the null hypothesis is false and that it does not represent the population.
To get at our conclusion, we compare p-value to significant threshold.
Here,
p-value = 0.04 and 0.05 is the significance level.
We are unable to accept the null hypothesis and reject it since the p-value is less than the significance level. As a result, we infer that the sample does not represent the population as a whole and that an average day's rubbish collection involves more than four tons of waste.
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# SPJ 1
