Answer:
Step-by-step explanation:
To Test :-
H0 :- P = 0.12
H1 :- P ≠ 0.12
P = X / n = 156/800 = 0.195
Test Statistic :-
Z = ( P - P0 ) / ( √((P0 * q0)/n)
Z = ( 0.195 - 0.12 ) / ( √(( 0.12 * 0.88) /800))
Z = 6.5279
Test Criteria :-
Reject null hypothesis if Z > Z(α/2)
Z(α/2) = Z(0.05/2) = 1.96
Z > Z(α/2) = 6.5279 > 1.96, hence we reject the null hypothesis
Conclusion :- We Reject H0
There is sufficient evidence to support the claim that there is a difference.
It is true that the confidence intervals for the mean provide an estimate for where the true mean lies.
In statistics, a confidence interval denotes the likelihood that a population parameter will fall between a set of values for a given proportion of the time. A confidence interval depicts the likelihood that a parameter will fall between two values near the mean. Confidence intervals quantify the degree of uncertainty or certainty in a sampling procedure.
The mean is a basic mathematical average of two or more values. There are two sorts of means that may be calculated: the arithmetic mean and the geometric mean. A mean tells you the average of a bunch of values, which helps you contextualize each data point.
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Answer:
x = 8/5
Step-by-step explanation:
Cross multiply
5(x + 2) = 3 * 6
5x + 10 = 18
5x = 8
x = 8/5
Answer:
y = -3x+-1/5
Step-by-step explanation:
