To obtain a complete response, the diagram would be essential. However, to approximate the solution, I'd calculate the distances from her home to her school and combine that with the stretch from school to work, and finally, from work back home. If there’s no information regarding the distance from work to home, I’d simply double the traveled distance already accounted for.
a. The point estimate for the population mean is b. The confidence interval at 80% is c. This means there is an 80% probability that the true mean of the population lies within the given confidence interval.
Response:
Option B is correct
Step-by-step breakdown:
(One-tailed test at a significance level of 5%)
n = 16 and x̄ = 1.97
s = 0.1
Standard error of the mean = 
Difference in means = 
t statistic = Difference in means/se = -1.2
degrees of freedom = 16 - 1 = 15
p-value = 0.124375
(B) do not reject the null hypothesis since the test statistic (-1.2) is > the critical value (-1.7531).
Response:
Correlation.
In-depth explanation:
When the goal is to determine the connection between two or more variables to assess the impact of one variable (the independent one) on another variable (the dependent one), this is referred to as a correlation study or analysis. In this case, the link between employee shifts and sales or productivity is analyzed; it shows how the number of shifts worked by a specific employee correlates positively with the revenue generated. Here, the shift worked by the employee acts as the independent variable while the generated revenue is the dependent one.
