Final Answer:
(a) The population under consideration in the dataset is all adults in the United States who could not cover a $400 expense without borrowing money or going into debt.
(b) The parameter being estimated is the proportion of U.S. adults who could not cover a $400 expense without borrowing money or going into debt.
(c) The point estimate for the parameter is 0.428.
(d) The statistic to measure the uncertainty of the point estimate is the standard error.
(e) The value of the standard error for this context is 0.0161.
(f) A cable news pundit thinking the value is actually 50% would be surprised, as 0.50 is several standard errors away from the point estimate.
(g) If the true population value was 40%, using this proportion for the standard error computation would result in a significant change.
Step-by-step explanation:
(a) The data set considers all adults in the United States who could not cover a $400 expense without borrowing money or going into debt.
(b) The parameter being estimated is the proportion of U.S. adults with this financial inability.
(c) The point estimate is calculated as 326/762 ≈ 0.428.
(d) The standard error is a measure of the uncertainty of the point estimate.
(e) Compute the standard error using the formula for proportions, resulting in approximately 0.0161.
(f) If the pundit thinks the value is 50%, she should be surprised as it deviates significantly from the point estimate.
(g) If the true population value is 40%, using this proportion for the standard error would lead to a substantial change in the result.