21. A data professional is using scipy.stats.norm.interval() in Python to construct a confidence interval. Which of the following pieces of code can they use to choose a confidence level of 99%?
- alpha = 0.99
- scale = 0.99
- loc = 0.99
- std = 0.99
22. Which of the following statements accurately describe the graph of the t-distribution? Select all that apply.
- It has smaller tails than the standard normal distribution due to the larger dataset.
- As the sample size increases, the t-distribution approaches the normal distribution.
- It has a bell shape.
- It has a higher frequency of outliers due to the smaller dataset.
23. What concept describes the likelihood that a particular sampling method will produce a confidence interval that includes the population parameter?
- Sample statistic
- Point estimate
- Confidence level
- Margin of error
24. In the context of constructing a confidence interval of a population mean, what does the loc argument of the scipy.stats.norm.interval() function refer to?
- Interquartile rangeÂ
- Sample standard error
- Confidence level
- Sample mean
25. Which of the following statements accurately describe a point estimate? Select all that apply.
- A point estimate estimates a sample statistic.
- A point estimate uses a range of values.Â
- A point estimate estimates a population parameter.Â
- A point estimate uses a single value.
26. Fill in the blank: Because there is more uncertainty involved in estimating the standard error, data professionals use the _____ when working with a small sample size.
- t-distribution
- z-distribution
- s-distribution
- normal distribution