a) Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below.

Mood levels, “happy”, “alright”, and “sad” Choose the correct answer below.

The nominal level of measurement is most appropriate because the data cannot be ordered.

The ordinal level of measurement is most appropriate because the data can be ordered, butdifferences (obtained by subtraction) cannot be found or are meaningless.

The ratio level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is anatural starting point.

The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point.

B)In a study of all babies born at hospitals in one state, it was found that the average (mean) weight at birth was 3199.2 grams. Identify whether this value is a statistic or a parameter. Choose the correct answer below

The value is a statistic because it describes some characteristic of a sample.

The value is a parameter because it describes some characteristic of a sample.

The value is a parameter because it describes some characteristic of a population

The value is a statistic because it describes some characteristic of a population.

(c) Identify the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below.

To determine her blood sugar level, Miranda divides up her day into three parts: morning, afternoon, and evening. She then measures her blood sugar level at 4 randomly selected times during each part of the day. What type of sampling is used?

Cluster

Stratified

Systematic

Random

Convenience

D) State whether the data described below are discrete or continuous and explain why.

The exact widths (in meters) of the streets of a certain city.

Choose the correct answer below.

The data are discrete because the data can only take on specific values.

The data are continuous because the data can take on any value in an interval.

The data are discrete because the data can take on any value in an interval.

The data are continuous because the data can only take specific values.