Chapter 1 Statics

Which of the following are attributes of a continuous quantitative variable? Choose all that apply. -It is typically the result of measuring something. -It can only be represented by integer values. -There are no required gaps between values. -It can take on any value within a range of values.

It is typically the result of measuring something. There are no required gaps between values. It can take on any value within a range of values.

How does statistics help us understand large amounts of numerical information? A.Statistics replaces facts with numbers, and lets us use mathematics to make decisions. B. A good working knowledge of statistics is useful to organize and summarize information. C. Statistics lets us search large data bases for individual pieces of data.

A good working knowledge of statistics is useful to organize and summarize information. *Arithmetic must never be used to replace judgment! Statistics is a summarizing/analyzing tool, not a searching/querying tool.*

Which of the following is the best definition of a statistical sample? -The arithmetic mean of a set of measurements. -A portion, or part of the population of interest. -The entire set of individuals or objects or measurements of interest. -This is the definition of a population. A random selection of 20 people to buy coffee at Mike's on Friday.

A portion, or part of the population of interest.

Which one of the following is a population in the statistical sense? -The amount purchased by every 25th customer at Best Buy on Saturday. -A handful of jelly beans from a jar of mixed flavors. -All of the automobiles sold in Canada in 2016. -Every eighth person on the class roster.

All of the automobiles sold in Canada in 2016., This is not a population because it does not include the entire set of customers on Saturday.

Which of the following is not part of the science of statistics? -Presenting data in a clear way. -Analyzing data. -Collecting and organizing data. Interpreting data to assist in decision making. -Choosing data that supports your conclusion.

Choosing data that supports your conclusion., The conclusion should be reached after the data has been collected and analyzed, not before.

Which of the following are example of inferential statistics? Select all that apply. -Placing the prices of houses for sale in April in Boston in rank order. -Estimating the average weight in a box of apples by measuring the weight of five apples. -Making a bar chart from a set of data. Reason: -Counting the blue candies in a package of M&M's as a way to estimate the proportion of blue candies in all packages.

Estimating the average weight in a box of apples by measuring the weight of five apples. Counting the blue candies in a package of M&M's as a way to estimate the proportion of blue candies in all packages.

Descriptive statistics uses the data to make inferences and predictions about a population based on a sample of data taken from the population in question.

False, Inferential statistics makes predictions about a population based on a sample of data taken from the population.

True or false: The primary purpose of statistics is to present numerical data.

False, Statistics is about collecting and processing information to provide a basis for decision making.

What is inferential statistics? -Methods of estimating a property of a population based on a sample. -Methods of organizing and presenting data. - Methods of calculating summary statistics from a set of data.

Methods of estimating a property of a population based on a sample.

What is descriptive statistics?

Methods of organizing, summarizing, and presenting data in an informative way.

Which of the following are examples of how organizations use statistics? A. A consumer uses the nutrition information on a package of snack chips to make a purchase decision. B. Retailers use product purchase data to manage the distribution of products and make marketing and sales decisions. C. Google uses search engine data records to prioritize results for future searches.

Retailers use product purchase data to manage the distribution of products and make marketing and sales decisions. Google uses search engine data records to prioritize results for future searches.

Which of the following are reasons to study statistics? Select all that apply -Statistical knowledge is needed to understand the world and be conversant in your career. -Statistics are used to make personal and professional decisions -Data is collected everywhere, and statistics is needed to translate that data into useful information. -Complex statistics will impress those who are less knowledgeable.

Statistical knowledge is needed to understand the world and be conversant in your career. Statistics are used to make personal and professional decisions Data is collected everywhere, and statistics is needed to translate that data into useful information.

Which three of the following are samples in the statistical sense? -Ten apples selected from a grocery store bin containing 100 apples. -Six randomly chosen books from the library. -Every eighth person on the class roster. -In a study of students at the University of Iowa, all of the enrolled students.

Ten apples selected from a grocery store bin containing 100 apples. Six randomly chosen books from the library. Every eighth person on the class roster.

Which of the following is the best definition of a statistical population? -A portion or part of a set of objects or measures of interest. -A portion or part of a set of objects or measures of interest. -The number of people living in a particular city. -The entire set of individuals, objects or measurements of interest.

The entire set of individuals, objects or measurements of interest.

Which of the following is the best definition of a statistical population? -The entire set of individuals, objects or measurements of interest. -The set of all types of statistics that can be listed for a group of individuals or objects. -A portion or part of a set of objects or measures of interest. -The number of people living in a particular city.

The entire set of individuals, objects or measurements of interest.

Which of the following examples are statistics? Select all that apply. A. The median price of a house in Detroit. B. Yesterday's share price for Proctor and Gamble stocks. C. The number of home runs in last year's World Series. D. The typical genre of music played on KCFR.

The median price of a house in Detroit. B. Yesterday's share price for Proctor and Gamble stocks. C. The number of home runs in last year's World Series.

Which of the following are discrete variables? Choose all that apply. -The number of cars for sale on a used car lot. -The height of trees in Central Park. -The number of customers using an ATM on a given day. -The amount of time a student studied for a test.

The number of cars for sale on a used car lot. The number of customers using an ATM on a given day.

Identify all of the following items which are quantitative variables. -The weight of a Siamese cat. -The major of a college graduate. -The miles per gallon for a particular model of car. The color of a person's eyes.

The weight of a Siamese cat. The miles per gallon for a particular model of car.

Which of the following are attributes of a discrete quantitative variable? Choose all that apply. Multiple select question. -There are gaps between the values of this variable. -It can take on any value within a range of values. -It can assume only certain values within a range. -It can be used to count items.

There are gaps between the values of this variable. It can assume only certain values within a range. It can be used to count items.

How has technology increased the need for statistical analysis? -Technology has made our lives simpler in many ways. -Computers make it easy to calculate statistical information. -Vast amounts of data are collected, and understanding it requires statistical knowledge.

Vast amounts of data are collected, and understanding it requires statistical knowledge.

Identify all of the following items which are qualitative variables? -The species of trees in a park. -The number of cookies in a package of Oreo's. -A person's favorite food type. -The colors in a package of M&M's.

the species of trees in park, The colors in a package, a persons favorite favorite food type.