Statistics: Chapter 1

What do we call a part of a population used to describe the whole group? Variance Parameter Population Sample Statistic

Sample

What is a part of a population used to describe the whole group? Statistics Inference Population Parameter Sample

Sample

What are the characteristics of a sample used to infer information about the population? Sample Parameter Population Variance Statistic

Satistic

Marco is conducting an experiment on training certain breeds of dogs. He wants to know how long, on average, it would take to teach a Labrador to fetch an object. He gets a group of dogs to conduct his experiment. 5 of the dogs are Labradors and 3 of the dogs are Dalmatians. What is the population and sample in this experiment? The population is all Labradors, and the sample is the 8 dogs that Marco trained. The population is all Labradors, and the sample is the 5 Labradors that Marco trained. The sample is all Labradors, and the population is the 5 Labradors that Marco trained. The sample is all Labradors, and the population is the 8 dogs that Marco trained. Next

The population is all Labradors, and the sample is the 5 Labradors that Marco trained.

Analyze the following statements and indicate which one best describes the difference between the population and the sample. In statistics, the terms population and sample are synonymous with one another and can be used interchangeably. The sample is all members of a specified group while the population is the part of a sample used to describe the whole group. The population is all members of a specified group while the sample is the part of a population used to describe the whole group. The population is all members of a formal organization while the sample is the members of the organization who volunteer to participate in the study.

The population is all members of a specified group while the sample is the part of a population used to describe the whole group.

Why might a researcher use a sample rather than an entire population for their study? Using a sample is more accurate than using an entire population. Using a sample is more respected than using an entire population. Using a sample is more practical than using an entire population. Using a sample is more complicated than using an entire population.

Using a sample is more accurate than using an entire population.

In statistics, a sample: Is another word for population. Can be used for inferences but not for predictions. Is only used in descriptive statistics. Is a set of data taken from the population to represent the population.

Is a set of data taken from the population to represent the population.

Sandra is selling her new line of all natural make-up products and wants to know the popularity of certain colors among teenagers. She hands out a survey to all of the students in her teenage daughter's class and asks them to identify their favorite make up colors. Which is the population and which is the sample in this scenario? The population is all teenagers, and the sample is the teenagers in Sandra's daughter's class. The sample is all teenagers, and the population is the teenagers in Sandra's daughter's class. The population is all teenagers at the school, and the sample is the teenagers in Sandra's daughter's class. The population is all 9th graders in the class, and the sample is the teenagers in Sandra's daughter's class.

The population is all teenagers, and the sample is the teenagers in Sandra's daughter's class.

Elizabeth is waiting for her flight at the airport. She decides to conduct an experiment. She wants to know how many people at the airport carry a laptop with them for their flight. She sees 50 people walk past her as she waits. Thirty of those people are carrying laptops. What is the population and sample in this scenario? The population is everyone at the airport, the sample is the 30 people that were carrying a laptop. The population is the 50 people that walked by Elizabeth, the sample is the 30 people that were carrying a laptop. The sample is everyone at the airport, the population is the 50 people that walked by Elizabeth. The population is everyone at the airport, the sample is the 50 people that walked by Elizabeth.

The population is everyone at the airport, the sample is the 50 people that walked by Elizabeth.

What do we call the characteristics of a sample used to infer information about the population? Statistic Population Sample Parameter Inference

statistic

Which of the following answers is an example of continuous data? 1 apple 3 pies 3.14 cm 10 tests 4 zebras

3.14 cm

Select the statement that represents discrete quantitative data. 83 is my favorite number. 7 people came to my party My sister weighs 65.2 pounds 71 is a prime number

7 people came to my party

Which of the following answers is an example of discrete data? 58 km 120 pounds 15 miles 1.12 inches 8 puppies

8 puppies

Katie is collecting data about the number of people that are interested in different dance styles. After passing out a survey, she has gathered the following information: Style / Number of people interested in this style Ballet / 20 Jazz /12 Hip Hop / 8 Lyrical / 26 Tap / 10 What type of data did Katie collect? Qualitative Rhetorical Quantitative Categorical Cluster sampling

Categorical

What is data that is collected in groups or topics, where the number of events in each group is counted numerically? Stratified sampling Numerical data Quantitative data Cluster sampling Categorical data

Categorical data

How do descriptive and inferential statistics differ? Inferential statistics are more computationally sophisticated than descriptive statistics. Descriptive statistics are more computationally sophisticated than inferential statistics. Descriptive statistics only attempt to describe data, while inferential statistics attempt to make predictions based on data. Inferential statistics only attempt to describe data, while descriptive statistics attempt to make predictions based on data.

Descriptive statistics only attempt to describe data, while inferential statistics attempt to make predictions based on data.

What are two examples of inferential statistics? Range and percentiles. Mean and probability distributions. Variance and correlation. Regression analysis and hypothesis testing.

Regression analysis and hypothesis testing.

One trick to finding out if the information is categorical or quantitative is to analyze the answer to the question. Which of the following is TRUE: If the answer to the question is numerical, then the information is categorical. If the answer to the question is a characteristic, preference, etc., then the information is quantitative. If the answer to the question is numerical, then the information is quantitative. If the answer to the question is a characteristic, preference, etc., then the information is categorical. If the answer to the question is a characteristic, then the information is quantitative. If the answer to the question is a number, preference, etc., then the information is categorical. If the answer to the question is an interest, then the information is quantitative. If the answer to the question is a characteristic, preference, etc., then the information is categorical.

If the answer to the question is numerical, then the information is quantitative. If the answer to the question is a characteristic, preference, etc., then the information is categorical.

Which of the following statements is NOT quantitative data? We sold 412 cakes at the fund raiser. Mark ordered one hundred donuts for the meeting. Last night's gathering was ten times better than last week's. The cement block weighs 512.2 pounds. The bakery baked 300 cupcakes.

Last nights gathering was ten times better than last week's

Which two are examples of descriptive statistics? Median and correlation. Variance and regression analysis Hypothesis testing a histograms Mean and standard deviation

Mean and standard deviation

What is statistical estimation? Methods for rounding answers in statistical calculations. Methods for reducing errors in descriptive statistics Methods for reducing errors in inferential statistics. Methods to determine the best graph to represent statistical data.

Methods for reducing errors in inferential statistics.

What are the characteristics used to describe a population? Population Variance Sample Parameter Statistic

Parameter

What are the characteristics used to describe a population? Sample Statistics Inferences parameteres Populations

Parameters

What do we call all the members of a specified group? Population Statistic Sample Inference parameter

Population

Julie wants to understand the growth rates of children in kindergarten. She asks a local elementary school for their help, and she takes the measurements of 45 kindergartners throughout the year. She finds that the children grow at a rate of 2-4 inches over the year, while the national research shows that children of that age grow at a rate of 2-3 inches per year. Identify the population, sample, statistic, and parameter in this scenario. Population: all kindergarten children Sample: all of the children at the elementary school Statistic: 2-3 inches per year Parameter: 2-4 inches per year Population: all kindergarten children Sample: the 45 children at the elementary school Statistic: 2-4 inches per year Parameter: 2-3 inches per year Population: all kindergarten children Sample: all of the children at the elementary school Statistic: 2-4 inches per year Parameter: 2-3 inches per year Population: the 45 children at the elementary school Sample: all kindergarten children Statistic: 2-4 inches per year Parameter: 2-3 inches per year Population: the 45 children at the elementary school Sample: all kindergarten children Statistic: 2-3 inches per year Parameter: 2-4 inches per year

Population: all kindergarten children Sample: the 45 children at the elementary school Statistic: 2-4 inches per year Parameter: 2-3 inches per year

Brown school has decided to review their ratio of girls to boys in the Second grade class. They decided to count the number of boys in Second grade. This is an example of what type of data? Discrete and continuous Qualitative and continuous Measured and graphed Quantitative and continuous Quantitative and discrete Next

Quantitative and discrete

David wants to collect information about his friends and how many siblings they each have. David has eight friends. How should he collect this data? Why? Quantitatively: Since David isn't dealing with a large amount of information, he can simply ask each friend and analyze the data quantitatively. Quantitatively: This information cannot be grouped into any categories. Categorically: Siblings are a category of information and so the data cannot be collected quantitatively. Categorically: David will need to group the number of siblings because there is too much data to collect individually. Next

Quantitatively: Since David isn't dealing with a large amount of information, he can simply ask each friend and analyze the data quantitatively.

' Aubree is trying to understand why a student would pick computer technology as a college major. 64% of the sample she surveyed said that they picked computer technology because of the vast employment opportunities. Her survey comes from 1200 students in 30 different colleges across the nation. Can we infer a parameter from this information? What would it be? Yes; the statistic is 1200, so we can infer that 1200 students are computer technology majors. Yes; the parameter is 30 of the colleges, so we can infer the same. No; 64% is not enough to create an inference. No; there are no statistics in this scenario. Yes; the statistic is 64% of computer technology majors choose the major because of the employment opportunities. We can infer that the parameter is the same.

Yes; the statistic is 64% of computer technology majors choose the major because of the employment opportunities. We can infer that the parameter is the same.