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Introduction The purpose of this lab is to articulate any bias that your statistical study may have. The guiding questions below will help you dearly identify the research question, the population to be studied, the sampling methods, and the sample data. We will be studying a claim made by Mars Inc in 2008. They advertised that the color distribution of M&Ms should be as described in the table below. BLUE BROWN GREEN ORANGE RED YELLOW 24% 13% 16% 20% 13% 14% We will test this claim using the process of statistics. 1. Identify the research objective. 2. Collect the data needed to answer the question posed. 3. Describe the data collected.. 4. Perform inference. Our research question is "Is the Mars claim about blue M&Ms true?". We will be purchasing a 1.69oz bag of plain M&Ms from a local store to use as our sample. Guiding Questions 1. What is the population we are studying? 2. What parameter are we studying? 3. Is the type of variable we are studying qualitative or quantitative? 4. Are we conducting an observational or experimental study? 5. Is this a cross-sectional, case-control, or cohort study? 6. Are we using a simple random, stratified, systematic, cluster, or convenience sampling method? 7. In the table below, enter the counts of each color of M&Ms in your bag. Color Observed Count Blue Brown 6 Green 15 Orange 9 Red 7 Yellow 9 8. What statistic is relevant to the research question? Be as specific as possible. Summary 9. Write a paragraph explaining your sampling technique. Your explanation should be detailed enough that another person could replicate your technique. 10. Write a paragraph explaining what bias may be in your sample and what bias should not be in your sample because of your sampling technique. Be sure to clearly articulate how your methods affected any bias.

Introduction The purpose of this lab is to articulate any bias that your statistical study may have. The guiding questions below will help you dearly identify the research question, the population to be studied, the sampling methods, and the sample data. We will be studying a claim made by Mars Inc in 2008. They advertised that the color distribution of M&Ms should be as described in the table below. BLUE BROWN GREEN ORANGE RED YELLOW 24% 13% 16% 20% 13% 14% We will test this claim using the process of statistics. 1. Identify the research objective. 2. Collect the data needed to answer the question posed. 3. Describe the data collected.. 4. Perform inference. Our research question is "Is the Mars claim about blue M&Ms true?". We will be purchasing a 1.69oz bag of plain M&Ms from a local store to use as our sample. Guiding Questions 1. What is the population we are studying? 2. What parameter are we studying? 3. Is the type of variable we are studying qualitative or quantitative? 4. Are we conducting an observational or experimental study? 5. Is this a cross-sectional, case-control, or cohort study? 6. Are we using a simple random, stratified, systematic, cluster, or convenience sampling method? 7. In the table below, enter the counts of each color of M&Ms in your bag. Color Observed Count Blue Brown 6 Green 15 Orange 9 Red 7 Yellow 9 8. What statistic is relevant to the research question? Be as specific as possible. Summary 9. Write a paragraph explaining your sampling technique. Your explanation should be detailed enough that another person could replicate your technique. 10. Write a paragraph explaining what bias may be in your sample and what bias should not be in your sample because of your sampling technique. Be sure to clearly articulate how your methods affected any bias.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 42PFA
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Introduction The purpose of this lab is to articulate any bias that your statistical study may have. The guiding questions below will help you dearly identify the research question, the population to be studied, the sampling methods, and the sample data. We will be studying a claim made by Mars Inc in 2008. They advertised that the color distribution of M&Ms should be as described in the table below. BLUE BROWN GREEN ORANGE RED YELLOW 24% 13% 16% 20% 13% 14% We will test this claim using the process of statistics. 1. Identify the research objective. 2. Collect the data needed to answer the question posed. 3. Describe the data collected.. 4. Perform inference. Our research question is "Is the Mars claim about blue M&Ms true?". We will be purchasing a 1.69oz bag of plain M&Ms from a local store to use as our sample. Guiding Questions 1. What is the population we are studying? 2. What parameter are we studying? 3. Is the type of variable we are studying qualitative or quantitative? 4. Are we conducting an observational or experimental study? 5. Is this a cross-sectional, case-control, or cohort study? 6. Are we using a simple random, stratified, systematic, cluster, or convenience sampling method? 7. In the table below, enter the counts of each color of M&Ms in your bag. Color Observed Count Blue Brown 6 Green 15 Orange 9 Red 7 Yellow 9 8. What statistic is relevant to the research question? Be as specific as possible. Summary 9. Write a paragraph explaining your sampling technique. Your explanation should be detailed enough that another person could replicate your technique. 10. Write a paragraph explaining what bias may be in your sample and what bias should not be in your sample because of your sampling technique. Be sure to clearly articulate how your methods affected any bias.
Transcribed Image Text:Introduction The purpose of this lab is to articulate any bias that your statistical study may have. The guiding questions below will help you dearly identify the research question, the population to be studied, the sampling methods, and the sample data. We will be studying a claim made by Mars Inc in 2008. They advertised that the color distribution of M&Ms should be as described in the table below. BLUE BROWN GREEN ORANGE RED YELLOW 24% 13% 16% 20% 13% 14% We will test this claim using the process of statistics. 1. Identify the research objective. 2. Collect the data needed to answer the question posed. 3. Describe the data collected.. 4. Perform inference. Our research question is "Is the Mars claim about blue M&Ms true?". We will be purchasing a 1.69oz bag of plain M&Ms from a local store to use as our sample. Guiding Questions 1. What is the population we are studying? 2. What parameter are we studying? 3. Is the type of variable we are studying qualitative or quantitative? 4. Are we conducting an observational or experimental study? 5. Is this a cross-sectional, case-control, or cohort study? 6. Are we using a simple random, stratified, systematic, cluster, or convenience sampling method? 7. In the table below, enter the counts of each color of M&Ms in your bag. Color Observed Count Blue Brown 6 Green 15 Orange 9 Red 7 Yellow 9 8. What statistic is relevant to the research question? Be as specific as possible. Summary 9. Write a paragraph explaining your sampling technique. Your explanation should be detailed enough that another person could replicate your technique. 10. Write a paragraph explaining what bias may be in your sample and what bias should not be in your sample because of your sampling technique. Be sure to clearly articulate how your methods affected any bias.
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