Lab 5 - Compatibility Mode Saved v Search Layout References Mailings Review View Help A A Aa Po AA LAB Find W AaBbCcDa AaBbC AaBbCcDd Emphasis Heading 1 T Normal Replace Select V Paragraph Styles Confidence interval/Tests of Significance Editing Gas Prices Dictate In this activity, you will investigate the price of gasoline in the Dayton area. Part 1 - Estimate the mean price of regular gasoline in the Dayton area 1. What is the population you will be studying? 2. What is the population parameter that you are wanting to measure? 3. Think carefully about how you are going to get a good sample to calculate a sample mean. For example, driving around your neighborhood and writing down gas prices is an example of a convenience sample and should be avoided. Think of a more efficient way to collect gas prices that will also cover the whole Dayton area. Write a paragraph or two explaining how you collected your sample and why you think your sample is representative of Dayton gas prices. 4. What is the sample mean? 5. Construct a 95% confidence interval for the population mean price of gasoline in the Dayton area. If you haven't learned about the t-distribution, use σ = 0.075. 6. Explain what this confidence interval tells you. Part 2 - Compare your sample estimate to the current mean gas in the State of Ohio. 7. Find the mean price of gasoline in the State of Ohio. You might try using http://www.gasbuddy.com/USA. 8. What is the population for this part? (Hint: It's different than in Part 1.) 9. Set up a null and alternative hypothesis to see if your sample for Dayton is enough to prove that the population mean gasoline price in Dayton is different than the mean price in Ohio. Test the hypotheses. Show your work. If you haven't learned about the t- distribution, use σ = 0.075. 10. Using a = 0.05, what is your conclusion? redictions: On Accessibility: Unavailable Q Search 14 15 $ % LO 16 40 f8 6 & 8 144 chp P W Com Sensitivity Voice Sensitivity Focus

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 6SGR
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Lab 5 - Compatibility Mode Saved v
Search
Layout
References
Mailings
Review View Help
A A Aa
Po
AA
LAB
Find
W
AaBbCcDa AaBbC AaBbCcDd
Emphasis Heading 1 T Normal
Replace
Select
V
Paragraph
Styles
Confidence interval/Tests of Significance
Editing
Gas Prices
Dictate
In this activity, you will investigate the price of gasoline in the Dayton area.
Part 1 - Estimate the mean price of regular gasoline in the Dayton area
1. What is the population you will be studying?
2. What is the population parameter that you are wanting to measure?
3. Think carefully about how you are going to get a good sample to calculate a sample
mean. For example, driving around your neighborhood and writing down gas prices is an
example of a convenience sample and should be avoided. Think of a more efficient way
to collect gas prices that will also cover the whole Dayton area. Write a paragraph or two
explaining how you collected your sample and why you think your sample is
representative of Dayton gas prices.
4. What is the sample mean?
5. Construct a 95% confidence interval for the population mean price of gasoline in the
Dayton area. If you haven't learned about the t-distribution, use σ = 0.075.
6. Explain what this confidence interval tells you.
Part 2 - Compare your sample estimate to the current mean gas in the State of Ohio.
7. Find the mean price of gasoline in the State of Ohio. You might try
using http://www.gasbuddy.com/USA.
8. What is the population for this part? (Hint: It's different than in Part 1.)
9.
Set up a null and alternative hypothesis to see if your sample for Dayton is enough to
prove that the population mean gasoline price in Dayton is different than the mean price
in Ohio. Test the hypotheses. Show your work. If you haven't learned about the t-
distribution, use σ = 0.075.
10. Using a = 0.05, what is your conclusion?
redictions: On Accessibility: Unavailable
Q Search
14
15
$
%
LO
16
40
f8
6
&
8
144
chp P
W
Com
Sensitivity
Voice
Sensitivity
Focus
Transcribed Image Text:Lab 5 - Compatibility Mode Saved v Search Layout References Mailings Review View Help A A Aa Po AA LAB Find W AaBbCcDa AaBbC AaBbCcDd Emphasis Heading 1 T Normal Replace Select V Paragraph Styles Confidence interval/Tests of Significance Editing Gas Prices Dictate In this activity, you will investigate the price of gasoline in the Dayton area. Part 1 - Estimate the mean price of regular gasoline in the Dayton area 1. What is the population you will be studying? 2. What is the population parameter that you are wanting to measure? 3. Think carefully about how you are going to get a good sample to calculate a sample mean. For example, driving around your neighborhood and writing down gas prices is an example of a convenience sample and should be avoided. Think of a more efficient way to collect gas prices that will also cover the whole Dayton area. Write a paragraph or two explaining how you collected your sample and why you think your sample is representative of Dayton gas prices. 4. What is the sample mean? 5. Construct a 95% confidence interval for the population mean price of gasoline in the Dayton area. If you haven't learned about the t-distribution, use σ = 0.075. 6. Explain what this confidence interval tells you. Part 2 - Compare your sample estimate to the current mean gas in the State of Ohio. 7. Find the mean price of gasoline in the State of Ohio. You might try using http://www.gasbuddy.com/USA. 8. What is the population for this part? (Hint: It's different than in Part 1.) 9. Set up a null and alternative hypothesis to see if your sample for Dayton is enough to prove that the population mean gasoline price in Dayton is different than the mean price in Ohio. Test the hypotheses. Show your work. If you haven't learned about the t- distribution, use σ = 0.075. 10. Using a = 0.05, what is your conclusion? redictions: On Accessibility: Unavailable Q Search 14 15 $ % LO 16 40 f8 6 & 8 144 chp P W Com Sensitivity Voice Sensitivity Focus
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