I dont need explain, just the answer. Thank you so muchhh.

Question 1:

Read each situation, and determine if we are comparing two samples or if we will use a one sample inference procedure.

a. ___ Many first-time marathoners have the goal of beating Oprah's marathon time of 4 hours and 29 minutes (or 269 minutes). Do we have evidence to show that the average finish time for a first-time marathoner faster than 269 minutes?

b. ___ What is the proportion of Netflix users who have watched "Avatar: The Last Airbender" series?

c. ___ Is there a difference in caffeine levels (in mg) between cup of coffee from Starbucks and a cup of coffee from Coffee Bean?

d. ___ How much more often do students who drive to school leave campus for lunch versus students who do not drive to school?

1. Inference for one mean
2. Comparing two means
3. Inference for one proportion
4. Comparing two proportions

Question 2:

Do you agree that there appears to be a discernable difference between the countries in North America and Europe? If so, what are some potential causes for this difference? If not, explain your reasoning.

Question 3:

Give a 99.8% confidence interval, for ?1??2 given the following information.

n1=50 , x1=2.63 , s1=0.79

n2=45 , x2=2.41 , s2=0.8

______ ______Use Technology Rounded to 2 decimal places.

Question 4:

Calculate the test-statistic,t with the following information.

n1=30 , x1=2.9 , s1=0.85

n2=50 , x2=3 , s2=0.43

Rounded to 2 decimal places.

________

Question 6:

You are testing the claim that the mean GPA of night students is different than the mean GPA of day students. You sample 30 night students, and the sample mean GPA is 3 with a standard deviation of 0.43 You sample 45 day students, and the sample mean GPA is 2.62 with a standard deviation of 0.6 Calculate the test statistic, rounded to 2 decimal places

_________

Question 7:

A hospital wants to know if the amount of bacteria in the carpeted rooms is greater than the amount of bacteria in the uncarpeted rooms. A sample of 26 carpeted rooms showed an average of 84.6 grams of bacteria per square foot, with a sample standard deviation of 9.3 grams, while a sample of 16 uncarpeted rooms showed an average of 81.2 grams of bacteria per square foot, with a sample standard deviation of 11.3 grams. Can we say that the amount of bacteria in the carpeted room (Population 1) is significantly greater than the amount of bacteria in the uncarpeted rooms (Population 2) with a significance level of ? = 0.02.

Step 1) Hypotheses/Stating the claims

The null and alternative hypotheses would be: H0: Select an answer p?/ ?? Select an answer / ? / = / > Select an answer p? / ?? HA: Select an answer ??/ p? Select an answer = / ? / / > Select an answer p? / ??

Step 2) Model/method selection

For this study, we should use Select an answer 1-PropZInt / 2-PropZInt / 2-PropZTest / ANOVA / 2-SampTInt / TInterval / 1-PropZTest / ?GOF-Test / 2-SampTTest / T-Test ?-Test

Step 3) Calculations

The test statistic = _____ (please show your answer to 3 decimal places.)

The p-value = _____ (Please show your answer to 4 decimal places.)

Step 4) Conclusion

The p-value is less than (or equal to) / greater than ?

Based on this, we should reject / accept the null / fail to reject the null hypothesis.

As such, the final conclusion is that ...

• The sample data suggests that the first population mean is not significantly greater than the second population mean at ?? = 0.02, so there is not sufficient evidence to conclude that the amount of bacteria in the carpeted room is greater than the amount of bacteria in the uncarpeted rooms.
• The sample data suggests that the first populaton mean is significantly greater than the second population mean at ?? = 0.02, so there is sufficient evidence to conclude that the amount of bacteria in the carpeted room is greater than the amount of bacteria in the uncarpeted rooms.

Question 5:

Two teams are comparing the speed of their runners. Each team ran a lap around a track, and their time in seconds was recorded. Although not a random sample, we can assume that their times are representative of each team's capabilities. We wish to see if there is evidence that Team 1 is faster (lower time) on average than Team 2.

Step 1) Write the hypotheses

You wish to test the following claim (HaHa) at a significance level of ?=0.02 Ho:?1=?2 Ha:?12

Step 2) Select method/procedure

A. 1 proportion z-test

B. 1 sample t-test

C. 2 proportion z test

D. 2 mean t-test

You obtain the following two samples of data.

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