Question

Is there strong evidence of global warming? Let's consider a small scale example, comparing how temperatures...

Is there strong evidence of global warming? Let's consider a small scale example, comparing how temperatures have changed in the US from 1968 to 2008. The daily high temperature reading on January 1 was collected in 1968 and 2008 for 51 randomly selected locations in the continental US. Then the difference between the two readings (temperature in 2008 - temperature in 1968) was calculated for each of the 51 different locations. The average of these 51 values was 1.1 degrees with a standard deviation of 4.9 degrees. We are interested in determining whether these data provide strong evidence of temperature warming in the continental US

Is there a relationship between the observations collected in 1968 and 2008? Or are the observations in the two groups independent? Explain

Write hypotheses for this research in symbols and in words.

Check the conditions required to complete this test.

Calculate the test statistic and find the p-value.

What do you conclude? Interpret your conclusion in context.

Based on the results of this hypothesis test, would you expect a confidence interval for the average difference between the temperature measurements from 1968 and 2008 to include 0? Explain your reasoning.

Calculate the 90%, 95%, 99% Confidence Interval. Is this result surprising based on your answer to the previous question? Why/Why not?

Homework Answers

Answer #1

(a)

Here have have 51 paired observations. It is an example of depedent sample t test.

(b)

The hypotheses are:

Null hypothesesis, H0: There is no signficant difference between the temperatures.

Aternative hypothesesis, Ha: There is a signficant difference (positive) between the temperatures.

(c)

Here paired sample t test will be used. Since sample size is large so normality can be assumed.

That is condition for the test are fullfilled.

(d)

Given info;

So test statistics will be

Degree of freedom: df=n-1=51-1=50

The p-value is : 0.0579

(e)

Since p-value is greater than 0.05 so we fail to reject the null hypothesis.

That is we cannot conclude that there is evidence of temperature warming in the continental US.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let's consider a small scale example, comparing how temperatures have changed in the US from 1968...
Let's consider a small scale example, comparing how temperatures have changed in the US from 1968 to 2008. The daily high temperature reading on January 1 was collected in 1968 and 2008 for 51 randomly selected locations in the continental US. Then the difference between the two readings (temperature in 2008 - temperature in 1968) was calculated for each of the 51 different locations. The average of these 51 values was 1.1 degrees with a standard deviation of 4.9 degrees....
Climate change part II. We considered the differences between the temperature reading in Jan of 1968...
Climate change part II. We considered the differences between the temperature reading in Jan of 1968 and 2008 at 51 locations in the continental US in exercise 4.9 The mean and standard deviation of the reported differences are 1.1 degrees and 4.9 degrees Caculate a 95% CI for the average difference between the temperature measurements between 1968 and 2008. Interpret that this interval in context does the CI provide convincing evidence that the temperature was different in 2008 Interpret this...
ON GRAPHING CALCULATOR PLEASE 7. A survey of 50 people was conducted to compare their self-reported...
ON GRAPHING CALCULATOR PLEASE 7. A survey of 50 people was conducted to compare their self-reported height to their actual height. The difference between reported height and actual height was calculated. You're testing the claim that the mean difference is greater than 1.3. From the sample, the mean difference was 1.6, with a standard deviation of 0.44. Calculate the test statistic, rounded to two decimal places 9. We considered the differences between the temperature readings in January 1 of 1968...
In the month of january researchers have been collecting samples from ten locations for practically all...
In the month of january researchers have been collecting samples from ten locations for practically all days of the month (30 days). The average was reported to be 55 degrees and the standard deviation was 11 degrees. Create: a) A 95% confidence interval using a normal distribution around the mean. b) A 90% confidence interval using a normal distribution around the mean. month of Jamuary researchers have been collecting samples from ten locations for practically all days of the month...
Show your work. Carry out all calculations to at least 3 significant digits. Please show your...
Show your work. Carry out all calculations to at least 3 significant digits. Please show your work Marketing strategists like to study the differences (in, e.g., age and income) between buyers and non-buyers of a product. In an earlier study of the purchasers and non-purchasers of a product sold by the AAA Company, demographic data were collected. Their age profiles (in years) are summarized and reported as follows: Purchasers Sample size 900 Sample mean 43.8 Sample standard deviation 14.6 Non-Purchasers...
You are a field engineer working for Far North Arctic Insulates Inc. Your company has come...
You are a field engineer working for Far North Arctic Insulates Inc. Your company has come up with a new insulation material to be used under road beds to keep the permafrost from warming during the summer months. Since this material is quite costly, you want to be able to use the least amount of material (i.e., smallest thickness possible). You have collected the following temperature data (in degrees-Fahrenheit) from thermistor readings at a depth of seven feet at eight...
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean...
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean always equals the population mean. The average sample mean, over all possible samples, equals the population mean. The sample mean will only vary a little from the population mean. The sample mean has a normal distribution. 2.Which of the following statements is CORRECTabout the sampling distribution of the sample mean: The standard error of the sample mean will decrease as the sample size increases....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT