Questions
Can a low barometer reading be used to predict maximum wind speed of an approaching tropical...

Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cyclone? For a random sample of tropical cyclones, let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone.

x 1004 975 992 935 976 928

y 40 100 65 145 75 146

(b) Use a calculator to verify that Σx = 5810, Σx2 = 5,630,690, Σy = 571, Σy2 = 63,791 and Σxy = 546,403.

Compute R (round to 3 decimal places)

In: Statistics and Probability

A recent study attempted to estimate the proportion of Florida residents who were willing to spend...

A recent study attempted to estimate the proportion of Florida residents who were willing to spend more tax dollars on protecting the Florida beaches from environmental disasters. Forty-six hundred Florida residents were surveyed. 37% of those surveyed said they were willing to spend more tax dollars on protecting the Florida beaches from environmental disasters. The researcher concludes that about 37% of all Florida residents were willing to spend more tax dollars on protecting the Florida beaches.

1. What is the research objective?

2. Identify the population and the sample.

3. Identify the descriptive statistic.

4. Identify the inference/conclusion.

In: Statistics and Probability

The length of a species of fish is to be represented as a function of the...

The length of a species of fish is to be represented as a function of the age (measured in days) and water temperature (degrees Celsius). The fish are kept in tanks at 25, 27, 29 and 31 degrees Celsius. After birth, a test specimen is chosen at random every 14 days and its length measured.

Age

Temp

Length

1

14

25

620

2

28

25

1,315

3

41

25

2,120

4

55

25

2,600

5

69

25

3,110

6

83

25

3,535

7

97

25

3,935

8

111

25

4,465

9

125

25

4,530

10

139

25

4,570

11

153

25

4,600

12

14

27

625

13

28

27

1,215

14

41

27

2,110

15

55

27

2,805

16

69

27

3,255

17

83

27

4,015

18

97

27

4,315

19

111

27

4,495

20

125

27

4,535

21

139

27

4,600

22

153

27

4,600

23

14

29

590

24

28

29

1,305

25

41

29

2,140

26

55

29

2,890

27

69

29

3,920

28

83

29

3,920

29

97

29

4,515

30

111

29

4,520

31

125

29

4,525

32

139

29

4,565

33

153

29

4,566

34

14

31

590

35

28

31

1,205

36

41

31

1,915

37

55

31

2,140

38

69

31

2,710

39

83

31

3,020

40

97

31

3,030

41

111

31

3,040

42

125

31

3,180

43

139

31

3,257

44

153

31

3,214

A. Is there evidence of collinearity between the independent variables?

Yes, temperature and length are collinear in that their correlation is quite high

Yes, temperature and age of fish are collinear

No, temperature and age have no correlation

No, temperature and length have a low correlation

Yes, Age and length have a high correlation

None of the above

B. What proportion of the variation in the response variable is explained by the regression?

About 90 percent

About 81 percent

About 85 percent

None of the above

C. The F statistic indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish is an important explanatory variable in the model

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

D. The t-test of significance indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish contributes information in the prediction of length of fish

Length of fish contributes information in the prediction of age of fish

Length of fish contributes information in the prediction of temperature

E. The t-test of significance indicates that (same question but choose the correct answer):

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

F. Assuming you ran the regression correctly, plot the residuals (against Y-hat). The plot shows that:

The residuals appear to curve downwards, like a bowl facing down

The residuals appear to curve upwards, like a bowl facing up (V shape)

The residuals appear to be fanning out and are mostly spread out at the end

The residuals appear random

None of the above

G. REGRESSION. Which of the following types of transformation may be appropriate given the shape of the residual plot?

Logarithmic transformation in both Y and the X variables

Quadratic transformation to correct for curvilinear relationship

No transformation is necessary

G. REGRESSION. This type of dataset is best described as a ____ and a residual problem common with this type of data is ___

Cross-sectional data; heteroscedasticity

Time series data; heteroscedasticity

Cross-sectional data; residual correlation

Time series data; residual correlation

Cross-sectional data; multicollinearity

None of the above

In: Statistics and Probability

The Pew Research Center found that 38.6% of adult Americans believe that marriage is now obsolete....

The Pew Research Center found that 38.6% of adult Americans believe that marriage is now obsolete. Suppose a random sample of 550 American adults is asked whether marriage is obsolete. Describe the sampling distribution of " role="presentation">pˆ by using the " role="presentation">N(mean,sd) notation and reporting the mean and standard deviation of the sample proportion of American adults who believe that marriage is now obsolete. What is the probability that in a random sample of 550 American adults that less than 35% believe that marriage is obsolete? Explain your method and TI calculation. What is the probability that in a random sample of 550 American adults that between 45% and 50% believe that marriage is obsolete? Explain your method and TI calculation. Would it be unusual for a random sample of 550 American adults to result in 260 or more who believe marriage is obsolete? How would you determine this?

In: Statistics and Probability

Researchers often enter a lot of data into statistical software programs. The probability of making zero...

Researchers often enter a lot of data into statistical software programs. The probability of making zero to two errors per 1,000 keystrokes is 0.58, and the probability of making three to five errors per 1,000 keystrokes is 0.27. Find the probabilities (per 1,000 keystrokes) associated with each of the following.

At Most 2 Errors

At least 3 Errors

At most 5 errors

More than 5 errors

In: Statistics and Probability

You want to rent an unfurnished one-bedroom apartment for next semester. You take a random sample...

You want to rent an unfurnished one-bedroom apartment for next semester. You take a random sample of 10 apartments advertised in the local newspaper and record the rental rates. Here are the rents (in dollars per month). 455, 615, 305, 335, 510, 650, 590, 660, 675, 425

Find a 95% confidence interval for the mean monthly rent for unfurnished one-bedroom apartments available for rent in this community.

In: Statistics and Probability

The electric power consumed each month by a chemical plant is thought to be related to...

The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x1), the number of days in the month (x2), the average product purity (x3), and the tons of product produced (x4). The past year’s historical data are available and are presented in the following table:

y x1 x2 x3 x4

240 25 24 91 100

236 31 21 90 95

270 45 24 88 110

274 60 25 87 88

301 65 25 91 94

316 72 26 94 99

300 80 25 87 97

296 84 25 86 96

267 75 24 88 110

276 60 25 91 105

288 50 25 90 100

261 38 23 89 98

Fit a multiple linear regression model to this data. Determine whether or not the model you have assumed can be simplified by dropping any of the terms. Calculate the ANOVA table for the model, which you have determined. What is the estimate of the variance in the electric power measurement? Plot residual plots to determine if the assumptions underlying your analysis are met. Is this normal assumption a good one here? Calculate parameter covariance and parameter correlation matrix for your model. Do you have any concerns on the basis of this matrix?

In: Statistics and Probability

The US Navy is interested in acquiring a new communications relay for its submarines. Manufacturers tested...

The US Navy is interested in acquiring a new communications relay for its submarines. Manufacturers tested 50 units and found the mean time between failures to be 2607 minutes, and the sample standard deviation to be 675. Find a 95% CI for the mean time between failures. (Assume the sample comes from a normal population.)

In: Statistics and Probability

For the Poisson Distribution a. Is λ×T a parameter of position, scale, shape or a combination?...

For the Poisson Distribution

a. Is λ×T a parameter of position, scale, shape or a combination? Explain.

b. We can treat “λ×T” as a single parameter, but they actually represent two parameters: λ and T. Say you stand by the side of the road and count the number of cars that pass by you in one minute. After repeating this process 10 times you find the average number of cars that pass in 10 minutes. In this case, what is λ and what is T?

In: Statistics and Probability

1). Given a container with 6 white balls and 9 black balls, if 4 balls are...

1). Given a container with 6 white balls and 9 black balls, if 4 balls are chosen randomly, what is the probability that exactly two are white?

2). Given a container with 6 white balls and 9 black balls, if 4 balls are chosen randomly, and one of the chosen balls is black, what is the probability that exactly two are white?

In: Statistics and Probability

Is the environment a major issue with Americans? To answer that question, a researcher conducts a...

Is the environment a major issue with Americans? To answer that question, a researcher conducts a survey of 1255 randomly selected Americans. Suppose 730 of the sampled people replied that the environment is a major issue with them. Construct a 95% confidence interval to estimate the proportion of Americans who feel that the environment is a major issue with them. What is the point estimate of this proportion?



(Round the intermediate values to 3 decimal places. Round your answer to 3 decimal places.)

enter the lower limit of the confidence interval ≤ p ≤ enter the upper limit of the confidence interval

The point estimate is enter the point estimate  .

In: Statistics and Probability

Approximately 360 million people speak English as their first language. With 231 million native speakers, the...

Approximately 360 million people speak English as their first language. With 231 million native speakers, the United States comprises the majority of the global total. Additionally, there are 60 million native English speakers in the United Kingdom, 20 million in Canada, 17 million in Australia, 4.8 million in Ireland, and 4.8 million in New Zealand. Other countries also use English as their primary and official languages.

Problem 7. Summarize the data using a table

Australia

Canada

Ireland

New Zealand

United Kingdom

United State

Others

Total

360 million

(The program I am using for my stats class is called past 3)

Make a pie chart showing the percentage of native English speakers

Make a bar chart showing the percentage of native English speakers

Make a Pareto chart showing the percentage of native English speakers

In: Statistics and Probability

Let's say that I have a set of ten linear, simulateous equations for 6 unknowns. What...

Let's say that I have a set of ten linear, simulateous equations for 6 unknowns. What MATLAB code could I write to see how many of the variables could be solved in a numerical solution?

In: Statistics and Probability

Find the mean and standard deviation for each binomial random variable: a. n = 34, π...

Find the mean and standard deviation for each binomial random variable: a. n = 34, π = .65 (Round your mean value to 2 decimal places and standard deviation to 4 decimal places.) Mean Standard deviation b. n = 72, π = .45 (Round your mean value to 2 decimal places and standard deviation to 4 decimal places.) Mean Standard deviation c. n = 24, π = .80 (Round your mean value to 2 decimal places and standard deviation to 4 decimal places.) Mean Standard deviation

In: Statistics and Probability

Scores of an IQ test have a​ bell-shaped distribution with a mean of 100 and a...

Scores of an IQ test have a​ bell-shaped distribution with a mean of 100 and a standard deviation of 17. Use the empirical rule to determine the following. ​(a) What percentage of people has an IQ score between 66 and 134​? ​(b) What percentage of people has an IQ score less than 49 or greater than 151​? ​(c) What percentage of people has an IQ score greater than 134​?

In: Statistics and Probability