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Cristina Torres

Cristina T.

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Thuc Nguyen verified

Numerade educator

It is known that the birth weights of full-term newborn infants in the U.S. have an approximately normal distribution with a mean weight of 6.8 lbs and a standard deviation of 1.7 lbs. How much would a baby need to weigh at birth (in lbs) to be considered in the 90th percentile of birth weights? Do not round your answer (it should have three decimal places).

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Thuc Nguyen verified

Numerade educator

It is known that the birth weights of full-term newborn infants in the U.S. have an approximately normal distribution with a mean weight of 6.8 lbs and a standard deviation of 1.7 lbs. Approximately what proportion of newborn babies will have a birth weight between 6 lbs and 8 lbs? Provide all four decimal places in your answer.

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Jason Horton verified

Numerade educator

The distribution of student scores on the quantitative section of the SATs have an approximately normal distribution with a mean score of 501 points, and a standard deviation of 85 points. Suppose a college with competitive admissions will only accept students who scored at least a 550 on the quantitative section of the SATS. What proportion of students will NOT qualify for acceptance at the that college based on SAT scores? Provide all four decimal places in your answer.

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Christopher Dzorkpata verified

Numerade educator

The distribution of student scores on the quantitative section of the SATs have an approximately normal distribution with a mean score of 501 points, and a standard deviation of 85 points. If you randomly select one student who has taken the SAT, what is the probability that the student will have scored greater than 600 points on the quantitative section of the SATs? Provide all four decimal places in your answer.

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Christopher Dzorkpata verified

Numerade educator

Let Z be a random variable with a Standard Normal distribution (µ= 0, σ=1). Calculate the following probability. Include all four decimal places in your answer. P (-1.2 ≤ Z ≤ 0.95)

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Rosina Dapaah verified

Numerade educator

Let Z be a random variable with a Standard Normal distribution (µ = 0, σ = 1). Calculate the following probability. Include all four decimal places in your answer. P (Z ≤ -1.08)

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Thuc Nguyen verified

Numerade educator

Let Z be a random variable with a Standard Normal distribution (). Calculate the following probability. Include all four decimal places in your answer. P (Z ? -0.64)

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Thuc Nguyen verified

Numerade educator

The data table below gives the distance (x, in miles) and the cost (y, in dollars) of a round trip flight from Boston to 11 other selected destinations. It is of interest to determine if there is a relationship between the cost of a flight and the distance traveled. From the data, it is found that the equation of the regression line is LaTeX: \hat{y}=166.75 + 0.08 x and the correlation coefficient is LaTeX: r=0.831. Use this information to answer the remainder of the questions on the test. Miles 206 429 963 1037 1141 1748 1940 2716 2976 2979 3095 Cost 179 99 179 317 334 404 274 289 443 314 397 Which variable in this scenario would be considered the explanatory variable?

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ANSWERED

Thuc Nguyen verified

Numerade educator

The data table below gives the distance (x, in miles) and the cost (y, in dollars) of a round trip flight from Boston to 11 other selected destinations. It is of interest to determine if there is a relationship between the cost of a flight and the distance traveled. From the data, it is found that the equation of the regression line is LaTeX: \hat{y}=166.75 + 0.08 x and the correlation coefficient is LaTeX: r=0.831. Would you say the correlation coefficient indicates a strong correlation or a weak correlation, and why?

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ANSWERED

Thuc Nguyen verified

Numerade educator

The data table below gives the distance (x, in miles) and the cost (y, in dollars) of a round trip flight from Boston to 11 other selected destinations. It is of interest to determine if there is a relationship between the cost of a flight and the distance traveled. From the data, it is found that the equation of the regression line is LaTeX: \hat{y}=166.75 + 0.08 x and the correlation coefficient is LaTeX: r=0.831. Use this information to answer the remainder of the questions on the test. Use the regression equation to predict the cost of traveling 2300 miles?

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