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Testes de Estatística com Respostas, Provas de Estatística

40 testes de múltipla escolha selecionados a partir do site de Carl James Schwarz http://www.stat.sfu.ca/~cschwarz/ http://www.stat.sfu.ca/~cschwarz/MultipleChoice/

Tipologia: Provas

Antes de 2010

Compartilhado em 14/03/2010

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Testes de Bioestatística
1. In general, which of the following statements is FALSE?
(a) The sample mean is more sensitive to extreme values than the median.
(b) The sample range is more sensitive to extreme values than the standard deviation.
(c) The sample standard deviation is a measure of spread around the sample mean.
(d) The sample standard deviation is a measure of central tendency around the median.
(e) If a distribution is symmetric, then the mean will be equal to the median.
Solution: d
2. A sample of 99 distances has a mean of 24 feet and a median of 24.5 feet. Unfortunately, it
has just been discovered that an observation which was erroneously recorded as “30” actually
had a value of “35”. If we make this correction to the data, then:
(a) the mean remains the same, but the median is increased
(b) the mean and median remain the same
(c) the median remains the same, but the mean is increased
(d) the mean and median are both increased
(e) we do not know how the mean and median are affected without further calculations; but the
variance is increased.
Solution: c
3. A researcher is studying the hatching Yellow Bellied Sapsuckers. She has a study group of 40
eggs. A similar study has shown that the eggs’ hatching times should have a mean of 42 days
and a variance of 9 days (note that variance is (std dev) 2). Her thesis advisor has suggested that
the distribution of hatching times will have the same shape as that of the Purple Throated Tree-
tappers, which is “mound shaped”. If the researcher is willing to assume that her advisor is
correct, how may eggs will have hatching times between 36 and 48 days?
(a) Approximately 55%, or around 22 eggs.
(b) Approximately 68%, or around 27 eggs.
(c) Approximately 75%, or around 30 eggs.
(d) Approximately 95%, or around 38 eggs.
(e) Almost all of the eggs.
Solution: d
4. The distribution of the heights of students in a large class is roughly bell shaped. Moreover,
the average height is 68 inches, and approximately 95% of the heights are between 62 and 74
inches. Thus, the standard deviation of the height distribution is approximately equal to:
(a) 2
(b) 3
(c) 6
(d) 9
(e) 12
Solution: b
5. The average time between infection with the AIDS virus and developing AIDS has been
estimated to be 8 years with a standard deviation of about 2 years. Approximately what fraction
of people develops AIDS within 4 years of infection?
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Testes de Bioestatística

  1. In general, which of the following statements is FALSE? (a) The sample mean is more sensitive to extreme values than the median. (b) The sample range is more sensitive to extreme values than the standard deviation. (c) The sample standard deviation is a measure of spread around the sample mean. (d) The sample standard deviation is a measure of central tendency around the median. (e) If a distribution is symmetric, then the mean will be equal to the median. Solution: d
  2. A sample of 99 distances has a mean of 24 feet and a median of 24.5 feet. Unfortunately, it has just been discovered that an observation which was erroneously recorded as “30” actually had a value of “35”. If we make this correction to the data, then: (a) the mean remains the same, but the median is increased (b) the mean and median remain the same (c) the median remains the same, but the mean is increased (d) the mean and median are both increased (e) we do not know how the mean and median are affected without further calculations; but the variance is increased. Solution: c
  3. A researcher is studying the hatching Yellow Bellied Sapsuckers. She has a study group of 40 eggs. A similar study has shown that the eggs’ hatching times should have a mean of 42 days and a variance of 9 days (note that variance is (std dev) 2 ). Her thesis advisor has suggested that the distribution of hatching times will have the same shape as that of the Purple Throated Tree- tappers, which is “mound shaped”. If the researcher is willing to assume that her advisor is correct, how may eggs will have hatching times between 36 and 48 days? (a) Approximately 55%, or around 22 eggs. (b) Approximately 68%, or around 27 eggs. (c) Approximately 75%, or around 30 eggs. (d) Approximately 95%, or around 38 eggs. (e) Almost all of the eggs. Solution: d
  4. The distribution of the heights of students in a large class is roughly bell shaped. Moreover, the average height is 68 inches, and approximately 95% of the heights are between 62 and 74 inches. Thus, the standard deviation of the height distribution is approximately equal to: (a) 2 (b) 3 (c) 6 (d) 9 (e) 12 Solution: b
  5. The average time between infection with the AIDS virus and developing AIDS has been estimated to be 8 years with a standard deviation of about 2 years. Approximately what fraction of people develops AIDS within 4 years of infection?

(a) 5% (b) 2.5% (c) 32% (d) 16% (e) 1% Solution: b

  1. Fill in the missing words to the quote: “Statistical methods may be described as methods for drawing conclusions about …………………………. based on ………………………….computed from the …………………………. .”

(a) statistics, samples, populations (b) populations, parameters, samples (c) statistics, parameters, samples (d) parameters, statistics, populations (e) populations, statistics, samples Solution: e

  1. Marks on a Chemistry test follow a normal distribution with a mean of 65 and a standard deviation of 12. Approximately what percentage of the students has scores below 50? (a) 11% (b) 89% (c) 15% (d) 18% (e) 39% Solution: a
  2. The marks on a statistics test are normally distributed with a mean of 62 and a variance of
  3. If the instructor wishes to assign B’s or higher to the top 30% of the students in the class, what mark is required to get a B or higher? (a) 68. (b) 71. (c) 73. (d) 74. (e) 69. Solution: e
  4. The grade point averages of students at the University of Manitoba are approximately normally distributed with mean equal to 2.4 and standard deviation equal to 0.8. What fraction of the students will possess a grade point average in excess of 3.0? (a) 0. (b) 0. (c) 0. (d) 0. (e) 0. Solution: e
  5. Suppose the test scores of 600 students are normally distributed with a mean of 76 and standard deviation of 8. The number of students scoring between 70 and 82 is: (a) 272 (b) 164 (c) 260 (d) 136

(a). (b). (c). (d). (e). Solution: c

  1. The Central Limit Theorem states that: (a) if n is large then the distribution of the sample can be approximated closely by a normal curve (b) if n is large, and if the population is normal, then the variance of the sample mean must be small. (c) if n is large, then the sampling distribution of the sample mean can be approximated closely by a normal curve (d) if n is large, and if the population is normal, then the sampling distribution of the sample mean can be approximated closely by a normal curve (e) if n is large, then the variance of the sample must be small. Solution: c
  2. The central limit theorem tells us that the sampling distribution of is approximately normal. Which of the following conditions are necessary for the theorem to be valid: (a) The sample size has to be large. (b) We have to be sampling from a normal population. (c) The population has to be symmetric. (d) Population variance has to be small (e) Both A and C. Solution: a
  3. The Central Limit Theorem is important in Statistics because it allows us to use the normal distribution to make inferences concerning the population mean: (a) provided that the population is normally distributed and the sample size is reasonably large. (b) provided that the population is normally distributed (for any sample size). (c) provided that the sample size is reasonably large (for any population). (d) provided that the population is normally distributed and the population variance is known (for any sample size). (e) provided that the population size is reasonably large (whether the population distribution is known or not). Solution: c
  4. The Central Limit Theorem is important in Statistics because: (a) it tells us that large samples do not need to be selected. (b) it guarantees that, when it applies, the samples that are drawn are always randomly selected. (c) it enables reasonably accurate probabilities to be determined for events involving the sample average when the sample size is large regardless of the distribution of the variable (d) it tells us that if several samples have produced sample averages which seem to be different than expected, the next sample average will likely be close to its expected value. (e) it is the basis for much of the theory that has been developed in the area of discrete random variables and their probability distributions. Solution: c
  1. Which statement is NOT CORRECT? (a) The sample standard deviation measures variability of our sample values. (b) A larger sample will give answers that vary less from the true value than smaller samples (assuming both are properly chosen). (c) The sampling distribution describes how our estimate (answer) will vary if a new sample is taken. (d) The standard error measures how much our estimate (answer) may vary if a new sample of the same size is chosen using the same sampling method. (e) A large sample size always gives unbiased estimators regardless of how the sample is chosen. Solution: e
  2. What is a statistical inference? (a) A decision, estimate, prediction, or generalization about the population based on information contained in a sample. (b) A statement made about a sample based on the measurements in that sample. (c) A set of data selected from a larger set of data. (d) A decision, estimate, prediction or generalization about sample based on information contained in a population. (e) A set of data that characterizes some phenomenon. Solution: a
  3. Which of the following statements about confidence intervals is INCORRECT? (a) If we keep the sample size fixed, the confidence interval gets wider as we increase the confidence coefficient. (b) A confidence interval for a mean always contains the sample mean. (c) If we keep the confidence coefficient fixed, the confidence interval gets narrower as we increase the sample size. (d) If the population standard deviation increases, the confidence interval decreases in width. (e) If the confidence intervals for two means do not overlap very much, there is evidence that the two population means are different. Solution: d
  4. You have measured the systolic blood pressure of a random sample of 25 employees of a company. A 95% confidence interval for the mean systolic blood pressure for the employees is computed to be (122,138). Which of the following statements gives a valid interpretation of this interval? (a) About 95% of the sample of employees has a systolic blood pressure between 122 and 138. (b) About 95% of the employees in the company have a systolic blood pressure between 122 and 138. (c) If the sampling procedure were repeated many times, then approximately 95% of the resulting confidence intervals would contain the mean systolic blood pressure for employees in the company. (d) If the sampling procedure were repeated many times, then approximately 95% of the sample means would be between 122 and 138.
  1. A student is interested in estimating the average number of showers per week taken by

college students. Based on a preliminary sample he believes that F 07 3^2 is close to 2.1. How large a

sample is needed if his estimate is to be within 0.3 with probability 0.95. (a) 183 (b) 253 (c) 64 (d) 359 (e) 90 Solution: e

  1. An engineer is investigating the strength of a new type of fastener. The only information she has right now is that the strength of a similar fastener has a standard deviation of 35. Assuming that the new fasteners have the same standard deviation, how many fasteners should she test so that she can be 99% confident that the sample mean will be within F 0B 1 10 of the true mean strength? Choose the answer that is closest to your computed value. (a) 15 (b) 30 (c) 50 (d) 80 (e) 325 Solution: d
  • Note that if you use a 3 multiplier for a 99% c.i. you will get an answer near 110. The exact multiplier for a 99% confidence interval is 2.57 (look for the 99.5th percentile on a normal curve which gives you an answer of 81.
  1. You wish to estimate μ, the average lifetime of a particular type of battery. You are planning to select n batteries of this type and to operate them continuously until they fail. You have some feeling that the standard deviation of the lifetimes should be around 20 hours, and you wish your estimate of μ to be within 1 hour of μ with probability 0.95. How many batteries should you select? (a) 1537 (b) 784 (c) 40 (d) 77 (e) 1083 Solution: a - The exact answer of 1537 is found using the exact multiplier of 1.96 = 97.5th percentile of the normal curve rather than the approximate multiplier of 2.
  2. Popular wisdom is that eating pre-sweetened cereal tends to increase the number of dental caries (cavities) in children. A sample of children was (with parental consent) entered into a study and followed for several years. Each child was classified as a sweetened-cereal lover or a non-sweetened cereal lover. At the end of the study, the amount of tooth damage was measured. Here is the summary data:

Group n mean std. dev Sugar Bombed 10 6.41 5. No sugar 15 5.20 15.

An approximate 95% confidence interval for the difference in the mean tooth damage is:

Solution: b

  1. An experiment was conducted to compare the efficacies of two drugs in the prevention of tapeworms in the stomachs of a new breed of sheep. Samples of size 5 and 8 from each breed were given the drug and the two sample means were 28.6 and 40.0 worms/sheep. From previous studies, it is known that the variances in the two groups are 198 and 232, respectively, and that the number of worms in the stomachs has an approximate normal distribution. A 95% confidence interval for the difference in the mean number of worms per sheep is: (a) -11.4 ± 18. (b) 11.4 ± 18. (c) -11.4 ± 17. (d) 11.4 ± 16. (e) -11.4 ± 16. Solution: d
  2. A research study has reported that there is a correlation of r = -0.59 between the eye color (brown, green, blue) of an experimental animal and the amount of nicotine that is fatal to the animal when consumed. This indicates: (a) nicotine is less harmful to one eye color than the others. (b) the lethal dose of nicotine goes down as the eye color of the animal changes. (c) one must always consider the eye color of animals in making statements about the effect of nicotine consumption. (d) the researchers need to do further study to explain the causes of this negative correlation. (e) the researchers need to take a course in statistics because correlation is not an appropriate measure of association in this situation. Solution: e - correlation cannot be computed with nominal variables
  3. If the correlation between body weight and annual income were high and positive, we could conclude that: (a) high incomes cause people to eat more food. (b) low incomes cause people to eat less food. (c) high income people tend to spend a greater proportion of their income on food than low income people, on average. (d) high income people tend to be heavier than low income people, on average. (e) high incomes cause people to gain weight. Solution: d
  4. A study found a correlation of r = -0.61 between the sex of a worker and his or her income. You conclude that: (a) women earn more than men on average. (b) women earn less than men on average. (c) an arithmetic mistake was made; this is not a possible value of r. (d) this is nonsense because r makes no sense here. (e) the correlation of -0.61 is not meaningful here because the relationship between sex and income is likely nonlinear. Solution: d
  5. From tax records, it is relative easy to determine the amount of liquor consumed per capita and the number of cigarettes consumed per capita for each of the 10 provinces of Canada. These are plotted on a scatter plot and a high positive correlation is found. Which of the following is correct?

A 98% confidence interval for the mean difference in hemoglobin level between the two populations of infants is:

(a) 0.9 ± 1. (b) 0.9 ± 2. (c) 0.9 ± 2. (d) 0.9 ± 2. (e) 0.9 ± 1. Solution: d

Dicionário com Termos Estatísticos – Inglês -Português

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nominal net weight peso líquido nominal

nonsense sem sentido oats aveia on average em média overlap sobreposição plots parcela de terreno properly devidamente random samples amostras aleatórias range faixa relationship relacionamento roughly grosseiramente same mesmo sample amostra scatter plot gráfico de dispersão