Statics Interview Preparation Guide Download PDF
Statics Interview Questions and Answers will guide us now that Statics is the branch of mechanics concerned with the analysis of loads (force, torque/moment) on physical systems in static equilibrium, that is, in a state where the relative positions of subsystems do not vary over time, learn Statics with the help of this Statics Interview Questions with Answers guide
32 Statics Questions and Answers:
Table of Contents:
1 :: If value of x for normal distribution is 35, mean of normal distribution is 65 and standard deviation is 25 then standardized random variable is?
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2 :: Homogenieity of variance refers to what?
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4 :: Simpsons Paradox occurs when?
* a) No baseline risk is given, so it is not know whether a a high relative risk has practical importance
* b) High relative risk has practical importance
* b) A confounding variable rather than the explanatory variable is responsible for a change in the response variable.
* c) The direction of the relationship between two variables changes when the categories of a confounding variable are taken into account.
* d) The results of a test are statistically significant but are really due to chance.
Answer - c
* b) High relative risk has practical importance
* b) A confounding variable rather than the explanatory variable is responsible for a change in the response variable.
* c) The direction of the relationship between two variables changes when the categories of a confounding variable are taken into account.
* d) The results of a test are statistically significant but are really due to chance.
Answer - c
5 :: Pick the choice that best completes the following sentence. If a relationship between two variables is called statistically significant, it means the investigators think the variables are?
* a) Related in the population represented by the sample.
* b) Not related in the population represented by the sample
* c) Related in the sample due to chance alone
* d) Very important
Answer - a
* b) Not related in the population represented by the sample
* c) Related in the sample due to chance alone
* d) Very important
Answer - a
6 :: A chi-square test involves a set of counts called “expected counts.” What are the expected counts?
* a) Hypothetical counts that would occur of the alternative hypothesis were true.
* b) Hypothetical counts that would occur if the null hypothesis were true
* c) The actual counts that did occur in the observed data
* d) The long-run counts that would be expected if the observed counts are representative.
Answer - b
* b) Hypothetical counts that would occur if the null hypothesis were true
* c) The actual counts that did occur in the observed data
* d) The long-run counts that would be expected if the observed counts are representative.
Answer - b
7 :: A chi-square test of the relationship between personal perception of emotional health and marital status led to rejection of the null hypothesis, indicating that there is a relationship between these two variables. One conclusion that can be drawn is?
* a) Marriage leads to better emotional health.
* b) Better emotional health leads to marriage.
* c) The more emotionally healthy someone is, the more likely are they to be married
* d) There are likely to be confounding variables related to both emotional health and marital status
Answer - d
* b) Better emotional health leads to marriage.
* c) The more emotionally healthy someone is, the more likely are they to be married
* d) There are likely to be confounding variables related to both emotional health and marital status
Answer - d
8 :: Most of the women in this sample felt that their actual weight was?
* a) About the same as their ideal weight
* b) less than their ideal weight.
* c) greater than their ideal weight.
* d) No more than 2 pounds different from their ideal weight
Answer - c
* b) less than their ideal weight.
* c) greater than their ideal weight.
* d) No more than 2 pounds different from their ideal weight
Answer - c
9 :: The median of the distribution is approximately?
* a) -10 pounds
* b) 10 pounds
* c) 30 pounds
* d) 50 pounds
Answer - b
* b) 10 pounds
* c) 30 pounds
* d) 50 pounds
Answer - b
10 :: Scenario: The following histogram shows the distribution of the difference between the actual and “ideal” weights for 119 female students. Notice that percent is given on the vertical axis. Ideal weights are responses to the question “What is your ideal weight”. The difference = actual -ideal.
What is the approximate shape of the distribution?
* a) Nearly symmetric
* b) Skewed to the left
* c) Skewed to the right
* d) Bimodal (has more than one peak).
Answer - c
* b) Skewed to the left
* c) Skewed to the right
* d) Bimodal (has more than one peak).
Answer - c
11 :: The newspaper also reported, The number of children in the study who contracted asthma was relatively small Answer - 265 of 3,535. From this information and the information given in the original quote, which of the following could not be computed?
* a) The baseline risk of getting asthma without participating in after-school sports
* b) The overall risk of getting asthma for the children in this study
* c) The relative risk of getting asthma for children who routinely participate in vigorous after-school sports on smoggy days and their non-athletic peers.
* d) All of the above could be computed
Answer - a
* b) The overall risk of getting asthma for the children in this study
* c) The relative risk of getting asthma for children who routinely participate in vigorous after-school sports on smoggy days and their non-athletic peers.
* d) All of the above could be computed
Answer - a
12 :: Scenario: A newspaper article reported, Children who routinely compete in vigorous after-school sports on smoggy days are three times more likely to get asthma than their non-athletic peers. (Sacramento Bee, Feb 1, 2002, p. A1) Of the following, which is the most important additional information that would be useful before making a decision about participation in school sports?
* a) Where was the study conducted?
* b) How many students in the study participated in after-school sports?
* c) What is the baseline risk for getting asthma?
* d) Who funded the study?
Answer - c
* b) How many students in the study participated in after-school sports?
* c) What is the baseline risk for getting asthma?
* d) Who funded the study?
Answer - c
13 :: people over 30?
* a) 2.5
* b) 0.4
* c) 0.5
* d) 30%
Answer - a
* b) 0.4
* c) 0.5
* d) 30%
Answer - a
14 :: Among people with age under 30 what are the odds that they always exceed the speed limit?
* a) 1 to 2
* b) 2 to 1
* c) 1 to 1
* d) 50%
Answer - c
* b) 2 to 1
* c) 1 to 1
* d) 50%
Answer - c
15 :: Scenario: A survey asked people how often they exceed speed limits. The data are then categorized into the following contingency table of counts showing the relationship between age group and response.
Exceed Limit if Possible Age Always Not Always Total
Under 30 100 100 200
Over 30 40 160 200
Total 140 260 400
Among people with age over 30, what is the risk of always exceeding the speed limit?
* a) 0.20
* b) 0.40
* c) 0.33
* d) 0.50
Answer - a
* b) 0.40
* c) 0.33
* d) 0.50
Answer - a
16 :: Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from a certain professor is: Final exam = 50 + 0.5 × midterm. One interpretation of the slope is?
* a) A student who scored 0 on the midterm would be predicted to score 50 on the final exam.
* b) A student who scored 0 on the final exam would be predicted to score 50 on the mid term exam
* c) A student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other student, did on the final exam
* d) Students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam
Answer - c
* b) A student who scored 0 on the final exam would be predicted to score 50 on the mid term exam
* c) A student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other student, did on the final exam
* d) Students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam
Answer - c
17 :: One use of a regression line is?
* a) To determine if any x-values are outliers
* b) To determine if any y-values are outliers
* c) To determine if a change in x causes a change in y.
* d) To estimate the change in y for a one-unit change in x.
Answer - d
* b) To determine if any y-values are outliers
* c) To determine if a change in x causes a change in y.
* d) To estimate the change in y for a one-unit change in x.
Answer - d
18 :: What is the effect of an outlier on the value of a correlation coefficient?
* a) An outlier will always decrease a correlation coefficient.
* b) An outlier will always increase a correlation coefficient.
* c) An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points
* d) An outlier will have no effect on a correlation coefficient.
Answer - c
* b) An outlier will always increase a correlation coefficient.
* c) An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points
* d) An outlier will have no effect on a correlation coefficient.
Answer - c
19 :: The value of a correlation is reported by a researcher to be r = -0.5. Which of the following statements is correct?
* a) The x-variable explains 25% of the variability in the y-variable.
* b) The x-variable explains 25% of the variability in the y-variable.
* c) The x-variable explains 50% of the variability in the y-variable.
* d) The x-variable explains 50% of the variability in the y-variable.
Answer - a
* b) The x-variable explains 25% of the variability in the y-variable.
* c) The x-variable explains 50% of the variability in the y-variable.
* d) The x-variable explains 50% of the variability in the y-variable.
Answer - a
20 :: A scatter plot of number of teachers and number of people with college degrees for cities in California reveals a positive association. The most likely explanation for this positive Association is?
* a) Teachers encourage people to get college degrees, so an increase in the number of teachers is causing an increase in the number of people with college degrees.
* b) Larger cities tend to have both more teachers and more people with college degrees, so the association is explained by a third variable, the size of the city.
* c) Teaching is a common profession for people with college degrees, so an increase in the number of people with college degrees causes an increase in the number of teachers.
* d) Cities with higher incomes tend to have more teachers and more people going to college, so income is a confounding variable, making causation between number of teachers and number of people with college degrees difficult to prove
Answer - b
* b) Larger cities tend to have both more teachers and more people with college degrees, so the association is explained by a third variable, the size of the city.
* c) Teaching is a common profession for people with college degrees, so an increase in the number of people with college degrees causes an increase in the number of teachers.
* d) Cities with higher incomes tend to have more teachers and more people going to college, so income is a confounding variable, making causation between number of teachers and number of people with college degrees difficult to prove
Answer - b
21 :: Which of the following would indicate that a dataset is not bell-shaped?
* a) The range is equal to 5 standard deviations.
* b) The range is larger than the inter-quartile range.
* c) The mean is much smaller than the median.
* d) There are no outliers.
Answer - c
* b) The range is larger than the inter-quartile range.
* c) The mean is much smaller than the median.
* d) There are no outliers.
Answer - c
22 :: A list of 5 pulse rates is: 70, 64, 80, 74, 92. What is the median for this list?
* a) 74
* b) 76
* c) 77
* d) 80
Answer - a
* b) 76
* c) 77
* d) 80
Answer - a
23 :: Which one of these statistics is unaffected by outliers?
* a) Mean
* b) Inter-quartile range
* c) Standard deviation
* d) Range
Answer - b
* b) Inter-quartile range
* c) Standard deviation
* d) Range
Answer - b
24 :: A polling agency conducted a survey of 100 doctors on the question “Are you willing to treat women patients with the recently approved pill RU-486”. The conservative margin of error associated with the 95% confidence interval for the percent who say yes is?
* a) 50%
* b) 10%
* c) 5%
* d) 2%
Answer - b
* b) 10%
* c) 5%
* d) 2%
Answer - b
25 :: Scenario: A study was done to compare the lung capacity of coal miners to the lung capacity of farm workers. The researcher studied 200 workers of each type. Other factors that might affect lung capacity are smoking habits and exercise habits. The smoking habits of the two worker types are similar, but the coal miners generally exercise less than the farm workers do?
Which of the following is the explanatory variable in this study?
► a) Exercise
► b) Lung capacity
► c) Smoking or not
► d) Occupation
Answer - d
► a) Exercise
► b) Lung capacity
► c) Smoking or not
► d) Occupation
Answer - d