True/false questions (20%)-BRIEFLY JUSTIFY YOUR RESPONSE 1. You want to evaluate

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True/false questions (20%)-BRIEFLY JUSTIFY YOUR RESPONSE 1. You want to evaluate the impact of bicycle rental kiosks on bicycle usage. You create a random sample of residents in a city neighborhood, and measure s elf-reported bicycle usage before and after the introduction of the kiosk. If the percentage of persons before who ride bicycles "frequently" who ride bicycles is the introduction of the kiosk is 18%, and the percentage of persons quently re after the introduction of the kiosk is 25%, then the bicycle kiosk intervention successful 2. A distribution of incomes for a city is are given a Z-value of -2.5. This is an unusually low income. known to be normally distributed. For a particular income, you 3. A case study of community development corporations in a city should regarding "typical" or "representative" CDCs 4. In st atistical inference, we use the t distribution to determine how likely it is that a sample of size n with a given mean Kcould have been drawn from a population with a known, or hypothesized mean . 5. Major storms, such as hurricanes, occur at varying intervals and have varying intensities. However, an measure the rate of major storms (number of storms per year) for a certain region using we c historical data. The probability of three computed using a Poisson distribution. major storms in a year for the Boston region can be 6. Household income in the United States is best represented by a positively-skewed distribution 7. We wish to evaluate the success of a first-time homebuyer program that is directed by a local nonprofit organization. A good indicator of the program's success is the number of local residents who have graduated from the program A survey of employees regarding transportation mode for the work commute yields counts of employees who drive, who take mass transit, who bike, and who walk. The variable that represents these data is a nominal variable. The median of a distribution of values can be influenced by the presence of extreme values. For two events A and B that are independent, the probability that events A and B occur together is given by P(A) * P(B).

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7) False

8) False

9) False

In a distribution with an odd number of observations, the median value is the middle value. Advantage of the median: The median is less affected by outliers and skewed data than the mean, and is usually the preferred measure of central tendency when the distribution is not symmetrical

10) True

When two events are said to be independent of each other, what this means is that the probability that one event occurs in no way affects the probability of the other event occurring. An example of two independent events is as follows; say you rolled a die and flipped a coin.

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