True/false questions (20%)-BRIEFLY JUSTIFY YOUR RESPONSE 1. You wan t to evaluat

Question

True/false questions (20%)-BRIEFLY JUSTIFY YOUR RESPONSE 1. You wan t to evaluate the impact of bicycle rental kiosks on bicycle usage. You create a random sample of resid after the introduction before the introduction of the kiosk is 18%, and the percentage of persons who r "frequently" after the introduction of the kiosk is 25%, then the bicycle kiosk intervention is ents in a city neighborhood, and measure self-reported bicycle usage before and of the kiosk. If the percentage of pe rsons who ride bicycles "frequently" successful. A distribution of incomes for a city is known to be normally distributed. For a particular income, you are given a Z-value of -2.5. This is an unusually low income. 2. A case study of community development corporations in a city should be used to test theories regarding "typical" or "representative" CDCS 3. In statistical inference, we use the t distribution to determine how likely it is that a sample of size n with a given mean Xcould have been drawn from a population with a known, or hypothesized mean . 4. Major storms, such as hurricanes, occur at varying intervals and have varying intensities. However, we can measure the rate of major storms (number of storms per year) for a certain region using historical data. The probability of three major storms in a year for the Boston region can be computed using a Poisson distribution. 5. 6. Household income in the United States is best represented by a positively-skewed distribution.

Explanation / Answer

1) True,the introduction of bicycle kiosk has positive effect on bicycle usuage,which can be seen in the percentage of the bicycle usage after introducing bicycle kiosk.

2) True., a z-score is the number of standard deviations from the mean a data point is. so the data point is at (mean-2.5*standard deviation),which will give a very low income.

4) False, in t distribution we have to estimate the population mean based on the sample mean.

5) False, here the probability of an individual event is small with regards to the sample size n,so poisson distribution isn't of much help.

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