# Chi square distribution

See attached file for full problem description.

49. _____________ frequencies are the actual number of observations that fall into each class in a frequency distribution or histogram.

a. Expected

b. Uniform

c. Observed

d. Independent

e. Dependent

50. _______________ frequencies are the number of observations that should fall into each class in a frequency distribution under the hypothesized probability distribution.

a. Expected

b. Uniform

c. Observed

d. Independent

e. Dependent

51. The chi-square test compares the __________ frequency distribution of the data to the frequency distribution that would be __________ if the null hypothesis were __________.

a. observed, expected, true

b. observed, expected, false

c. expected, observed, true

d. expected, observed, false

e. None of the above

52. A distribution in which each outcome of a class of outcomes is equally likely to occur is called a ___________ distribution.

a. binomial

b. normal

c. chi-square

d. uniform

e. t Test

53. The distribution of single digits extracted sequentially from a table of random numbers would most likely resemble a ___________ distribution.

a. binomial

b. normal

c. chi-square

d. uniform

e. negatively skewed

54. Which one of the following distributions of counts data would most likely be uniform?

a. letters of the alphabet from the front page of a newspaper

b. vehicles with their headlights on at different hours of the day

c. odd and even numbers drawn in the daily state lottery

d. meteors visible to the naked eye at different hours during a meteor shower

e. none of the above

#### Solution Summary

The solution gives a detailed chi square distribution and its application in testing of hypothesis.