1.One of the conditions for the sampling distribution of the
sample proportion to be normal is that one should observe at least
5 successes and at least 5 failures.
2.The standard error for the sample proportion depends on the
population proportion.
3.If the 95% confidence interval for one population proportion
is given by 0.22 to 0.33, then the sample proportion is 0.275.
4.As one increases the sample size, the margin of error in the
confidence interval for one proportion will
5.Suppose one needs to apply the chi-square test to data
organized in a 3 by 3 table. Then the degrees of freedom is equal
to
6.In the chi-square test of independence (between two
categorical variables), if the difference between the observed and
expected counts is significant, the null hypothesis will be
|
sometimes retained, sometimes rejected |
7.Consider the equation Y = 5 - 2.32X. Then, for each 1-unit
increase in X, Y will
8.The basic model in regression is of the form:
|
Data = Slope + Y-intercept |
9.Residual is the difference between what was observed in the
sample and expected values obtained by the regression line.
10.When the coefficient of correlation is near -1, we can speak
of strong negative correlation.