In interval estimation, as the level of confidence increases a. The width of the
ID: 3069027 • Letter: I
Question
In interval estimation, as the level of confidence increases
a. The width of the confidence interval usually is zero
b. The width of the confidence interval usually increases
c. The width of the confidence interval usually decreases
d. The width of the confidence interval usually remains constant
e. The width of the confidence approaches –1 or 1
When deciding whether to reject the null hypothesis, if your p-value is less than your level of significance:
a. decrease your sample size
b. increase your sample size
c. you accept the null hypothesis
d. you must increase your level of significance
e. you reject the null hypothesis
A deviation score is
a. the positive correlation between the two variables
b. the summation of all data points in a given sample
c. the standard deviation of a given population sample
d. the difference between a given score and the mean
e. standard error between the four or more variables
A large standard deviation implies
a. your sample size is to small
b. a large amount of variability of scores around the mean
c. your sample size is to large
d. a small amount of variability of scores around the mean
e. nothing
Variance is the
a. average of the sum of squared deviations around the mean
b. correlation coefficient squared
c. sum of least squares
d. square root of the mean
e. maximum population value
The predictor variable is also know as the
a. sum of squares
b. independent variable
c. correlation coefficient
d. dependent variable
e. mean
Standard deviation is the
a. variance squared
b. square root of the mean
c. correlation coefficient
d. square root of the variance
e. sum of squares
A point estimate is
a. the y-intercept
b. independent minus the dependent variable
c. a single value that represents the best estimate of the population parameter
d. the slope of the prediction equation
e. a mean of the standard deviations
A Correlation Coefficient (r) value of -0.83 shows a
a. high negative correlation between the two variables
b. high positive correlation between the two variables
c. no correlation between the two variables
d. low positive correlation between the two variables
e. low negative correlation between the two variables
In regression, the closer the correlation coefficient r is to -1,
a. the smaller the causation between the independent and dependent variables
b. the greater the causation between the independent and dependent variables
c. the smaller the correlation between the independent and dependent variables
d. the greater the correlation between the independent and dependent variables
e. the greater the population sample size
Explanation / Answer
Ans:
1)In interval estimation, as the level of confidence increases
The width of the confidence interval usually increases.
(Option b is correct.)
2)When deciding whether to reject the null hypothesis, if your p-value is less than your level of significance:
you reject the null hypothesis.
(option e is correct)
3)A deviation score is the difference between a given score and the mean
(option d is correct.)
4)A large standard deviation implies
a large amount of variability of scores around the mean
(option b is correct)
5)Variance is the average of the sum of squared deviations around the mean.
(option a is correct)
6)The predictor variable is also know as the independent variable
(option b is correct)
7)Standard deviation is the square root of the variance.
(option d is correct)
8)A point estimate is a single value that represents the best estimate of the population parameter
(option c is correct)
9)A Correlation Coefficient (r) value of -0.83 shows a high negative correlation between the two variables
(option a is correct)
10)In regression, the closer the correlation coefficient r is to -1,the greater the correlation between the independent and dependent variables.
(option d is correct)