normal
8
normal
8
The graphs show a violation of the assumption of (check all that apply)

false
true
normality
false
homogeneity of variance
graphics/skew.gif
The distributions are skewed and therefore violate the assumption of normality.
The graphs show a violation of the assumption of (check all that apply)

false
true
normality
true
homogeneity of variance
graphics/hetero_skew.gif
Population 1 is skewed and therefore violates the assumption of normality. Population 2 has a larger variance.
The graphs show a violation of the assumption of (check all that apply)

false
false
normality
true
homogeneity of variance
graphics/hetero_var.gif
Population 2 has a larger variance.
In the formula for t, the "statistic" is

false
false
the null hypothesis.
false
the mean of all numbers.
true
the difference between sample means.
false
the significance level.
The statistic is the value you are interested in testing. Here you are interested
in the difference between means.
In the formula for t, the "hypothesized value" is

false
false
what you expect the t to be.
true
the difference between population means.
false
the significance level.
The hypothesized value is the population parameter you are comparing your statistic to. Here you are interested
in the difference between population means.
If the null hypothesis is that two population means are equal, then the hypothesized value is

false
true
0.
false
the population mean.
If the population means are equal, then the hypothesized value of the difference
between means is 0.
The denominator in the t test formula is

false
false
the estimated standard error of the mean.
true
the estimated standard error of the difference between means.
false
MSE/2
Since the statistic in question is the difference between means,
the denominator is the estimated standard error of the difference between means.
If there are 4 scores per group and the t value is 2.34, what is the p value for a two-tailed test (to 3 decimal places)?

.0578
.005
The df is 4 + 4 -2 = 6. The p value is 0.0578.
What is the t for an independent-groups t test for these data?

0
2
0.01
Compute the t for an independent-groups t test. If you are using
a program, make sure to recode the data as described. showCorrectAnswer