Answer:
Minimum: 8 Q1: 14 Median: 17.5 Q3: 30 Maximum: 32
Step-by-step explanation:
8, 9, 11, 14, 17, 23, 29,30, 32, 32
Answer:
0.0930
Step-by-step explanation:
Given that one of your friends is testing the effect of drinking coffee on the duration of cold symptoms. The common cold lasts, on average, 6 days.
she tests a one-sided alternative about the population mean cold duration when drinking coffee, H0: μcoffee = 6 Ha: μcoffee < 6 She finds z = −1.68 with one-sided P-value P = 0.0465.
If hypotheses changed to two tailed as:

(Two tailed test)
Since we have mean difference and std error the same, test statistic would remain the same.
p value for two tailed would be = twice the p value for one tail
=
Answer:
y =74x
Step-by-step explanation:
A proportional relationship is represented by y = kx where x is the independent variable, or input, k is the constant of proportionality, and y is the dependent variable or output.
What do we do to the values in the row for x to get the values in the row of y?
It helps to have x = 1 in this table.
74 = (k)(1)
74 = k