In: Statistics and Probability
Question 1
|
Descriptive statistics |
||
|
Inferential statistics |
||
|
Neither descriptive or inferential statistics |
||
|
There is no way to tell if these statistics are inferential or descriptive. |
Question 2
|
Nominal |
||
|
Ordinal |
||
|
Interval-Ratio |
||
|
None of the above. |
Question 3
|
Mode |
||
|
Median |
||
|
Mean |
||
|
None of the above. |
Question 4
|
Descriptive statistics |
||
|
Inferential statistics |
||
|
Neither descriptive or inferential statistics |
Question 5
|
Nominal |
||
|
Ordinal |
||
|
Interval-Ratio |
||
|
All of the above. |
Question 1:
Correct option:
Descriptive statistics
Explanation:
Descriptive statistics is a summary statistic that quantitatively summarizes features of a collection of information. Here The firm contacted and interviewed all 125 members of the Kansas Legislature and concluded that 45% favored abolishing the death penalty and 55% opposed abolishing it.
Question 2:
Correct option:
Nominal
Explanation:
The variable of interest is support for abolishing the death penalty in Kansas. So, level of measurement is nominal.
Question 3:
Correct option:
Mode
Explanation:
Mode is the only appropriate for measure of Central Tendency.
Question 4:
Correct option:
Inferential statistics
Explanation:
Inferential statistics allows us to make predictions from that data.Here, the research department drew a random sample of 300 employees and measured their opinions on the health plan. The results showed that 10% were very satisfied, 55% were somewhat satisfied, 35% were somewhat dissatisfied and none were very dissatisfied, with a margin of error of +/- 5.5%.
Question 5:
Correct option:
Ordinal
Explanation:
Here the variable of interest is how satisfied her employees were
with the current health plan and so it can be ranked.