To learn whether there are significance between two independent groups on some m

Question

To learn whether there are significance between two independent groups on some measure, you need to run a ____________ analysis in Minitab. Question 1 options:
Two-sample t-test

ANOVA

Paired t-test

Correlation

Question 2 (1 point) Question 2 Unsaved When working with data measured on a continuous (interval or ratio) scale, the appropriate graph is a bar chart.
Question 2 options: True False

Question 3 (1 point) Question 3 Unsaved Variability within groups can have a huge impact on your analyses. With increased variability, you are ________ likely to find significant differences between the groups.
Question 3 options:
More

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To learn whether there are significance between two independent groups on some measure, you need to run a ____________ analysis in Minitab. Question 1 options:
Two-sample t-test

ANOVA

Paired t-test

Correlation

Question 2 (1 point) Question 2 Unsaved When working with data measured on a continuous (interval or ratio) scale, the appropriate graph is a bar chart.
Question 2 options: True False

Question 3 (1 point) Question 3 Unsaved Variability within groups can have a huge impact on your analyses. With increased variability, you are ________ likely to find significant differences between the groups.
Question 3 options:
More

Less



To learn whether there are significance between two independent groups on some measure, you need to run a ____________ analysis in Minitab. Question 1 options:
Two-sample t-test

ANOVA

Paired t-test

Correlation

Question 2 (1 point) Question 2 Unsaved When working with data measured on a continuous (interval or ratio) scale, the appropriate graph is a bar chart.
Question 2 options: True False

Question 3 (1 point) Question 3 Unsaved Variability within groups can have a huge impact on your analyses. With increased variability, you are ________ likely to find significant differences between the groups.
Question 3 options:
More

Less

Explanation / Answer

q.1 TWO SAMPLE T-TEST;

The two-sample t-test (Snedecor and Cochran, 1989) is used to determine if two population means are equal. A common application is to test if a new process or treatment is superior to a current process or treatment.

Q.2 TRUE; Quantitative variables may be measured at the interval or ratio levels. With interval data, the distance between data values are meaningful but there is no natural zero. With ratio data the distances between data values are meaningful, and there is a common origin. We can calculate the mode, the median, and the mean of interval and ratio data.

Q.3 LESS;

Variability can dramatically reduce your statistical power during hypothesis testing. Statistical power is the probability that a test will detect a difference (or effect) that actually exists.

It’s always a good practice to understand the variability present in your subject matter and how it impacts your ability to draw conclusions. Even when you can't reduce the variability, you can plan accordingly in order to assure that your study has adequate power.

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