Week 1 Flashcards

1
Q

Experimental Unit

A

a physical entity that is the primary unit of interest in a specific research objective. Generally, the experimental unit is the person, animal, or object that is the subject of the experiment.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Population

A

collections of all individuals or individual items of a particular type. At times a population signifies a
scientific system.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Samples

A

Information is gathered in the form of samples, or collections
of observations. Should be random not biased.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Sample Size

A

Number of units in the sample that are taken for measurement.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Sample Mean

A

Average value of sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Sample Standard Deviation

A

Measurement of spread or variation in measurements

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Pareto Diagram

A

A Pareto chart is a bar graph. The lengths of the bars represent frequency or cost (time or money), and are arranged with longest bars on the left and the shortest to the right. In this way the chart visually depicts which situations are more significant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Dot Diagram

A

a statistical chart consisting of data points plotted on a fairly simple scale. They are useful for highlighting clusters, gaps, skews in distribution, and outliers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Cumulative Distribution Frequency

A

When the number of new cases is increasing, the cumulative curve is “concave up.”
When the number of new cases is staying the same, the cumulative curve is linear. The slope of the curve indicates the number of new cases.
When the number of new cases is decreasing, the cumulative curve is “concave down.”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Ogive Plot

A

plots cumulative frequency on the y-axis and class boundaries along the x-axis.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Stem and Leaf Plot

A

A stem and leaf plot is represented in form of a special table where each first digit or digit of data value is split into a stem and the last digit of data in a leaf

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Arithmetic Mean

A

The mean (informally, the “average“) is found by adding all of the numbers together and dividing by the number of items in the set: 10 + 10 + 20 + 40 + 70 / 5 = 30

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Arithmetic Median

A

The median is found by ordering the set from lowest to highest and finding the exact middle. The median is just the middle number: 10 + 10 + 20 + 40 + 70 is 20.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Arithmetic Mode

A

Most common value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Range

A

Method to measure the dispersion of the values. Can be misleading when outliers are present. Does not take into account the distribution of bunching of values.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Sample Variance

A

The sample variance, s^2, is used to calculate how varied a sample is. he variance helps you to figure out how spread out your weights are.
 When many values are away from the mean, the variance is large
 When many values are close to the mean, the variance is small

17
Q

Sample Standard Deviation

A

The root-mean square of the differences between observations and the sample mean

18
Q

Coefficient Variation

A

the ratio of the standard deviation to the mean and shows the extent of variability in relation to the mean of the population. The higher the CV, the greater the dispersion.

19
Q

Quartiles

A

three values that split sorted data into four parts, each with an equal number of observations.

20
Q

Percentiles

A

Percentiles divide ordered data into hundredths. To score in the 90th percentile of an exam does not mean, necessarily, that you received 90% on a test