8 Common Techniques in Descriptive Statistics Flashcards

1
Q

What are the main topics covered in this chapter?

A
  • Understanding frequencies and percentages
  • Calculating percent change and percent difference
  • Discovering confidence intervals
  • Understanding z-scores
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2
Q

Define frequencies in the context of descriptive statistics.

A

A count of occurrences of specific values within a variable.

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3
Q

What is a frequency table?

A

A table that lists every reported value in a variable and how many times they occurred.

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4
Q

What is the purpose of a contingency table?

A

To hold more than one variable and show the relationship between them.

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5
Q

How do you calculate frequency?

A
  1. Arrange values in order.
  2. Create a table of possible values.
  3. Count occurrences of each value.
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6
Q

What is the difference between count and probability in statistics?

A

Count is the number of occurrences, while probability is the count divided by the total number of occurrences.

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7
Q

What are percentages in relation to frequencies?

A

Percentages represent the portion of the whole that each value accounts for.

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8
Q

List the steps to calculate percentages.

A
  1. Find the frequencies.
  2. Divide each frequency by the total number of values.
  3. Multiply each frequency by 100.
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9
Q

Fill in the blank: Percent change is concerned with how a single value has changed from point A to point _______.

A

[B]

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10
Q

What is the formula for calculating percent change?

A

C = ((x2 - x1) / x1) * 100

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11
Q

True or False: Percent change can yield negative results.

A

True

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12
Q

What is the main focus of percent difference?

A

Comparing two values without a designated starting point.

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13
Q

What is the formula for calculating percent difference?

A

Percent difference = (|x1 - x2| / ((x1 + x2) / 2)) * 100

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14
Q

Fill in the blank: Percent difference will never have a _______ value.

A

[negative]

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15
Q

What type of data do frequencies and percentages commonly apply to?

A

Qualitative variables

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16
Q

What happens to the complexity of frequency tables as more variables are added?

A

Complexity increases exponentially.

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17
Q

What type of chart represents frequencies?

A

Bar charts

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18
Q

What type of chart represents percentages?

A

Pie charts

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19
Q

True or False: Percent change and percent difference are calculated the same way.

A

False

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20
Q

What is the key difference between percent change and percent difference?

A

Percent change references a starting value; percent difference treats both values equally.

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21
Q

How would you describe the relationship between percent change and a variable’s starting point?

A

Percent change is always reported in reference to a starting value.

22
Q

What is the significance of understanding confidence intervals in data analysis?

23
Q

What is a z-score used for in statistics?

24
Q

What is the formula for calculating percent difference?

A

Percent difference = (|π‘₯π‘₯1 - π‘₯π‘₯2| / ((π‘₯π‘₯1 + π‘₯π‘₯2) / 2)) * 100

25
Q

What is the first step in calculating percent difference?

A

Subtract one value from the other and drop any negative signs.

26
Q

True or False: Percent difference can have negative values.

27
Q

What does a confidence interval represent?

A

A range including the mean of your sample.

28
Q

What is the most common alpha value used for confidence intervals?

29
Q

What confidence level corresponds to an alpha of 0.05?

30
Q

What is the equation for calculating a confidence interval?

A

CI = π‘₯π‘₯Μ… Β± t (𝜎 / βˆšπ‘›)

31
Q

What does π‘₯π‘₯Μ… represent in the confidence interval equation?

A

The mean of the sample.

32
Q

What is the purpose of a z-score?

A

To compare a single value to a normal distribution.

33
Q

Fill in the blank: A z-score reports how many _______ your chosen value is from the mean.

A

standard deviations

34
Q

What is the equation for calculating a z-score?

A

Z = (π‘₯π‘₯ - πœ‡πœ‡) / 𝜎𝜎

35
Q

What is the first step in calculating a z-score?

A

Subtract the mean from your value.

36
Q

How do you find the upper confidence interval?

A

Add the result of the previous step to your mean.

37
Q

How do you find the lower confidence interval?

A

Subtract the result of the previous step from the mean.

38
Q

What does β€˜t’ represent in the confidence interval equation?

A

A value from a t-distribution confidence table.

39
Q

What is the standard deviation of the sample in the hotdog sales example?

40
Q

What is the sample size in the hotdog sales example?

41
Q

What is the mean of the hotdog sales example?

42
Q

What is the result of the confidence interval calculation for the hotdog sales?

A

Lower confidence interval = 7.31, Upper confidence interval = 8.69

43
Q

What type of analysis is most appropriate for comparing a single article’s reads to other articles?

44
Q

What is the confidence level if the alpha is 0.01?

45
Q

True or False: The percent change measures the objective difference between two values.

46
Q

What do you need to calculate percent change?

A

A starting value and an ending value.

47
Q

What is the percent change if the starting value is 200 and the ending value is 240?

48
Q

What is the second step in calculating percent difference?

A

Find the average of the two values.

49
Q

What is the third step in calculating confidence intervals?

A

Find the square root of your sample size.

50
Q

What is the significance of the degrees of freedom (dfs) in the context of confidence intervals?

A

Sample size minus 1.

51
Q

What does a z-score of 1 indicate in terms of standard deviation?

A

The value is 1 standard deviation above the mean.