Chapter%203%20Cumulative%20Test - PowerPoint PPT Presentation

About This Presentation
Title:

Chapter%203%20Cumulative%20Test

Description:

Include class limits, midpoints, frequencies, boundaries, relative freq and cumulative freq. ... statistics because they describe a sample. Range, variance and ... – PowerPoint PPT presentation

Number of Views:15
Avg rating:3.0/5.0
Slides: 14
Provided by: gordonsw
Category:

less

Transcript and Presenter's Notes

Title: Chapter%203%20Cumulative%20Test


1
Chapter 3 Cumulative Test
  • Sample 30 people spent on books ()
  • 156 150 109 98 136 170 178 195 110 191 187 119
    104 160 132 117 111 120 103 123 153 91 162 93
    118 127 90 181 110 116

2
1) qualitative or quantitative and level of
measurement
  • Data is quantitative
  • Data is ratio (there is a true 0)

3
2) Method of data collection. Sampling technique
  • Use a survey
  • Collect data using random sampling (randomly
    chosen people)
  • If data were systematic or convenience the sample
    might not be representative of the amount people
    spent on boods.

4
3. Make frequency distribution with 5 classes.
Include class limits, midpoints, frequencies,
boundaries, relative freq and cumulative freq.
5
Frequency histogram and polygon
6
Stem and leaf
  • 9 0138
  • 10 349
  • 11 0016789
  • 12 037
  • 13 26
  • 14
  • 15 036
  • 16 02
  • 17 08
  • 18 17
  • 19 15

7
Box and whisker (boxplot)
8
Mean median and mode
  • Mean 133.67
  • Median 121.50
  • Mode 100.50
  • These are statistics because they describe a
    sample

9
Range, variance and standard deviation
  • Range 195 -90 105
  • Variance 1040.5
  • standard deviation 32.26
  • The range is larger than 3 standard deviations.

10
Probability spending lt 120
  • Frequency estimate 14/30 .467
  • Prob randomly selecting person who spent more
    than 120. There are 15 such people in the
    sample. So Prob0.5

11
Prob person spent lt 120 or gt 160
  • These are mutually exclusive events (person
    cannot do both). So the probability is the sum of
    the probabilities of individual events which is
    14/30 7/30 21/30 .7

12
5 person sample. Prob (at least one spent gt 175)
  • Pr(any person spent gt 175) 5/30 .1667
  • Pr(at least 1 person spent gt 175) 1 - Pr(no
    people spent gt 175)
  • Assume samples are independent (i.e not from the
    30 people sampled, which would be a dependent
    sample
  • Pr(one person gt 175) .8333
  • Pr(1 or more) 1 - .8335 .598
  • If dependent then 1 - 2524232221/(3029282
    726) .627

13
How many ways can 5 respondents be resampled from
30?
  • Order is not important so it is number of
    combinations of 30 things taken 5 at a time
  • This is 142506
Write a Comment
User Comments (0)
About PowerShow.com