Question

Find the proportion (thousandths) and percentage(tenths) without "% List_____________Frequency ------------------------------Proportion Percentage 0 ---------------------------9__________________________ a. ProportionBLANK-1, Percentage...

  1. Find the proportion (thousandths) and percentage(tenths) without "%

    List_____________Frequency ------------------------------Proportion Percentage

    0 ---------------------------9__________________________ a. ProportionBLANK-1, Percentage without "%"BLANK-2,

    1 ---------------------------10__________________________b. ProportionBLANK-3,, PercentageBLANK-4,

    2 ___________________16__________________________ c. ProportionBLANK-5,, PercentageBLANK-6,

    3 ___________________30__________________________d. ProportionBLANK-7,, PercentageBLANK-8,

    4 ____________________6__________________________ e. ProportionBLANK-9, PercentageBLANK-10,

    • BLANK-1
    • BLANK-2
    • BLANK-3
    • BLANK-4
    • BLANK-5
    • BLANK-6
    • BLANK-7
    • BLANK-8
    • BLANK-9
    • BLANK-10
  2. Question 16

    10 Points

    Determine which of the four levels of measurement​ (nominal, ordinal,​ interval, ratio) is most appropriate.

    Countries in the world.

    1. Ratio

    2. Nominal

    3. Interval

    4. Ordinal

  • Question 17

    10 Points

    Listed below are measured amounts of caffeine​ obtained in one can from each of 14 brands. Find the variance, for the given sample data.

    57

    34

    30

    44

    0

    33

    41

    60

    47

    56

    41

    31

    0

    0

    The answer is BLANK-1 (Round to the nearest tenths

Homework Answers

Answer #1

16.

A nominal variable is a categorical variable. Observations can take a value that is not able to be organized in a logical sequence.

Hence Nominal variable.

17.

The sample size is n = 14.

The provided sample data along with the data required to compute the sample mean Xˉ and sample variance s^2 are shown in the table below:

caffeine

caffeine2

57

3249

34

1156

30

900

44

1936

0

0

33

1089

41

1681

60

3600

47

2209

56

3136

41

1681

31

961

0

0

0

0

Sum =

474

21598

The sample variance s^2 is

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