The mean weight in pounds µ in this population is the parameter of interest. la) What does the random variable (X) represent? 1b) Finish filling in the frequency distribution table: Counts (Frequency) 90-109.9 1 110-129.9 130-149.9 150-169.9 170-179.9 Total: 10 1c) Draw a histogram that shows the population distribution of X. (Label the horizontal and vertical axis.)

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Consider the idea of a sampling distribution in the case of a very small sample from a
very small population. The population is 10 students in a certain class:
Student
1
3
8.
6.
Weight
136
99
118
129
125
170
130
128
120
147
The mean weight in pounds u in this population is the parameter of interest.
la) What does the random variable (X) represent?
1b) Finish filling in the frequency distribution table:
Counts (Frequency)
90-109.9
1
110-129.9
130-149.9
150-169.9
170-179.9
Total: 10
1c) Draw a histogram that shows the population distribution of X. (Label the
horizontal and vertical axis.)
1d) Find the population mean u.
Transcribed Image Text:Consider the idea of a sampling distribution in the case of a very small sample from a very small population. The population is 10 students in a certain class: Student 1 3 8. 6. Weight 136 99 118 129 125 170 130 128 120 147 The mean weight in pounds u in this population is the parameter of interest. la) What does the random variable (X) represent? 1b) Finish filling in the frequency distribution table: Counts (Frequency) 90-109.9 1 110-129.9 130-149.9 150-169.9 170-179.9 Total: 10 1c) Draw a histogram that shows the population distribution of X. (Label the horizontal and vertical axis.) 1d) Find the population mean u.
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