As part of a research project, the masses, m grams, of a random sample of 1000 pebbles from a certain beach were recorded. The results are summarised in the table. Mass (g) 50

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What is the answer for part (d) and (e)?

As part of a research project, the masses, m grams, of a random sample of 1000 pebbles from a
certain beach were recorded. The results are summarised in the table.
Mass (g)
50 < m < 150
150 < m < 200 200 <m < 250 250 < m < 350
Frequency
162
318
355
165
(a) Calculate estimates of the mean and standard deviation of these masses.
The masses, x grams, of a random sample of 1000 pebbles on a different beach were also found.
It was proposed that the distribution of these masses should be modelled by the random variable
X- N(200, 3600).
(b) Use the model to find P(150 <X< 210).
(c) Use the model to determine x, such that P(160 <X<x,)=0.6. giving your answer correct
to five significant figures.
It was found that the smallest and largest masses of the pebbles in this second sample were 112g
and 288 g respectively.
(d) Use these results to show that the model may not be appropriate.
(e) Suggest a different value of a parameter of the model in the light of these results.
Transcribed Image Text:As part of a research project, the masses, m grams, of a random sample of 1000 pebbles from a certain beach were recorded. The results are summarised in the table. Mass (g) 50 < m < 150 150 < m < 200 200 <m < 250 250 < m < 350 Frequency 162 318 355 165 (a) Calculate estimates of the mean and standard deviation of these masses. The masses, x grams, of a random sample of 1000 pebbles on a different beach were also found. It was proposed that the distribution of these masses should be modelled by the random variable X- N(200, 3600). (b) Use the model to find P(150 <X< 210). (c) Use the model to determine x, such that P(160 <X<x,)=0.6. giving your answer correct to five significant figures. It was found that the smallest and largest masses of the pebbles in this second sample were 112g and 288 g respectively. (d) Use these results to show that the model may not be appropriate. (e) Suggest a different value of a parameter of the model in the light of these results.
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