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LiRa [457]
3 years ago
7

A certain statistic will be used as an unbiased estimator of a parameter. Let R represent the sampling distribution of the estim

ator for samples of size 35, and let S represent the sampling distribution of the estimator for samples of size 15. Which of the following must be true about R and S?
a. The expected values of R and S will be equal, and the variability of R will be less than the variability of S.
b. The expected values of R and S will be equal, and the variability of R will be equal to the variability of S.
c. The expected values of R and S will be equal, and the variability of R will be greater than the variability of S.
d. The expected value of R will be greater than the expected value of S, and the variability of R will be greater than the variability of S.
e. The expected value of R will be greater than the expected value of S, and the variability of R will be less than the variability of S.
Mathematics
1 answer:
7nadin3 [17]3 years ago
6 0

Answer:

c. The expected values of R and S will be equal, and the variability of R will be greater than the variability of S.

Step-by-step explanation:

This is Central Limit Theorem concept in which independent variables are added and form a normal distribution. The random sample of n sample size is selected which calculates normally distributed mean and variance. The expected value of samples distributor will be higher than the sample distribution.

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The rate at which the temperature changed = 3.1 °F/min

The duration of the change in temperature = 15 minutes

The relationship between the change in temperature, the rate of change in temperature and the time can be presented as follows;

3.1  ^{\circ} F/min =  \frac{ \delta T }{\delta t}  =  \frac{ \Delta T }{ \Delta t}

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Which gives;

∆T = 3.1°F/min × 15 minutes = 46.5 °F

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Answer:

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Step-by-step explanation:

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