Answer:
the required number of samples to contain the population mean = 136
Step-by-step explanation:
From the Empirical rule, If a data is normally distributed, then about 68% of the population lies within one standard deviation from mean.
Now, if we suppose that the mean of a normally distributed population is 300, and 200 simple random samples are drawn from the population. i.e. μ = 300
And;
Number of simple random samples: n = 200
Thus, by implication, we would expect about 68% of 200 samples confidence intervals to contain the population mean .
Hence,
Required number of samples = 68% of 200
This gives ;
0.68 x 200 = 136
Thus , the required number of samples = 136
33+9=42. 42-40=2. These simple calculations show that two people must have raised there hands for both because the sum of the two groups who raised hands is two more than the amount of people in the actual class
Answer:
Step-by-step explanation:
For a male student who has a measured pulse rate of 52 beats per minute.
Raw Score, X =52 beats per minute.
Therefore:
Since the usual pulse rates are within 2 standard deviations of the mean, a z-score of -1.49 tells us that the selected student's pulse rate is within the usual pulse rates.
Answer:
7000
Step-by-step explanation:
