Answer:
a: no the sample size is too small
b: Yes, the distribution is normal with a mean of 40 and standard deviation of 12
Step-by-step explanation:
a: If n < 30, we need to know that the sample is normally distributed or else we can't determine anything. When sample sized get very large, they usually resemble normally distributed data sets so we can still make conjectures even if the data isn't officially normally distributed
b: The question tells us that the sample is normally distributed, so even though n < 30, we can still make conjectures about the population
Answer:
A) plot a point on 9.8 on age 9 and 11 on age 7
B) Negative
C) line of best fit is just going through the middle
Answer:
yes because u can use g times any thing to get the right answer
Step-by-step explanation:
Answer:
the mean of the sampling distribution for the proportion of supporters with sample size n = 165 is 0.5.
Step-by-step explanation:
According to the Central Limit Theorem, assuming the sampling is random and sample size is big enough (≥30) the mean of the sampling distribution is the population mean.
Therefore the mean of the sampling distribution for the proportion of supporters with sample size n = 165 is 0.5
Total people in the cafeteria = 7 + 48 + 45 = 100
There are 45 boys.
The probability would be the number of boys over the total number of people:
45/100, which simplifies to 9/20
