In: Statistics and Probability
Parameter Calculations
A survey of 250 voters was conducted to determine who they would vote for in an upcoming election for sheriff. Fifty-five percent said they would vote for Longmire.
What is the best unbiased estimate of the population proportion
that will vote for Longmire (in other words, what is ?)
Find the margin of error E that corresponds to a 90% confidence
Interval.
Construct the 90% confidence interval about the population
proportion p.
Based on your results, can you conclude that Longmire will win the
sheriff election?
What sample size would be required to estimate the true proportion
of voters voting for Longmire within 3% at a 95% confidence level?
Assume
The following are the batting averages of 16 randomly selected baseball players in MLB:
0.235
0.288
0.308
0.244
0.301
0.267
0.220
0.267
0.289
0.281
0.271
0.269
0.276
0.260
0.212
0.190
Calculate the mean and standard deviation of the batting
averages.
Find the margin of error E that corresponds to a 95% confidence
Interval.
Construct the 95% confidence interval about the population
mean.
The current Twins average is 0.246 (Top 13 batters). Based on your
confidence interval results, compare the Twins’ average to the
estimated league average.
What sample size would be required to estimate the population mean
within 0.05 at a 90% confidence level? (Use the sample standard
deviation above to estimate the population standard deviation.)
Q-2. 16 randomly selected baseball players in MLB
(a)
Sample Standard Deviation, s | 0.032936049145781 |
Variance (Sample Standard), s2 | 0.0010847833333333 |
Population Standard Deviation, ? | 0.03189019245787 |
Variance (Population Standard), ?2 | 0.001016984375 |
Total Numbers, N | 16 |
Sum: | 4.178 |
Mean (Average): | 0.261125 |
Standard Error of the Mean (SEx?): | 0.0082340122864454 |
(b) The margin of error shows the level of accuracy that a random sample of a given population has.
here no sample size given
If population and sample size same so margin of error is 0
(c) ? = M ± Z(sM)
where:
M = sample mean
Z = Z statistic determined by confidence
level
sM = standard error =
?(s2/n)
Calculation
M = 0.261125
t = 1.96
sM = ?(0.031892/16) =
0.01
? = M ± Z(sM)
? = 0.261125 ± 1.96*0.01
? = 0.261125 ± 0.01562581
So [0.24549919, 0.27675081]
(d) 0.246 lie in this confidence interval
You can be 95% confident that the population mean (?) falls between 0.24549919 and 0.27675081.
(e) If population size is 16
So under these conditions sample size is also 16