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Statistics Class 16 3/26/2012

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**Estimating a Population mean: π known**

We are going to use the point estimate π₯ , to estimate the population mean using confidence intervals, when πis known.

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**Estimating a Population mean: π known**

We are going to use the point estimate π₯ , to estimate the population mean using confidence intervals, when πis known. Usually you donβt know π if you donβt know the population mean.

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**Estimating a Population mean: π known**

We are going to use the point estimate π₯ , to estimate the population mean using confidence intervals, when πis known. Usually you donβt know π if you donβt know the population mean. We require either normality or π>30 for the most part. We actually require a loose normality that is that there are not too many outliers and the data sort of has a bell shape.

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**Estimating a Population mean: π known**

Constructing a Confidence Interval for π (with π known) Verify that the requirements are satisfied.

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**Estimating a Population mean: π known**

Constructing a Confidence Interval for π (with π known) Verify that the requirements are satisfied. (Sample is simple random, π is known, and distribution is either normal or π>30.) Find the critical value associated with the desired confidence level.

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**Estimating a Population mean: π known**

Constructing a Confidence Interval for π (with π known) Verify that the requirements are satisfied. (Sample is simple random, π is known, and distribution is either normal or π>30.) Find the critical value associated with the desired confidence level. Evaluate the margin of error πΈ= π§ πΌ/2 β π π

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**Estimating a Population mean: π known**

Constructing a Confidence Interval for π (with π known) Verify that the requirements are satisfied. (Sample is simple random, π is known, and distribution is either normal or π>30.) Find the critical value associated with the desired confidence level. Evaluate the margin of error πΈ= π§ πΌ/2 β π π Construct π₯ βπΈ, π₯ +πΈ

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**Estimating a Population mean: π known**

Constructing a Confidence Interval for π (with π known) 5. Round If using the original data set, round to one more decimal than the original set If using summary statistics round to the same place as the sample mean. Or Zinterval

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**Estimating a Population mean: π known**

A simple random sample of 40 salaries of NCAA football coaches has a mean of $415,953. Assume π = $463,364. Find the best point estimate of the mean salary of all NCAA football coaches. Construct a 95% confidence interval estimate of the mean salary of NCAA football coach. Does the confidence interval contain the actual population of mean of $474,477?

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**Estimating a Population mean: π known**

Determining the sample size Required to Estimate π. The sample size π required to estimate π is given by the formula: π= π§ π/2 π πΈ 2 Round up to the next larger whole number.

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**Estimating a Population mean: π known**

How many integrated circuits must be randomly selected and tested for time to failure in order to estimate the mean time to failure? We want a 95% confidence that the sample mean is within 2 hr. of the population mean, and the population standard deviation is known to be 18.6 hours.

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**Estimating a Population mean: π Not known**

In this section we learn to estimate the population mean when π is not known. Since π is typically unknown in real life this is a useful method as it is practical and realistic. The sample mean π is the best point estimate of the population mean π. When π is not know we use a Student t distribution to find our critical values.

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**Estimating a Population mean: π Not known**

If a population is normally distributed, then the distribution of π‘= π₯ βπ π π is a Student t distribution for all samples of size n.

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**Estimating a Population mean: π Not known**

If a population is normally distributed, then the distribution of π‘= π₯ βπ π π is a Student t distribution for all samples of size n. The number of degrees of freedom for a collection of sample data is the number of sample values that can vary after certain restrictions have been imposed on all data values. The number of degrees of freedom is often abbreviated as df.

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**Estimating a Population mean: π Not known**

For us the number of degrees of freedom is simply the sample size minus 1. Degrees of freedom =πβπ

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**Estimating a Population mean: π Not known**

For us the number of degrees of freedom is simply the sample size minus 1. Degrees of freedom =πβπ Find the critical t value corresponding to a confidence level of 95% for a sample of size π=7.

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**Estimating a Population mean: π Not known**

Constructing a Confidence Interval for π (with π unknown) Verify requirements are satisfied(Simple random sample, normal dist. or π>30).

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**Estimating a Population mean: π Not known**

Constructing a Confidence Interval for π (with π unknown) Verify requirements are satisfied(Simple random sample, normal dist. or π>30). Using πβ1 degrees of freedom find the critical value π‘ π/2 corresponding to the desired confidence level.

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**Estimating a Population mean: π Not known**

Constructing a Confidence Interval for π (with π unknown) Verify requirements are satisfied(Simple random sample, normal dist. or π>30). Using πβ1 degrees of freedom find the critical value π‘ π/2 corresponding to the desired confidence level. Evaluate the margin of error πΈ= π‘ πΌ/2 βπ / π .

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**Estimating a Population mean: π Not known**

Constructing a Confidence Interval for π (with π unknown) Verify requirements are satisfied(Simple random sample, normal dist. or π>30). Using πβ1 degrees of freedom find the critical value π‘ π/2 corresponding to the desired confidence level. Evaluate the margin of error πΈ= π‘ πΌ/2 βπ / π . Find π₯ βπΈ, π₯ +πΈ .

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**Estimating a Population mean: π Not known**

Constructing a Confidence Interval for π (with π unknown) Verify requirements are satisfied(Simple random sample, normal dist. or π>30). Using πβ1 degrees of freedom find the critical value π‘ π/2 corresponding to the desired confidence level. Evaluate the margin of error πΈ= π‘ πΌ/2 βπ / π . Find π₯ βπΈ, π₯ +πΈ . Round to one extra decimal place if using original data. If using summary statistics round to the same number of decimal places as the sample mean.

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**Estimating a Population mean: π Not known**

Or use Tinterval

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**Estimating a Population mean: π Not known**

In a test of the Atkins weight loss program, 40 individuals participated in a randomized trial with overweight adults. After 12 months, the mean weight loss was found to be 2.1 lb, with a standard deviation of 4.8 lb What is the best point estimate of the mean weight loss of all overweight adults who follow the Atkins program? Construct a 99% confidence interval estimate of the mean weight loss for all such subjects. Does the Atkins program appear to be effective? Is it practical?

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**Estimating a Population mean: π Not known**

Important properties of the t distribution. The Student t distribution is different for different sample sizes.

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**Estimating a Population mean: π Not known**

Important properties of the t distribution. The Student t distribution is different for different sample sizes. The Student t distribution has the same general symmetric bell shape as the standard normal distribution, but reflects the greater variability that is expected with small samples.

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**Estimating a Population mean: π Not known**

Important properties of the t distribution. The Student t distribution is different for different sample sizes. The Student t distribution has the same general symmetric bell shape as the standard normal distribution, but reflects the greater variability that is expected with small samples. The Student t distribution has a mean of t=0

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**Estimating a Population mean: π Not known**

Important properties of the t distribution. The Student t distribution is different for different sample sizes. The Student t distribution has the same general symmetric bell shape as the standard normal distribution, but reflects the greater variability that is expected with small samples. The Student t distribution has a mean of t=0 The standard deviation of a t distribution varies with the sample size but is always larger than 1.

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**Estimating a Population mean: π Not known**

Important properties of the t distribution. The Student t distribution is different for different sample sizes. The Student t distribution has the same general symmetric bell shape as the standard normal distribution, but reflects the greater variability that is expected with small samples. The Student t distribution has a mean of t=0 The standard deviation of a t distribution varies with the sample size but is always larger than 1. As n gets large the t distribution becomes more like the standard normal distribution.

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**Estimating a Population mean: π Not known**

Method Conditions Use z distribution π known and normal dist. Pop. or π and n > 30 Use t distribution π unknown and normal dist. Pop. π unknown and n > 30 Other method If nβ€30 and Population not normal

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**Estimating a Population mean: π Not known**

Use the given data to decide whether to use ZInterval or Tinterval π=9, π₯ =75, s=15 and population has a normal dist. π=5, π₯ =20, π =2 and the population is very skewed. π=12, π₯ =98.6, π=0.6 and the population is normal. π=75, π₯ =98.6, π=0.6 and the population is very skewed π=75, π₯ =98.6, π =0.6 and the population is very skewed.

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**Estimating a Population mean: π Not known**

Listed below are 12 lengths (in minutes) of randomly selected movies. Construct a 99% confidence interval estimate of the mean length of all movies. Assuming that it takes 30 min to empty a theater after a movie, clean it, allow time for the next audience to enter, and show previews, what is the minimum time that a theater manager should plan between start times of movies, assuming that this time will be sufficient for typical movies?

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Quiz 13 When Mendel conducted his famous genetics experiments with peas, one sample of offspring consisted of 428 green peas and 152 yellow peas. Find a 95% confidence interval estimate of the percentage of yellow peas. Based on his theory of genetics, Mendel expected that 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not 25%, do the results contradict Mendelβs Theory? Why or why not.

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Homework!! 7-3: 1-9 odd, 13,15, odd. 7-4: 1-12, odd.

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Estimates and sample sizes Chapter 6 Prof. Felix Apfaltrer Office:N763 Phone: 212-220 74 21 Office hours: Tue, Thu 10am-11:30.

Estimates and sample sizes Chapter 6 Prof. Felix Apfaltrer Office:N763 Phone: 212-220 74 21 Office hours: Tue, Thu 10am-11:30.

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