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2023 Spring Semester Exam Review

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Question 1
1.

Ch. 5 Normal Distribution
For the first group of questions - use your half sheet on the 68-95-99.7 Rule (Empirical Rule).
A new group of IQ tests are standardized to a Normal Model, N(110,14).

Answer:
What percent of the data values fall between the IQ's of 96 and 124?

Question 2
2.
Using the Normal Distribution from #1:
How many standard deviations from the mean is the top 16% of the IQ scores? _______

What is the IQ score needed to be in the top 16%? _______

What percentile would this be? _______
Hint: remember, percentiles are the percent to the LEFT of a given point

Then shade the corresponding area under the normal curve in the 'show your work' area below.
Question 3
3.
Using the Normal Distribution from #1:
How many standard deviations is the top 2.5% from the mean? _______

What is the IQ score needed to be in the top 2.5%? _______

What percentile would this be? _______
Hint: remember, percentiles are the percent to the LEFT of a given point

Then shade the corresponding area under the normal curve in the 'show your work' area below,.
Question 4
4.
Using the Normal Distribution from #1:
What percent of the IQ scores are 82 or lower? _______

What percent of the IQ scores are 124 or lower? _______

What percent of the IQ scores are 68 or lower? _______
Hint: remember, percentiles are the percent to the LEFT of a given point
Question 5
5.
Fill in the blanks:
Using the normal distribution model:
N(3.25, 1.4) Mean= _______ Standard Deviation= _______
Question 6
6.

What does the z-score mean?
Suppose that a Normal model described student scores in a history class.
Francisco has a standardized score (z-score) of +2.5.

This means that Francisco’s score...

Question 7
7.

If the heights of 6th graders at Danville Middle School follow a normal distribution with the mean height of 58.5 inches and the standard deviation of 2.45 inches, give the notation for the Normal model.
Use the format: N(mean, std dev)

Question 8
8.
The Delorean speeds from 'Back To The Future' follow a Normal Distribution, with the model N(80, 7.7).
What percent of the runs will give the Delorean a speed less than 68.45 mph?
First: what is the z-score for 68.45? _______ Enter all decimal places for this one.
Use the z-score formula:


Second: answer,
what is the proportion of runs that will give the Delorean a speed less than 68.45 mph? _______

THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 9
9.
What percent of the runs will give the Delorean a speed greater than 85 mph?
First: what is the z-score for the speed? _______
Remember to round to two places.



Second: be careful, I am asking for the percent GREATER than 85 mph, think about what you need to do, collaborate!
What is the proportion of speeds less than 85 mph? _______
Third: What do you need to do with the value to find the proportion higher?
Add, subtract, multiply or divide? _______

What percent of the runs will give the Delorean a speed greater than 85 mph? _______
Hint: the area to the left and the right need to add to 1.0, the total area under the curve.
THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 10
10.
What percent of the runs will give the Delorean a speed between 70 and 95 mph?
Remember it follows the model: N(80, 7.7).
First: what is the z-score for the speed of 70 mph? _______
Remember to round to two places.
what is the z-score for the speed of 95 mph? _______



Second: what proportion corresponds to 70 mph? _______
what proportion corresponds to 95 mph? _______

Third: answer, what will you do with the two proportions?
Add, subtract, multiply or divide? _______
What percent of the runs will give the Delorean a speed between 70 and 95 mph? _______
Hint: you want the area BETWEEN the two points, you will need to subtract!

THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 11
11.

High levels of cholesterol in the blood increase the risk of heart disease. For teenage boys, the distribution of blood cholesterol is approximately normal with mean μ = 151.6 milligrams of cholesterol per deciliter of blood (mg/dl) and standard deviation σ = 25 mg/dl.

What is the Normal model for this situation?
Use the format: N(mean, std. dev.)

Question 12
12.
What proportion of teen boys have cholesterol levels less than 100 mg/dl?
First: what is the z-score for 100 mg/dl? _______ Remember to round to two places.


Second: What is the proportion? _______

THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 13
13.
Cholesterol levels of 200 or higher are considered high for teenagers.
What percent of teen boys have high cholesterol?
First: what is the z-score for 200 mg/dl? _______



Second: What is the proportion to the left of the z-score? _______
What do you need to do with the value to find the proportion higher?
Add, subtract, multiply or divide? _______
Third: what is the proportion GREATER than 200 mg/dl? _______

THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 14
14.
Cholesterol levels between 170 mg/dl and 200 mg/dl are considered borderline high for teenagers. What percent of teen boys have borderline high cholesterol levels?
First: what is the z-score for 170 mg/dl? _______
what is the z-score for 200 mg/dl? _______


Second: What is the proportion to the left of 170? _______
What is the proportion to the left of 200? _______

Third: what will you do with the two proportions? Add, subtract, multiply or divide? _______
what percent of teen boys have borderline high cholesterol levels? _______

THEN: Shade in the probability area that you are calculating in the 'show your work' area.
Question 15
15.

People with z-scores greater than 2.5 on an IQ test are considered as geniuses.
IQ tests have a score of a mean of 100 and SD of 16 points.

What is the cut off score to show someone is a genius? Hint: use the z-score.

Question 16
16.

Chapter 6 Sampling Distributions
A study of voting chose 663 registered voters at random shortly after an election. Of these, 72% said they had voted in the election. Election records show that only 56% of registered voters voted in the election.
Match up the following statements about these percentages?

Draggable itemarrow_right_altCorresponding Item
All voters
arrow_right_alt
Parameter
72%
arrow_right_alt
Statistic
arrow_right_alt
arrow_right_alt
Question 17
17.

Question 18
18.

Question 19
19.

Question 20
20.
At a high school, 85% of students are right-handed.
Let X = the number of students who are right-handed in a random sample of 10 students from the school.
What is the sample size? n= _______
What is the mean of the sampling distribution? _______ enter as a proportion, not a percent.
What is the standard deviation of the sampling distribution? _______ Round to three places past the decimal point.
Question 21
21.

Scores on the mathematics part of the SAT exam in a recent year followed a normal distribution with mean 515 and standard deviation 114.
You choose an SRS of 100 students and calculate mean SAT Math score.
Match up the following for this situation.

Draggable itemarrow_right_altCorresponding Item
100
arrow_right_alt
sample size (n)
515
arrow_right_alt
arrow_right_alt
arrow_right_alt
Question 22
22.
In a congressional district, 52% of the registered voters are Democrats. An SRS of 100 voters is going to be polled.
What is the mean of the sampling distribution of the sample proportion of democrat voters? _______

What is the standard deviation of the sampling distribution of the sample proportion of democrat voters? _______ Round to two places past the decimal.

What is the probability of getting less than 50% Democrats in a random sample of size 100?
_______
Keep your answer as the decimal proportion, keep all decimal places (there will be four)
Question 23
23.

Use the information in the previous question.
What is the probability of getting a sample of 100 registered voters with more than 65% democrats?
Keep all decimals.

Question 24
24.

Question 25
25.
The amount that households pay service providers for access to the Internet varies quite a bit, but the mean monthly fee is $48 and the standard deviation is $20.
The distribution is not normal: Many households pay a base rate for low-speed access, but some pay much more for faster connections so the distribution is strongly right skewed.

A sample survey asks an SRS of 500 households with Internet access how much they pay per month. Let X-bar be the mean amount paid by the members of the sample.

Calculate the mean and standard deviation of the sampling distribution of the sample means.
Sampling distribution sample mean = _______
Sampling distribution of sample means standard deviation = _______
Round to three places past the decimal.
Question 26
26.

Question 27
27.
Use the information in the previous two questions:
In a sampling distribution, find the probability that the average amount paid by the sample of households exceeds $50.

z-score = _______ round to two places past the decimal

Probability = _______ Keep the probability as a decimal proportion
Question 28
28.
Use the information from the previous 3 questions:
In a sampling distribution, what is the probability that the average amount paid by the sample of households is less than $46.50.
z-score = _______ round to two places past the decimal

Probability = _______ Keep your answer as a decimal proportion.
Question 29
29.

Question 30
30.
In a recent year, 73% of first-year college students identified “being very well-off financially” as an important personal goal.
A state university finds that 132 of an SRS of 200 of its first-year students say that this goal is important.
Construct a 95% confidence interval for the true proportion of all first-year students at the university who would identify being well-off as an important personal goal.
Check your formula chart, round to three places past the decimal.
Lower bound: _______
Upper bound: _______
Question 31
31.

Based on your previous answer:
Explain what the confidence interval tells you about whether the national value of 73% holds at this university.

Question 32
32.
Melissa and Madeline love pepperoni pizza, but sometimes they are disappointed with the small number of pepperonis on their pizza.
To investigate, they went to their favorite pizza restaurant at 10 random times during the week and ordered a large pepperoni pizza. Here are the number of pepperonis on each pizza.
47 36 25 37 46 36 49 32 32 34
Statsmedic.com gives an average of 37.4 pepperonis and a Sx= 7.662
Construct and interpret a 95% confidence interval for the true mean number of pepperonis on a large pizza at this restaurant.

Check your formula chart, round to three places past the decimal.
Lower bound: _______
Upper bound: _______
Question 33
33.

Based on your previous answer:
Explain what the confidence interval tells you about whether the manager's requirement of 40 pepperonis on each large pizza is being followed.

Question 34
34.

Question 35
35.

Question 36
36.

Chapter 8
Identify the types of Errors when performing a significance test:

  • Ho is TRUE and you REJECT Ho
  • Ha is TRUE and you FAIL TO REJECT Ho
  • Ha is TRUE and you REJECT Ho
  • Ho is TRUE and you FAIL TO REJECT Ho
  • Type I Error
  • Type II Error
Question 37
37.

Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that less than 5% of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of 1000 adults. Of these, 43 get the flu.
Ho: p > 0.05
Ha: p < 0.05

What is a Type I Error in this setting?
What is a Type II Error in this setting?
Which would be a more serious mistake in this setting—a Type I error or a Type II error?

  • Deciding that less than 5% of adults who use the vaccine will get the flu and less than 5% actually get the flu.
  • Deciding that 5% or more of adults who use the vaccine will get the flu, so the vaccine is not used and less than 5% will actually get the flu.
  • Deciding that 5% or more of adults who use the vaccine will get the flu so the vaccine is not used and 5% or more will actually get the flu.
  • Deciding that less than 5% of adults who use the vaccine will get the flu, so the vaccine is used and 5% or more will actually get the flu.
Question 38
38.

Question 39
39.
Zenon decided to investigate whether students at his school prefer name-brand potato chips to generic potato chips. He randomly selected 50 students and had each student try both types of chips, in random order.
Overall, 34 of the 50 students preferred the name-brand chips.
Zenon wants to perform a test at the α = 0.05 significance level of
H0: p = 0.5 versus Ha: p > 0.5,
where p = the true proportion of all students at his school who prefer name-brand chips.

Sample proportion = _______
Sampling distribution standard error = _______ round to three places past the decimal
Standardized test statistic (z statistic) = _______ round to two places past the decimal
What is the p value for having this sample proportion given the null value is true? _______ Keep all places past the decimal.
Question 40
40.

Question 41
41.
Suppose that you want to perform a test at the α = 0.10 significance level of
H0 : μ = 5
Ha: μ ≠ 5
A random sample of size n = 20 from the population of interest yields mean= 5.21 and
Sx = 0.79.
Calculate the standard error for the sampling distribution: _______ round to 3 places past the decimal
Calculate the standardized test statistic: _______ round to 3 places past the decimal
Degrees of freedom = _______
Give the lower and upper probabilities for the P-value interval: _______ - _______
Question 42
42.

is 2.5 times the class average.
56%
Sample
663 regsitered voters
Population
Vermont is particularly beautiful in early October when the leaves begin to change color. At that time of year, a large proportion of cars on Interstate 91 near Brattleboro have out-of-state license plates.
Suppose a Vermont state trooper randomly selects 50 cars driving past Exit 2 on I-91, records the state identified on the license plate, and calculates the proportion of cars with out-of-state plates.
What is the Vermont state trouper recording?
Which of the following describes the sampling distribution of the sample proportion in this context?
He is recording the proportion of cars with license plates in the sample of 50 cars passing this exit.
He is recording the proportion of cars with instate license plates in the sample of 50 cars passing this exit.
He is recording the proportion of cars with out of state license plates in the sample of 50 cars passing this exit.
The distribution of state for all cars passing this exit
The distribution of the proportion of cars with out-of-state plates in the trooper’s sample of 50 cars passing this exit
The distribution of state for all cars in the trooper’s sample of cars passing this exit
The distribution of the proportion of cars with out-of-state plates in all possible samples of 50 cars passing this exit
He is recording the proportion of cars without a license plate in the sample of 50 cars passing this exit.
A polling organization wants to estimate the proportion of voters who favor a new law banning smoking in public buildings.
The organization decides to increase the size of its random sample of voters from about 1500 people to about 4000 people right before an election.
The effect of this is to
and reduce the variability of the estimate.
and reduce the bias of the estimate.
increase the precision
decrease the precision
and increase the bias of the estimate.
and increase the variability of the estimate.
The central limit theorem is important in statistics because it allows us to use the normal distribution to find probabilities involving the sample mean if the
sample size is reasonably large for any population shape (n>30).
sample size is reasonably large (n>30).
The population distribution is normal OR
population size is reasonably large.
The population distribution is normal AND
population size is reasonably large for any population shape.
114
11.4
Using the information above, suppose an actual sample of 100 of the registered voters actually resulted in 65% democrats. Would you have convincing evidence that the estimated 52% democrat voters was incorrect? Explain.
the probability of getting 65% democrats is greater than 5%
the results are very unusual
the results are not unusual
the probability of getting 65% democrats is less than 5%
the results give convincing evidence that the percentage has not changed and remains 52%.
the results give convincing evidence that the actual percentage is more than 52%
No
Yes
Use the information from the previous question:
What is the shape of the population and the sampling distribution of x-bar ? Justify.
The population is strongly right skewed but
due to the sample size less than 30.
due to the sample sizes greater than or equal to 30.
the sampling distribution of sample means will also be right skewed
The population is roughly normal so
the sampling distribution of sample means will be roughly normal
Chapter 7: Confidence Intervals
Tim purchased a random sample of clementines at a local grocery store. The 95% confidence interval for the mean weight of all clementines at this store is 76.6 grams to 90.1 grams. Interpret this confidence interval.
95% will capture the true mean weight of a clementine
in the next sample purchased each clementine will weigh between 76.6 - 90.1 grams.
95% of clementines weigh between 76.6 - 90.1 grams.
If we create many many random samples of clementines and calculate 95% confidence intervals for each sample
We are 95% confident that
the interval from 76.6 - 90.1 grams captures the true weight of clementines.
because the confidence interval does not include the national value.
because the confidence interval does not include the required amount of 40 pepperonis.
The puzzle editor of a game magazine asked 43 randomly selected subscribers how long it took them to complete a certain crossword puzzle. The 99% confidence interval for the median completion time for all subscribers is 15.2 to 18.6 minutes.
Explain what would happen to the length of the interval if the sample size were increased to 200 students.
increasing sample does not affect variability.
increasing sample size increases variability.
increasing sample size decreases variability.
The length of the interval would remain the same because
The length of the interval would decrease because
The length of the interval would increase because
The puzzle editor of a game magazine asked 43 randomly selected subscribers how long it took them to complete a certain crossword puzzle. The 99% confidence interval for the median completion time for all subscribers is 15.2 to 18.6 minutes.
Explain what would happen to the length of the interval if the confidence level were increased to 99%.
The length of the interval would remain the same because
The length of the interval would decrease because
The length of the interval would increase because
increasing confidence level decreases the margin of error and increases the accuracy.
increasing confidence level increases the margin of error and decreases the accuracy.
increasing confidence level does not affect the margin of error or accuracy.
No Error
Type I Error
Type II Error
A college president says, “More than two-thirds of the alumni support my firing of Coach Boggs.” The president’s statement is based on 200 emails he has received from alumni in the past three months.
The college’s athletic director wants to perform a test of
H0: p = 2/3 versus Ha: p > 2/3, remember: 2/3 = 0.667
where p = the true proportion of the college’s alumni who favor firing the coach.
Have the conditions been met for calculating a significance test?
Select all correct answers:
We can proceed with confidence
Large Counts Condition has not been met
Normal/Large Sample condition has been met
Random Sample Condition has not been met
We can proceed but with caution
Large Counts Condition has been met
Random Sample condition has been met
Normal/Large Sample condition has not been met
What is the conclusion based on the P value above?
P value < alpha level
We fail to reject the null hypothesis
we do not have convincing evidence that more than 50% of the students prefer name brand potato chips
we have convincing evidence that more than 50% of the students prefer name brand potato chips
We reject the null hypothesis
P value > alpha level
Based on an alpha level of 0.10, give the conclusion for the significance test.
Fail to reject the null hypothesis
P-value < alpha level
P-value > alpha level
Reject the null hypothesis
we have convincing evidence for the alternative hypothesis
we do not have convincing evidence for the alternative hypothesis