WorksheetsAP questions 7th
Total questions: 78
Worksheet time: 57mins
Name
Class
Date
1.
9.1 A researcher wants to determine how many cars teenagers have owned since they got their license. The mean number of cars is 2.1 and a sample of students at NCHS showed a sample mean of 2.5 cars. What are the appropriate hypotheses for the significance test?
a)
H₀: μ = 2.1; Hₐ < 2.1
b)
H₀: μ = 2.1; Hₐ ≠ 2.1
c)
H₀: μ = 2.1; Hₐ > 2.1
d)
H₀: μ = 2.1; Hₐ < 2.5
e)
H₀: μ = 2.1; Hₐ > 2.5
2.
9.1 To increase the power of the significant test you can: I. increase sample size (n) II. decrease the significance level (⍺) III. decrease beta (β)
a)
only I
b)
only II
c)
only III
d)
I, II, and III
e)
I and III
3.
9.1 You are starting a pet grooming business and want to determine how many pets are owned in the surrounding area. To make a significant profit, there must at least 2 pets per household. You take a random sample from 60 households in the area to see if your business would be profitable. What consequences would occur from a Type I error?
a)
You would reject the null because it is false, and open a business that would not be profitable in that area.
b)
You would reject the null when it is actually correct, and open a business that would not be profitable in that area.
c)
You would not reject the null which is actually false, and not open a business that would be profitable in that area.
d)
You would not reject the null because it is true, and not open a business that would be profitable in that area.
e)
You would not reject the null because it is true, and open a business that would not be profitable in that area.
4.
9.2 A teacher is taking a random survey of 15 high school kids and wants to see if at least 60% of students are in favor of flex days. What condition(s) is not met?
a)
Random condition
b)
Normal condition
c)
Independent condition
d)
Random and Normal conditions
e)
Random and independent conditions
5.
9.2 The school wants to see if more than half of the student population likes the inclusion of sandwiches during lunch. They take a random survey of 300 kids, in which 190 kids say they do. Determine the standard deviation and test statistic.
a)
σ = .0278, z = -4.7923
b)
σ = .0278, z = 4.6188
c)
σ = .0289, z = -4.7923
d)
σ = .0289, z = 4.6188
e)
σ = .0289, t = -4.7923
6.
9.2 A shoe store owner believes his sandals will sell better when summer hits. Before summer, the sandals made up 23% of his total sales. After the warmer weather started, the owner recorded that 167 of the 500 pairs sold were sandals. Are his claims accurate? Perform a significance test at the ⍺ = .05 level.
a)
p < .05, so we can reject the null and conclude that the owner's claims are correct.
b)
p < .05, so we can reject the null and conclude that the owner's claims are false.
c)
p > .05, so we fail to reject the null and conclude that the owner's claims are correct.
d)
p > .05, so we fail to reject the null and conclude that the owner's claims are false.
e)
not enough information to conduct test
7.
7.1 What is true of both a statistic and a parameter
a)
Statistics describe populations, parameters describe samples
b)
statistics describe only means, parameters describe only variance
c)
statistics use the symbol p, parameters use the symbol p̂
d)
statistics use the symbol x̄, parameters use the symbol μ
e)
both statistics and parameters come from sampling distributions
8.
7.1 A GOOD sampling distribution should have
a)
a high variance
b)
the same standard deviation as the population
c)
the same mean as the population
d)
a low number of samples taken
e)
a normal bell curve shape, always
9.
7.1 If the sample size of a sample is increased
a)
the variance will decrease
b)
the bias will decrease
c)
the bias and varaince will increase
d)
the standard deviation will increase
e)
the sampling distribution will become an unbiased estimator
10.
7.2 If 0.387% of a population has a rare disease, what should the mean proportion of the populations sampling distibution be
a)
3.87
b)
0.387
c)
0.0387
d)
0.00387
e)
none of these are correct
11.
7.2 What condition should be met before using the formula s = sqrt(pq/n)
a)
np >= 10 and nq >= 10
b)
n <= 10
c)
npq <= 20
d)
n >= 30
e)
pq < 1
12.
7.2 An unbiased sampling distribution's mean is found to be 43.7% and it used a sample size of 24. Is the data normal.
a)
yes because the distribution is unbiased
b)
no because the distribution is unbiased
c)
yes because np = 10.488 >= 10 and nq = 13.512 >= 10
d)
yes because np = 10.488 > 10 and nq = 13.512 > 10
e)
none of these are correct
13.
6.1 You want to find the expected value of a discrete random variable in a sample. Which formula would you use?
a)
μx = x1p1 + x2p2 + . . . + xnpn
b)
x̅x = x1p1 + x2p2 + . . . + xnpn
c)
μx = ( Σ xi ) / n
d)
x̅x = ( Σ xi ) / n
e)
x̅x = ( Σ xipi) / n
14.
6.1 The mean GPA for sophomore students at a school is found to be 3.5. The standard deviation is found to be 0.7. Interpret the standard deviation in context.
a)
On average, a randomly selected sophomore student’s GPA will differ from the mean by about 0.7 points.
b)
In a sample of 100 students, the mean of their scores differed from the population mean by 0.7.
c)
The probability of a student having a GPA of 3.5 is 0.7 or 70%.
d)
A randomly selected sophomore has a probability of 0.7 of having a 3.5 GPA or higher.
e)
If a student’s mean is actually 3.5, they will differ from their peers by an average of 0.7 points.
15.
6.1 You are given a probability distribution of a variable, X, in a table with 30 different values. How could you show that the probability distribution is legitimate?
a)
30 values is greater than 10, meeting the normal requirement for the problem.
b)
Using the information the probability distribution gives you, calculate the expected value of the variable, X, and ensure that it is greater than 10.
c)
The probability of each value is either 0 or 1.
d)
The probability of each value lies between 1 and 10.
e)
The probability of each value lies between 0 or 1 and all of the probabilities add up to 1.
16.
11.1 Which conditions must be met to perform a goodness-of-fit test?
a)
random, normal, independent
b)
just random
c)
random, large sample size, independent
d)
random, normal, large sample size, independent
e)
random and independent
17.
11.1 Which is an outcome of a goodness-of-fit test on the calculator?
a)
p-value
b)
x^2 value
c)
contribution values
d)
p-value and x^2 value
e)
all of the above
18.
11.1 What does a goodness-of-fit test compare?
a)
null and alternative hypothesis
b)
observed and expected values
c)
x^2 and y^2
d)
z-score and t-score
e)
graphs
19.
9.3 Mr. Brown wanted to see if students’ post-test scores were significantly higher than their pre-test scores after his class. He randomly selected a group of 15 students whose test scores and test score differences were normally distributed after they took his course. He found the following scores:
Pre-Test: 66 78 69 80 85 57 71 75 83 70
Post-Test: 71 79 74 78 83 54 73 79 80 73
Mr. Brown advertises a mean improvement of 5 points, but his students doubt that the average improvement is this high. Conduct the appropriate test to determine the p-value of Mr. Brown’s class scores.
Pre-Test: 66 78 69 80 85 57 71 75 83 70
Post-Test: 71 79 74 78 83 54 73 79 80 73
Mr. Brown advertises a mean improvement of 5 points, but his students doubt that the average improvement is this high. Conduct the appropriate test to determine the p-value of Mr. Brown’s class scores.
a)
p = .003772
b)
p = 001886
c)
p = .0001282
d)
p = .9962
e)
p = .9981
20.
9.3 Kate takes a random sample of 23 normally distributed days with a mean of number of 9 birds hatched and a standard deviation of 1.6. She wants to find the true population mean for how many baby birds hatch per day. Which of the below is the 95% confidence interval for this true population mean.
a)
(8.060, 9.940)
b)
(21.770, 24.230)
c)
(8.427, 9.573)
d)
(9.017, 10.235)
e)
(8.3081, 9.6919)
21.
9.3 Tommy thinks that he drinks about 800 mL of water a day. To find an estimate for how much water he drinks a day, he documents how much water he drinks (mL) for an entire year and then randomly selects 25 days for his sample. His data is normally distributed with a mean of 789 mL with a standard deviation of 30.7 mL. Calculate a 99% confidence interval for Tommy’s average water intake per day and make a conclusion about the findings.
a)
Since 800 is within the confidence interval, Tommy can conclude there is sufficient evidence that he does drink 800 mL of water per day on average.
b)
Since 800 is not in the confidence interval, Tommy can conclude there is sufficient evidence that he drinks 800 mL of water per day on average.
c)
Since 800 is within the confidence interval, there is sufficient evidence to reject the claim that Tommy drinks 800 mL of water per day on average.
d)
Since 800 is not in the confidence interval, there is sufficient evidence to reject the claim that Tommy drinks 800 mL of water per day on average.
e)
Since 800 is not in the confidence interval, Tommy can conclude that he drinks 789 mL of water per day on average.
22.
4.1 You want to take an SRS of 5 students out of a sample of 50 students and are given this portion of a Random Number Table. 984 938 472 383 293 378. What assigned number student would first be chosen.
a)
98
b)
84
c)
9
d)
4
e)
38
23.
4.1 What type of nonsampling error might a person who chooses to conduct a survey over phone calls to randomly selected individuals run into?
a)
Undercoverage
b)
Response Bias
c)
Nonresponse Bias
d)
Bias sampling
e)
Volunteer response Bias
24.
4.1 A school wishes to survey their students on whether they like math or not. Unfortunately, the English teacher who conducted the survey has not taken AP Statistics before and stands the Calculus classroom and asks the first 25 students he finds. What type of error is found in this study?
a)
Convenience sampling
b)
Bias sampling
c)
Volunteer response sampling
d)
Option 1 and 2
e)
Option 1 and 2 and 3
25.
1.3 Steve's first 8 quiz grades in a marking period were [86, 71, 92, 88, 95, 98, 76, 82]. Calculate the mean.
a)
87
b)
86
c)
92
d)
-87
e)
-86
26.
1.3 Last year a small accounting firm paid each of its five clerks $20,000, two junior accountans $55,000 each, and the firm's owner $240,000. What is the mean salary paid at the firm and how many employees earn less than the mean?
a)
$70,000 ; 7
b)
$70,000 ; 5
c)
$55,000 ; 7
d)
$55,000 ; 5
e)
$95, 000 ; 7
27.
1.3 Which of the following is least affected if an extreme high outlier is added to your data?
a)
Median
b)
Mean
c)
Standard Deviation
d)
Range
e)
Maximum
28.
2.2 What is the proportion of observations from the standard Normal distribution that are greater than -1.78?
a)
0.0375
b)
0.9625
c)
0.0301
d)
0.9699
e)
None of these
29.
2.2 The proportion of observations from a standard Normal distribution with values less than 1.62?
a)
0.0526
b)
0.9463
c)
0.9474
d)
0.0537
e)
None of these
30.
2.2 Drawing a picture of the distribution and shading the area of interest under the curve is what step in the process of solving problems with Normal distributions (Name of step and #)
a)
Plan, Step #2
b)
State, Step #1
c)
Plan, Step #1
d)
Do, Step #1
e)
Do, Step #2
31.
2.1 The size of Jimmy's yearly rock collection has a mean of 44 rocks. If Jimmy's rocks have exceeded 50 in 25% of the years of collecting, what is the standard deviation?
a)
3.57
b)
8.89
c)
9.42
d)
12.1
e)
Cannot be computed from information.
32.
2.1 400 middle schoolers were required to take a math test. Jessisca received a 74 on it, which put her at the 81st percentile. This means:
a)
Jessica did worse than 74% of test takers.
b)
Jessica did better than 74% of test takers.
c)
Jessica did worse than 81% of test takers.
d)
Jessica did better than 81% of test takers.
e)
Jessica's score was better than the mean score.
33.
2.1 Honey was ocllected from 20 different honey-combs accross the country, and the amount of honey was recorded. The mean and st. dev. of the recordings are 18.91 and 4.23, respectively. If 1.5 ounces of honey was added to the recordings and then multiplied by .80, the honey measurements will be:
a)
15.31, 4.30
b)
15.31, 3.38
c)
15.13, 4.30
d)
15.13, 3.38
e)
15.13, 4.23
34.
5.1 You read online that when playing a card game with 4 other people, the probability that each of the four players are dealt exactly one ace is about .11. This means that
a)
In a very large number of deals, the percent of deals on which each player has one ace will be very close to 11%
b)
In every 100 deals, each player has one ace exactly 11 times
c)
In a very large number of deals, the average number of aces in a hand will be close to .11.
d)
In one million card deals, the number of deals on which each player hass one ace will be exactly 110,000.
e)
None of these
35.
5.1 If a fair coin is tossed 6 times and the outcomes are THHHHH, then the probability that heads appears on the next toss is
a)
1
b)
less than 0.5
c)
0
d)
0.5
e)
greater than 0.5
36.
5.1 Kara makes 37% of her shots from the field during the season. To simulate whether a shot hits or misses, you would assign random digits as following:
a)
Two digits simulate one shot; 00 to 37 are a hit and 38 to 99 are a miss.
b)
One digit simulates one shot; 3 and 6 are hits; everything else is a miss
c)
Two digits simulate one shot; 00 to 36 are a hit and 37 to 99 are a miss.
d)
One digit simulates one shot; odd digits are a hit and even digits are a miss.
e)
Two digits simulate one shot; 01 to 36 are a hit and 37 to 99 and 00 are a miss.
37.
5.2 In a random table of digits (such as Table D), each of the digits is equally likely to be any of 0, 1, 2, 3, 4, 5, 6, 7, 8, or 9. What is the probability that a digit in the table is 6 or greater?
a)
43626
b)
43565
c)
43475
d)
43595
e)
43506
38.
5.2 If P(A)=90/178, P(B)=103/178, and P(A and B)=19/178, use the general addition rule to find P(A or B).
a)
193/178
b)
176/178
c)
19/178
d)
32/178
e)
174/178
39.
5.2 A game consists of drawing three cards at random from a deck of playing cards. You win $3 for each red card that is
drawn. It costs $2 to play. For one play of this game, the sample space S for the net amount you win (after deducting the
cost of play) is
drawn. It costs $2 to play. For one play of this game, the sample space S for the net amount you win (after deducting the
cost of play) is
a)
S = {$0, $1, $2, $3}
b)
S = {−$6, −$3, $0, $6}
c)
S = { –$2, $1, $4, $7}
d)
S = { –$2, $3, $6, $9}
e)
S = {$0, $3, $6, $9}
40.
10.1 Which of the following are conditions that need to be met for comparing 2 proportions? I. np ≥ 10, nq ≥ 10 II. n1p1, n1(1-p1), n2p2, and n2(1-p2) are all at least 10 III. n ≤ 30
a)
Only I
b)
Only II
c)
Only III
d)
II & III
e)
I & III
41.
10.1 Males and females were asked if they like cats or not. Of the 69 males sampled, 52 said yes and of the 131 females sampled, 120 said yes. Construct a 95% confidence interval.
a)
(-.2746, -.0502)
b)
(-67.29, -66.71)
c)
(.1163, .2171)
d)
(-.6829, -.6771)
e)
Not enough information given
42.
10.1 A trial of the effect of essential oils on the common cold assigned people to using either peppermint oil or no oils. To ensure random assignment we can compare the two groups: 3,396 of the 19,541 saw improvement using essential oils within 3 days., and 4,929 of the 29,294 of the control said they saw improvement within 3 days. How significant is is the observed difference. Use a 5% significance level.
a)
Since the p-value is greater than .05, we fail to reject the null and and do not have enough evidence to to conclude a statistically significant difference
b)
Since the p-value is smaller than .05, we reject the null and and conclude a statistically significant difference.
c)
Since the p-value is greater than .05, we reject the null and and do not have enough evidence to to conclude a statistically significant difference.
d)
Since the p-value is smaller than .05, we reject the null and and conclude a statistically significant difference.
e)
Since the p-value is smaller than .05, we reject the null and and conclude a statistically significant difference.
43.
10.2 Which of the following conditions must be met for a mean interval problem? I) a random sample or SRS must be taken II) the population size must be greater than 10 III) less than 10% of the total population fulfill independence
a)
only I
b)
I & II
c)
I and III
d)
I, II, and III
e)
none of the above
44.
10.2 Researchers created a cup that would automatically refill itself with water as they drank throughout the day. The people in the other group had servers refill their drink once they were less than a fourth left in the cup. The question is whether that affected how much water people drank, 40 individuals were randomly selected to be in both groups and their date is collected. DATA: Regular Refills: n=40, mean= 9.3 oz, s=6.9 oz; Magic Automatic Refills: n=40, n=15.4oz, s=9.7 oz PROBLEM: Using the data, find a 90% confidence interval the difference between the two groups.
a)
(-9.853, -2.347)
b)
(-7.547, -1.9474)
c)
(-9.237, -2.963)
d)
(-8.482, -2,8824)
e)
(-9.278, -2.922)
45.
10.2 Researchers created a cup that would automatically refill itself with water as they drank throughout the day. The people in the other group had servers refill their drink once they were less than a fourth left in the cup. The question is whether that affected how much water people drank, 40 individuals were randomly selected to be in both groups and their date is collected. DATA: Regular Refills: n=40, mean= 9.3 oz, s=6.9 oz; Magic Automatic Refills: n=40, n=15.4oz, s=9.7 oz PROBLEM: What is the confidence levek interpretation?
a)
We can be 90% confident that the true mean is found between the interval. The true difference shows us we can be 90% confident that those with the refilling cup drank less than those with the ordinary cup.
b)
We can be 90% confident that the true mean is found between the interval. The true difference shows us we can be 90% confident that those with the ordinary cup drank less than those with the refilling cup.
c)
We can be 90% confident that the true mean does not lie in the interval. The true difference shows us we can't be 90% confident that those with the ordinary cup drank less than those with a refilling cup.
d)
We can be 90% confident that the true mean does not lie in the interval. The true difference shows us we can't be 90% confident that those with the refilling cup drank less than those with a ordinary cup.
e)
We are 90% confident that we can fail to reject the null.
46.
3.1 Which of the following scatterplots would have the highest correlation between explanatory and response variables?
a)
r = 0
b)
r = 0.67
c)
r = -0.13
d)
r = -0.90
e)
We must see the scatterplot to determine the answer
47.
3.1 Calculate correlation r of the following data:
x = 5 7 3.2 4 9.5 6.7
y= 4.5 6.2 3 6 7 5.2
x = 5 7 3.2 4 9.5 6.7
y= 4.5 6.2 3 6 7 5.2
a)
r = 0
b)
r = 0.5939
c)
r = 0.5278
d)
r = 2.4185
e)
r = 0.7706
48.
3.1 Scatterplots are useful for plotting...
a)
quantitative data only
b)
qualitative data only
c)
both quantitative and qualitative data
d)
nothing, bar graphs are always superior
e)
none of the above
49.
12.1 Which of the following condition does NOT need to be met for a linear regression problem?
a)
n is greater than or equal to 30
b)
individual observations are independent
c)
relationship between x and y is linear
d)
standard deviation of y is the same for all values of x
e)
data is from a well-designed random sample
50.
12.1 Students in class are measuring hand span and foot length (in inches) of a random sample of 20 students from a large high school. The least-squares regression analysis gives a data output of b=.84042 and SEь=.08091. Construct a 95% confidence interval.
a)
(.1699, .6704)
b)
(.6704, .8404)
c)
(.7009, .9799)
d)
(.8404, 1.0104)
e)
(.6704, 1.0104)
51.
12.1 Interpret the confidence interval.
a)
We can be 95% confident that there is a correlation between x and y.
b)
We can be 95% confident that the true slope of the population regression line does not fall in the interval.
c)
We can be 95% confident that the true slope of the population regression line falls in the interval.
d)
We can be 95% confident that there is no correlation between x and y.
e)
We cannot be 95% confident that the true slope of the population regression line lies in the interval.
52.
6.3 Andrew read that 1 in 5 cars break down each year. His family owns 3 different types of cars, and Andrew records whether any of the cars has broken down each year until one does. The distribution is:
a)
geometric; p = 1/3
b)
geometric; p = 1/5
c)
binomial; n = 3; p = 1/3
d)
binomial; n = 3; p = 1/5
e)
We cannot know without seeing the data
53.
6.3 The probability of rolling a 3 on your fifth roll of a perfectly balanced die is:
a)
0.1667
b)
0.4822
c)
0.08037
d)
0.8333
e)
0.05401
54.
6.3 A certain tree species has a probability of .23 of retaining its leaves through the month of November. On December 1, scientists examine a random sample of 500 trees to check if they retained their leaves. This distribution is
a)
binomial; p = .23; n = 500
b)
binomial; p = 1/500; n = 500
c)
geometric; p = .23
d)
binomial; p = .77; n = 500
e)
We cannot know without seeing the data
55.
3.2 The formula for regression lines is...
a)
a^2 + b^2 = c^2
b)
b = r (Sy/Sx)
c)
ŷ = a+bx
d)
y=x^2
e)
y=√x
56.
3.2 What is Y1 equal to in the following data set?
x = 5 7 3.2 4 9.5 6.7
y= 4.5 6.2 3 6 7 5.2
x = 5 7 3.2 4 9.5 6.7
y= 4.5 6.2 3 6 7 5.2
a)
0
b)
0.5278
c)
2.507
d)
0.476
e)
0.771
57.
3.2 How do you find the residuals of y values? What is the mean of the residuals of the y values in all data sets?
a)
Predicted data - Observed data, 0
b)
Observed data - Predicted data, 1
c)
Predicted data - Observed data, 1
d)
Predicted data - Observed data, It varies based on data set
e)
Observed data - Predicted data, 0
58.
7.3 How can the Normal condition for samplign distributions of the sample mean x̅ be satisfied when the sample size n is 15?
a)
Change the data to fit all the conditions.
b)
Graph the sample's data and determine if the plot look Normal.
c)
If the population distribution is Normal, so is the sample distribution
d)
Just state Normal condition is satisfied without checking.
e)
B and C
59.
7.3 The sample mean x̅ is an unbiased estimator. What does this mean?
a)
The individuals are chosen unbiasedly so there are accurate results.
b)
The mean of the static's sampling distribution is equal to the parameter's population.
c)
It estimates the number of individuals who were unbiased.
d)
The mean of the distribution was estimated to the unbiased chosed data.
e)
The mean of the sample is relatively close to the population's mean.
60.
7.3 Which of the following is an incorrect statement?
a)
The central limit theorem concludes that non-normal data is Normal when n is lower than 30 individuals.
b)
The sampling distribution of the mean is the mean of ALL possible random samples of a given size.
c)
There is a chance that the sample mean originates from the center of the true sampling distribution
d)
The mean of the sampling distribution ALWAYS equals the mean of the population.
e)
When the sample size is large enough, the shape of the sampling distribution approximately a normal curve.
61.
6.2 The height of a high school basketball player chosen at random is a random variable, X. X is found to have a mean of 5.8 feet and a standard deviation of 0.24 feet. What would the mean and standard deviation of another randomly chosen basketball player, X, be?
a)
2.9, 0.12
b)
0.2, 5.8
c)
6.0, 0.25
d)
5.8, 0.24
e)
11.6, 0.48
62.
6.2 A trains runs every five hours from one side of the country to the next. The number of passengers, P, on the train has a mean of 12.7 and a standard deviation of 2.3. The cost to ride the train is $12. Find the mean of how much money the train company makes, M.
a)
12.7
b)
6.35
c)
152.4
d)
15
e)
12
63.
6.2 A class is given a 100-point test. The mean score of this first test, F, is found to be 87. A second test is given the following day on the same subject. The mean score of this second test, S, is found to be 93. What would the combined mean of F and S be?
a)
180
b)
6
c)
80
d)
90
e)
More information needed
64.
1.1 What is the 2nd step in the 4 step process
a)
Plan
b)
Conclude
c)
Do
d)
Start
e)
Midway
65.
1.1 What is it when there is an association between 2 variables that holds for each individual value of a 3rd variable can be changed or even revered when the data for all values of the 3rd variable are combined
a)
none of the below
b)
Megan's Agenda
c)
Simon's Paradox
d)
Simpson's Paradox
e)
Marshall's Plan
66.
1.1 Which of the following would not be described as an "individual"
a)
raindrops
b)
Obama
c)
cat
d)
school
e)
summer
67.
1.2 Which of the following displays individual values on a number line
a)
dotplot
b)
stemplot
c)
histogram
d)
outlier
e)
shape
68.
1.2 Which of the following observes values that lie outside the overall pattern of a distribution
a)
dotplot
b)
skewed
c)
outlier
d)
symmetric
e)
stemplot
69.
1.2 What should you do when examing any graph
a)
look for overall pattern
b)
look for notable departures
c)
discuss shape, center, spread, outliers when comparing quantitative data
d)
all the above
e)
none of the above
70.
11.2 The degrees of freedom are
a)
2
b)
10
c)
8
d)
4
e)
5
71.
11.2 The cell that contributes the most to the chi-square statistic is
a)
Male - Not at all
b)
Femal - Certainly
c)
Male - Probably not
d)
Female - Probably not
e)
All cells eqaully contribute
72.
11.2 The appropriate null hypothesis for a chi-square test is
a)
There are equal proportions of male and female high school students
b)
There is no difference in this sample between gender and perceived likelihood of having kids
c)
There is no difference in the population between gender and perceived likelihood of having kids
d)
There is no association in the sample between gender and perceived likelihood of having kids
e)
There is no association in the population between gender and perceived likelihood of having kids
73.
8.2 An SRS of 12,457 juniors and seniors in the area were asked if they attended prom, only 3,200 said "Yes". Construct a 99% confidence interval.
a)
(.0159, .0186)
b)
(.159, .186)
c)
(.024, .0266)
d)
(.2468, .2669)
e)
(.244, .299)
74.
8.2 From an SRS of 60 kids, 5 kids said they like fruit. Are all the values normal?
a)
Yes, all below 10
b)
No, 3 values are below 10
c)
No, 2 values are below 10
d)
No, only 1 values is below 10
e)
No, all 4 values are below 10
75.
8.2 Joan took an SRS of 7,000 high school students in Illinois, 4,520 said they want to move from Illinois after high school. Construct a 99% Confidence Interval.
a)
(.630, .660)
b)
(.640, .665)
c)
(.0630, .0660)
d)
(.530, .560)
e)
(.0530, .0560)
76.
5.3 Suppose a cup is filled with colored balls and follows the probability model Color: red- 0.3, orange-0.1, yellow-0.1, green-0.1, blue-0.1, purple-0.3. If you draw one ball and it is a warm color, what is the probability that the color is orange?
a)
0.1
b)
0.3
c)
0.5
d)
0.6
e)
none of these
77.
5.3 A lifeguard needs to take two tests in order to get certified. The first aid test has a probablility of 0.9 of passing. The swim test has a probability of 0.8. If these two tests are independent of each other, what is the probability that the lifeguard does not get certified?
a)
0.72
b)
0.38
c)
0.02
d)
0.28
e)
0.08
78.
5.3 According to a study, 82% of ISU is white. 14% is black, and 4% are Asian. Also, 15% of wihtes, 70% of blacks, and 90% of Asians are involved in clubs. What percent of the entire population is involved in clubs?
a)
0.221
b)
0.123
c)
0.098
d)
0.036
e)
0.257
100 %
