Quiz
Biostats: Test 1
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Questions in this quiz (86)
1The average salary of all female workers is $35,000. The average salary of all male workers is $41,000. What must be true about the average salary of all workers?
- AIt must be $38,000.
- BIt must be larger than the median salary.
- CIt could be any number between $35,000 and $41,000.
- DIt must be larger than $38,000.
2For the question: How many times have you accessed the Internet this week? The response will be a count with a minimum value of 0. What type of variable is this (continuous vs discrete, nominal vs ordinal vs I/R)? Answer: [blank_start]discrete I/R[blank_end]
- Adiscrete I/R
3The median age of five people in a meeting is 30 years. One of the people, whose age is 50 years, leaves the room. What is the median age of the remaining four people in the room?
- A40 years.
- B30 years.
- C25 years.
- DThis cannot be determined from the information given.
4The Environmental Protection Agency records data on the fuel economy of many different makes of cars. Some of the variables they collect are listed below. Identify each variable as discrete or continuous and nominal or ordinal or interval/ratio.
The manufacturer of the car (GM, Ford, Mazda, etc.) Answer: [blank_start]discrete/nominal[blank_end]
Mileage of the car (miles per gallon) Answer: [blank_start]continuous/IR[blank_end]
Weight of the car (in lbs.) Answer: [blank_start]continuous/IR[blank_end]
Size of the car (small, medium, full-size, pick-up truck, etc.). Answer: [blank_start]discrete/ordinal[blank_end]- Adiscrete/nominal
- Bcontinuous/IR
- Ccontinuous/IR
- Ddiscrete/ordinal
5Which of the following sets of four numbers has the largest possible standard deviation?
- A7, 8, 9, 10
- B5, 5, 5, 5
- C0, 0, 10, 10
- D0, 1, 2, 3
6A sample of 20 salaries was taken of employees in a large company. The following are the annual salaries (in thousands of dollars). For convenience, the data have been ordered.
28 31 34 35 37 41 42 42 42 47
49 51 52 52 60 61 67 72 75 77
What is the median salary of the 20 employees?
[blank_start]$48,000[blank_end]
A histogram of the 20 salaries is slightly skewed to the right. What do we know about the mean salary of these 20 salaries, based on this information?
The mean is probably [blank_start]higher than the median.[blank_end]
What is the first quartile of the 20 salaries?
[blank_start]$39,000.[blank_end]
What is the interquartile range of the 20 salaries?
[blank_start]$21,500.[blank_end]- A$48,000
- B$39,000.
- C$21,500.
- Dhigher than the median.
7Suppose each employee in the company receives a $3000 raise for next year (each employee’s salary is increased by $3000). For each of the following summary measures, indicate how it would change after the raise.
The median salary: [blank_start]increase by $3000[blank_end]
The interquartile range of the salaries: [blank_start]remains unchanged[blank_end]
The standard deviation of the salaries: [blank_start]remains unchanged[blank_end]- Aincrease by $3000
- Bremains unchanged
- Cremains unchanged
8Fitbit charge needs to be able to last a fairly long time. The run-times (time until it needs to be recharged) of knock-off fitbits made by a particular company are normally distributed with a mean of 2 hours and a standard deviation of 20 minutes.
What percentage of these devices lasts longer than 3 hours?- A.13%
- B.14%
- C.09%
- D.20%
9Fitbit charge needs to be able to last a fairly long time. The run-times (time until it needs to be recharged) of knock-off fitbits made by a particular company are normally distributed with a mean of 2 hours and a standard deviation of 20 minutes.
What is the third quartile for the run time distribution?- A2 hours
- B2 hours and 13.5 minutes
- C2 hours and 40 minutes
- D3 hours and 4.5 minutes
10Fitbit charge needs to be able to last a fairly long time. The run-times (time until it needs to be recharged) of knock-off fitbits made by a particular company are normally distributed with a mean of 2 hours and a standard deviation of 20 minutes.
Fitbits that have a run-time in the highest 10% of the run-time distribution are highly sought after. How long does the fitbit have to last for it to fall in this highly sought-after class?- A2 hours and 5 minutes
- B2 hours and 25.6 minutes
- C3 hours and 3 minutes
- D3 hours and 15 minutes
11On average, what do we expect the sample mean to be equal to?
- APopulation Mean
- BSample Mean
- CStandard Deviation
12Researchers select a sample from a population to learn more about characteristics in that sample.
- ATrue
- BFalse
13Researchers select a sample from a population to learn more about characteristics in that sample.
Step 1: State the [blank_start]null and alternative hypotheses[blank_end]
Step 2: Determine the [blank_start]level of significance[blank_end]
Step 3: Compute the [blank_start]test statistic[blank_end]
Step 4: [blank_start]Make a decision.[blank_end]- Anull and alternative hypotheses
- Blevel of significance
- Ctest statistic
- DMake a decision.
14The decision in hypothesis testing is to reject or not reject which hypothesis: the null or alternative hypothesis?
- AThe null
- BAlternative hypothesis
15The criterion or level of significance is typically set at what probability value?
- A.01
- B.10
- C.05
- D.50
16A test statistic is associated with a p value less than .05 or 5%. What is the deci¬sion for this hypothesis test?
- AAccept the null
- BReject the null
- CRetain the null
17If the null hypothesis is rejected, then did we reach significance?
- Ayes
- Bno
18A simple random sample of eight drivers was selected. All eight drivers are insured with the same insurance company, and all have similar auto insurance policies. The following table lists their driving experiences (in years) and monthly auto insurance premiums.
Driving experience (years) 5 2 12 9 15 6 25 16
Monthly auto insurance premium ($) 64 77 50 71 44 56 42 60
Which of the two variables is the independent variable? The dependent variable?- AIV: Driving experience (in years) DV: insurance premium
- BIV: insurance premium DV:Driving experience (in years)
19Suppose the actual mean high school GPA of all students admitted to Johns Hopkins University in 2016 is 4.2. A simple random sample of 25 freshman at Johns Hopkins University found that the mean high school GPA was 3.8. Which value(s) can be labeled as parameter(s)?
- A4.2
- B3.8
- C4.2 and 3.8
- D50
20Suppose the actual actual mean high school GPA of all students admitted to Johns Hopkins University in 2016 is 4.2 with SD 0.5. What is the mean and SD of the sampling distribution of the high school GPA in repeated simple random samples of 25 Johns Hopkins freshmen?
- A4.3 and 0.02
- B4.2 and 0.1
- C4.1 and 0.01
- D4.2 and 0.02
21Which of the following is NOT a type of probability sample?
- APurposive sample
- BSimple random sample
- CStratified sample
- DMultistage sample
- EAll of the above
22A simple random sample of 50 students will be taken from a local community college, which has a total of about 1500 students. Another simple random sample of 50 students will be taken from a large state university, which has a total of approximately 20,000 students. The sampled students will each answer a one-question survey which reads: “About how many songs do you have on your phone?” The sample average number of songs will be calculated for the two sets of students.
What can we conclude about the sampling distribution variability in the sample average number of songs of the students sampled from the small community college as compared to that in the sample average of the students sampled from the large stat university?- AThe sample mean from the small community college has less sampling variability than that from the large stat university, because there are fewer students at the small community college.
- BThe sample mean from the small community college has more sampling variability than that from the large stat university, because there are more students at the large stat university.
- CThe sample mean from the small community college has about the same sampling variability as that from the large stat university, because the sample sizes are equal.
- DIt is impossible to make any statements about the sampling variability of the two sample means, because the students surveyed came from different schools.
23When figure skaters need to find a partner for “pair figure skating,” it is important to find a partner who is compatible in weight. The weight of figure skaters can be modeled by a normal distribution. For male skaters, the mean is 170 lbs. with a standard deviation of 10 lbs. For female skaters, the mean is 110 lbs. with a standard deviation of 5 lbs. Let the random variable
X = the weight of female skaters and the random variable Y = the weight of male skaters.
What is P(X < 100)?- A0
- B0.0228
- C0.1587
- D0.9772
24When figure skaters need to find a partner for “pair figure skating,” it is important to find a partner who is compatible in weight. The weight of figure skaters can be modeled by a normal distribution. For male skaters, the mean is 170 lbs. with a standard deviation of 10 lbs. For female skaters, the mean is 110 lbs. with a standard deviation of 5 lbs. Let the random variable
X = the weight of female skaters and the random variable Y = the weight of male skaters.
Approximately 90% of the male skaters weigh more than how many pounds?- A157 lbs
- B163.5 lbs
- C176.5 lbs
- D183 lbs
25For the following statement, write increases or decreases as an answer. The likelihood that we reject the null hypothesis (increases or decreases):
a. The closer the value of a sample mean is to the value stated by the null hypothesis? Answer: [blank_start]decrease[blank_end]
b. The further the value of a sample mean is from the value stated in the null hypothesis? Answer: [blank_start]increase[blank_end]- Adecrease
- Bincrease
26A researcher selects a sample of 49 students to test the null hypothesis that the average student exercises 90 minutes per week. What is the mean for the sampling distribution for this population of interest if the null hypothesis is true?
- A30 minutes
- B60 minutes
- C90 minutes
- D120 minutes
27What type of error do we directly control?
- AType 1
- BType 2
28What type of error do we directly control?
- AType 1
- BType 2
29What type of error is associated with decisions to retain the null?
- AType 1
- BType 2
30What type of error is associated with decisions to reject the null?
- AType 1
- BType 2
31State the two correct decisions that a researcher can make.
- Areject a true null hypothesis, do not reject a false null hypothesis.
- Bdo not reject a true null hypothesis, reject a false null hypothesis.
32Which of the following sampling schemes describes a multistage sample of 200 undergraduate students at a large university?
- AObtain a list of the undergraduate students at the large university; assign consecutive numbers to the students on the list; use a random number table to select 200 university students.
- BObtain a list of all freshmen, sophomores, juniors, and seniors; use a random number table to randomly select 50 students from each class.
- CRandomly select 10 colleges; within each college, randomly select 5 majors; from each of the selected majors randomly select 4 undergraduate students.
33A researcher conducts a one–independent sample z test. The z statistic for the upper-tail critical test at a .05 level of significance was z = 1.84. What is the decision for this test?
- AAccept the null
- BReject the null
- CRetain the null
34A researcher conducts a hypothesis test and finds that the probability of select¬ing the sample mean is p = .0689 if the value stated in the null hypothesis is true. What is the decision for a hypothesis test at a .05 level of significance?
- AReject the null
- BDo not reject the null
- CRetain the null
35Which type of test, one-tailed or two-tailed, is associated with greater power to detect an effect when the null hypothesis is false?
- AOne tailed
- BTwo tailed
36The weights of medium oranges packaged by an orchard are normally distributed with a mean of 14 oz. and a standard deviation of 2 oz.
Ten medium oranges will be randomly selected from a package. What is the sampling distribution of the sample mean weight of a random sample of ten medium oranges? Note: N(14,2) indicates a normal distribution with population mean 14 and SD 2.- AN(14, 2)
- BN(14, 0.63)
- CN(14, 0.2)
- DN(1.4, 0.2)
37The weights of medium oranges packaged by an orchard are normally distributed with a mean of 14 oz. and a standard deviation of 2 oz.
Ten medium oranges will be randomly selected from a package. What is the sampling distribution of the number of oranges in the sample that weigh more than 14 oz.?- AN(14, 2)
- BN(14, 0.63)
- CB(14, 0.2)
- DB(10, 0.5)
38A sprinkler system is being installed in a newly renovated building on campus. The average activation time is supposed to be at most 20 seconds. A series of 12 fire alarm/sprinkler system tests result in an average activation time of 21.5 seconds. Do these data indicate that the design specifications have not been met? The hypotheses to be tested are H0: μ = 20 versus Ha: μ > 20, where μ = the true average activation time of the sprinkler system. Assume that activation times for this system are normally distributed with σ = 3 seconds.
What is the value of the observed test statistic?- Az= 2.00
- Bz= 1.05
- Cz= 1.73
- Dz= 2.51
39A sprinkler system is being installed in a newly renovated building on campus. The average activation time is supposed to be at most 20 seconds. A series of 12 fire alarm/sprinkler system tests result in an average activation time of 21.5 seconds. Do these data indicate that the design specifications have not been met? The hypotheses to be tested are H0: μ = 20 versus Ha: μ > 20, where μ = the true average activation time of the sprinkler system. Assume that activation times for this system are normally distributed with σ = 3 seconds.
What is the value of the P-value?- A.030
- B.042
- C.056
- D.1
40A sprinkler system is being installed in a newly renovated building on campus. The average activation time is supposed to be at most 20 seconds. A series of 12 fire alarm/sprinkler system tests result in an average activation time of 21.5 seconds. Do these data indicate that the design specifications have not been met? The hypotheses to be tested are H0: μ = 20 versus Ha: μ > 20, where μ = the true average activation time of the sprinkler system. Assume that activation times for this system are normally distributed with σ = 3 seconds.
Are the data statistically significant at the 5% significance level?- Ayes
- Bno
41A sprinkler system is being installed in a newly renovated building on campus. The average activation time is supposed to be at most 20 seconds. A series of 12 fire alarm/sprinkler system tests result in an average activation time of 21.5 seconds. Do these data indicate that the design specifications have not been met? The hypotheses to be tested are H0: μ = 20 versus Ha: μ > 20, where μ = the true average activation time of the sprinkler system. Assume that activation times for this system are normally distributed with σ = 3 seconds.
State you conclusion in non-statistical terms. What does the decision you made mean with respect to the question “Do these data indicate that the design specifications have not been met?”
[blank_start]Reject the null hypothesis[blank_end]- AReject the null hypothesis
42A sprinkler system is being installed in a newly renovated building on campus. The average activation time is supposed to be at most 20 seconds. A series of 12 fire alarm/sprinkler system tests result in an average activation time of 21.5 seconds. Do these data indicate that the design specifications have not been met? The hypotheses to be tested are H0: μ = 20 versus Ha: μ > 20, where μ = the true average activation time of the sprinkler system. Assume that activation times for this system are normally distributed with σ = 3 seconds.
If the true average activation time of the sprinkler system is, in fact, equal to 20 seconds, what type of error would you have made?- AType 1
- BType 2
43A highway safety researcher is studying the average maximum distance at which drivers are able to read a highway traffic sign. The designer of the sign claims it will be over 450 feet. Sixteen randomly selected drivers are asked at what distance they can still read the sign. The average maximum distance (in feet) of these 16 drivers is 498 feet with a standard deviation of 95 feet. The highway safety researcher wishes to use these data to test if the mean maximum distance at which drivers are able to read the sign is greater than 450 feet at a significance level of α = 0.05.
What are the hypotheses the highway safety researcher wishes to test?- AH0: μ = 450 versus Ha: μ > 450
- BH0: μ = 498 versus Ha: μ > 498
- CH0: μ = 450 versus Ha: μ > 498
- DH0: μ = 498 versus Ha: μ > 450
44A highway safety researcher is studying the average maximum distance at which drivers are able to read a highway traffic sign. The designer of the sign claims it will be over 450 feet. Sixteen randomly selected drivers are asked at what distance they can still read the sign. The average maximum distance (in feet) of these 16 drivers is 498 feet with a standard deviation of 95 feet. The highway safety researcher wishes to use these data to test if the mean maximum distance at which drivers are able to read the sign is greater than 450 feet at a significance level of α = 0.05.
What is the chance that the highway safety researcher will falsely accept the claim that the average maximum distance at which drivers are able to read the sign is greater than 450 feet?- A0.05
- B0.5
- C0.10
- D0
45A highway safety researcher is studying the average maximum distance at which drivers are able to read a highway traffic sign. The designer of the sign claims it will be over 450 feet. Sixteen randomly selected drivers are asked at what distance they can still read the sign. The average maximum distance (in feet) of these 16 drivers is 498 feet with a standard deviation of 95 feet. The highway safety researcher wishes to use these data to test if the mean maximum distance at which drivers are able to read the sign is greater than 450 feet at a significance level of α = 0.05.
What is the value of the observed test statistic for this test?- At= 2.02
- Bt= 3.05
- Ct= 1.04
- Dt= 0.05
46A highway safety researcher is studying the average maximum distance at which drivers are able to read a highway traffic sign. The designer of the sign claims it will be over 450 feet. Sixteen randomly selected drivers are asked at what distance they can still read the sign. The average maximum distance (in feet) of these 16 drivers is 498 feet with a standard deviation of 95 feet. The highway safety researcher wishes to use these data to test if the mean maximum distance at which drivers are able to read the sign is greater than 450 feet at a significance level of α = 0.05.
What can we say about the value of the P-value?- AP-value = 0.01 or 0.05 < P-value < 0.05
- BP-value = 0.031 or 0.025 < P-value < 0.05
- CP-value = 0.025 or 0.031 < P-value < 0.05
47A highway safety researcher is studying the average maximum distance at which drivers are able to read a highway traffic sign. The designer of the sign claims it will be over 450 feet. Sixteen randomly selected drivers are asked at what distance they can still read the sign. The average maximum distance (in feet) of these 16 drivers is 498 feet with a standard deviation of 95 feet. The highway safety researcher wishes to use these data to test if the mean maximum distance at which drivers are able to read the sign is greater than 450 feet at a significance level of α = 0.05.
Are the data statistically significant at a significance level of α = 0.05? Explain briefly.- AYes
- BNo
48Right skewed
- AMean greater than median
- BMean is less than median
49Left skewed
- AMean greater than median
- BMean is less than median
50Type II or B
- AAccepting an incorrect decition
-Decision to retain the null is incorrect
-False Negative - BRejecting a true claim
-Decision to reject the null is incorrect
-False Positive
- AAccepting an incorrect decition
51Type 1 or alpha
- AAccepting an incorrect decision
-Decision to retain the null is incorrect
-False Negative - BRejecting a true claim
-Decision to reject the null is incorrect
-False Positive
"Girl, I shouldn't have rejected you"
- AAccepting an incorrect decision
52A point estimate is typically reported with an interval estimate. Why?
- AUsing only a point estimate is associated with low certainty.
- BThe interval estimate gives researchers a higher level of confidence.
- CThe interval estimate adds certainty to the estimate of the population mean.
- Dall of the above
53A researcher reports with 90% confidence that 31% to 37% of Americans believe
in ghosts. What is the point estimate for this interval?- A31%
- B34%
- C37%
- D31% to 37%
54A researcher reports that college students consume an average of 3.6 alcoholic
drinks per week. What is the interval estimate in this example?- A3.6
- BThe interval estimate is not given.
55If the value stated by a null hypothesis is ________ the confidence interval, then
the decision would have likely been to retain the null hypothesis.- Ainside
- Boutside
56The confidence interval for one sample selected from a population with a known
variance is computed using a critical value for which type of test?- Az test
- Bt test
- Cnone
- Dboth A & B
57A researcher estimates the 95% CI for a sample with a mean of x-bar = 3.26 and a
standard error of 0.91. What is the upper confidence limit for this interval?- A1.48
- B2.35
- C4.17
- D5.04
58The confidence interval for samples selected from a population with an unknown
variance is computed using critical values from the t table. This is true for which of
the following types of samples?- Aone-sample
- Btwo-independent sample
- Crelated samples
- Dall of the above
59In a sample of 28 participants, a researcher estimates the 95% CI for a sample with
a mean of x-bar = 1.5 and an estimated standard error of 0.3. What is the
confidence interval at this level of confidence?- A95% CI 1.0, 2.0
- B95% CI 1.2, 1.8
- C95% CI 0.9, 2.1
- DThere is not enough information to answer this question.
60In a sample of 18 participants, a researcher estimates the 80% CI for a sample with
a mean difference equal to 8.8 and an estimated standard error for the difference
equal to1.8 (sdiff/√18). What is the upper confidence limit for this interval?- A6.4
- B7.0
- C10.6
- D11.2
61What is the lower confidence limit for this interval (see question above)?
- A6.4
- B7.0
- C10.6
- D11.2
62In a sample of 26 participants, a researcher estimates the 90% CI for a sample with
a mean difference of 0.6 and an estimated standard error for the difference scores
equal to 1.1. What is the upper confidence limit for this interval?- A-1.3
- B-0.5
- C1.7
- D2.5
63In a sample of 26 participants, a researcher estimates the 90% CI for a sample with
a mean difference of 0.6 and an estimated standard error for the difference scores
equal to 0.1. What is the upper confidence limit for this interval?- A0.77
- B-0.5
- C1.7
- D2.5
64Which of the following is a characteristic of confidence intervals?
- AThe less certain an estimate, the more precise the estimate.
- BThe more certain an estimate, the less precise the estimate.
- Cboth A & B
65The larger the level of confidence, the ________ precise the interval estimate.
- Amore
- Bless
66A researcher reduces her level of confidence from 99% to 90%. What will happen
to the precision of her estimate?- AThe estimate will be more precise.
- BThe estimate will be less precise.
- CThe precision of her estimate will not change.
- DIt depends on the size of the population.
67Which of the following words best describes certainty?
- Ainferential
- Bsignificance
- Cprecision
- Dconfidence
68Which of the following scales of measurement are analyzed using a nonparametric
test?- Ainterval and ratio data
- Bordinal and interval data
- Cnominal and ordinal data
- Dordinal and ratio data
69Which of the following scales of measurement are analyzed using a nonparametric
test?- Ainterval and ratio data
- Bordinal and interval data
- Cnominal and ordinal data
- Dordinal and ratio data
70Tests for ordinal data
- Aare nonparametric tests
- Bdo not measure variance to test for significance
- Cassume normality
- DA and B above.
71Which of the following gives the best explanation for why it would be
advantageous to convert the following scores to ordinal data?
Group 1 Group 2
40 19
44 24
49 29
55 39
50 38
44 133- ABecause the data are normally distributed.
- BBecause the data are split into two groups.
- CBecause there is an outlier in the data for Group 2.
- DBecause parametric tests are always preferred to nonparametric tests.
72The sign test is used as a nonparametric alternative to which parametric test?
- Aone-sample t-test
- Btwo-independent sample t-test
- Crelated samples t-test
- DBoth A & C
73The test statistic (x) for the sign test is equal to
- Avariability attributed to the groups divided by variability attributed to error
- Bthe number of pluses or minuses, whichever occurs most often
- Cthe number of scores that are less than or equal to the median value
- Dthe number of positive scores divided by the number of negative scores
74The Wilcoxon signed-ranks T test is used as a nonparametric alternative to which
parametric test?- Aone-sample t-test
- Btwo-independent sample t-test
- Crelated samples t-test
- DBoth A & C
75Which of the following best explains how to interpret the test statistic for the
Wilcoxon signed-ranks T?- AThe test statistic is interpreted the same as that for the related samples t-test.
- BThe larger the value of T, the more likely we are to reject the null hypothesis.
- CThe smaller the value of T, the more likely we are to reject the null
hypothesis. - DWe reject the null hypothesis when T is less than .05.
76For the Wilcoxon signed-ranks T, when T is less than the critical value, we decide
to- Aretain the null hypothesis
- Breject the null hypothesis
- Cnot enough information
77A researcher computes the Wilcoxon signed-ranks T test. She computes T = 68
using a sample of 24 participants. What is the decision for a two-tailed test at a .05
level of significance?- ARetain the null hypothesis.
- BReject the null hypothesis.
- CThere is not enough information to answer this question.
78The Mann-Whitney U test is used as a nonparametric alternative to which
parametric test?- Aone-sample t-test
- Btwo-independent sample t-test
- Crelated samples t-test
- DBoth A and C
79For the Mann-Whitney U test, we reject the null hypothesis when
- Avalues of U are greater than or equal to the critical value
- Bvalues of U are less than or equal to .05
- Cvalues of U are less than or equal to the critical value
- Dvalues of U are closer to ±1.0
80What is the null hypothesis for a Mann-Whitney U test?
- AThe number of scores above and below the median are equal.
- BThe median scores in two groups are equal.
- CThe mean differences between two groups are equal.
- DThe ranks in two groups are equal to 0.
81To compute the test statistic for the Mann-Whitney U test, we sum the ranks in two
groups. The test statistic is- Athe larger total
- Bthe smaller total
- Cthe average of the two totals
- Dthe product of the two totals
82To compute a two-independent sample t test, a researcher has to know many
values. Which of the following is NOT a value that the researcher must know to
compute this test?- Athe pooled sample variance
- Bthe pooled population variance
- Cthe sample size for both samples
- Dthe sample mean for both samples
83A researcher records the crying time (in minutes) of infants given oral
administration of sucrose (n = 12) or tap water (n = 16) prior to a heel prick. The
mean crying time in the sucrose group was 3.3±2.4 (M±SD) minutes; in the tap
water group, it was 7.3±1.6 (M±SD) minutes. If the null hypothesis is that there is
no difference in crying time, then what is the decision for this test?- ACrying time was significantly reduced among infants given the water solution
prior to a heel prick. - BCrying time was not reduced among infants given the sucrose solution prior to
a heel prick. - CCrying time was significantly reduced among infants given the sucrose
solution prior to a heel prick. - DCrying time was the same in both groups.
- ACrying time was significantly reduced among infants given the water solution
84A professor teaches a certain section of material using a lot of examples with sports
and cars to illustrate. He is concerned that this may have biased his instruction to
favor male students. To test this, he measures exam grades from this section of
material among women (n = 10) and men (n = 10). The mean score in the male
group was 84±4.0 (M±SD); in the female group, it was 78±8.0 (M±SD) points. If
the null hypothesis is that there is no difference in exam scores, then test the null
hypothesis at a .05 level of significance.- AExam scores were significantly higher in the male group, t(18) = 2.83, p < .05.
- BExam scores were the same between groups, t(18) = 2.12, p > .05.
- CExam scores were significantly higher in the male group, t(18) = 2.12, p <
.05. - DExam scores were the same between groups, t(18) = 1.00, p > .05.
85Two researchers (A and B) compute a two-independent sample t test. For both
tests, the mean difference between the two groups is 10, but the standard error is
smaller for Researcher A. Which test is more likely to result in a decision to reject
the null hypothesis?- AResearcher A
- BResearcher B
- CThe likelihood is the same for both researchers.
- DNot enough information
86Two researchers (A and B) compute a two-independent sample t test. For both
tests, the standard error is the same, but the mean difference between the groups is
larger for Researcher A. Which test is more likely to result in a decision to reject
the null hypothesis?- AResearcher A
- BResearcher B
- CThe likelihood is the same for both researchers.
- DNot enough information
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- Pharmacy Quiz on Biostats: Test 1, created by Ifeanyi A on 01/03/2017.
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- Ifeanyi A
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