Question

1-Which of the following sets of measures of association represent the values of the alternative hypothesis (HA)? Note that RD is risk difference, RR is risk ratio, and OR is odds ratio.

RD=0, RR=1, OR=2 |
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RD=2.0, RR=6.0, OR=6.7 |
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RD=0, RR=1, OR=1 |
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None of the above |

2-Which of the following statements is true about the confidence interval?

If you did the study 100 times and got 100 point estimates and 100 confidence intervals, in 95 of the 100 results, the true point estimate would lie within the given interval |
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The range within which the true measure of effect lies with a stated probability, or a certain degree of assurance (usually 95%) |
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The confidence interval is calculated around the point estimate, and quantifies the variability around the point estimate |
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All of the above |

3-Which of the following statistical tests is commonly used to test a hypothesis?

chi-square test |
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Student t-test |
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Z-test |
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All of the above |

4-Which of the following will not help to increase study precision (reduce random error)?

Using an accurate measuring instrument |
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Using an efficient study design |
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Using a small sample |
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Using repeat measures |

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Answer #1

Choose the correct options.

There is a positive association between alcohol consumption and
liver cancer. Explain the positive association between the two
variables. (2 points)
There is a negative (inverse) association between exercise and
cardiovascular disease. Explain the inverse association between the
two variables. (2 points)
Indicate each measure of association as Statistically
Significant (SS) or Not Statistically Significant (NSS). OR = odds
ratio; CI = confidence interval
____ OR = 1.91; 95% CI = 1.01-2.25 (1 point)
____ OR = 5.02; 95% CI...

Which of the following measures of effect are
statistically significant? Select all that apply.
A)Odds Ratio = 5.0, p-value = 0.04
B) Incidence Density Ratio = 2.0, 95% CI [0.9 - 3.1]
C) Attributable Risk = 0.5, 95% CI [0.1 - 1.1]
D) Population Attributable Risk = 0.1, 95% CI = [-0.1, 0.2]
E) Cumulative Incidence Ratio = 0.5, 95% CI = [0.1 - 0.9]
F) Odds Ratio = 20, p-value = 0.2

Which of the following is true ?
1)Using a single confidence interval,We may conduct
many hypothesis tests
2)Using a single hypothesis test,we may conduct many
confidence intervals

Which of the following is TRUE about the odds ratio for an
interval predictor variable?
a. If the odds ratio is 0, there is no association between the
predictor variable and the response.
b. If the odds ratio is negative, the odds of the event
happening decreases with unit increase in the predictor
variable.
c. If the odds ratio is greater than 1, the odds of the event
happening increases with unit increase in the predictor
variable.
d. All of...

1. The following are body mass index (BMI) scores measured in 12
patients who are free of diabetes and participating in a study of
risk factors for obesity. Body mass index is measured as the ratio
of weight in kilograms to height in meters squared. 25 27 31 33 26
28 38 41 24 32 35 40
a) Calculate the 95% confidence interval estimate of the true
BMI.
b) How many subjects would be needed to ensure that a 95%...

1 - Which of the following statements is true regarding a 95%
confidence interval? Assume numerous large samples are taken from
the population.
a. In 95% of all samples, the sample proportion will fall within 2
standard deviations of the mean, which is the true proportion for
the population.
b. In 95% of all samples, the true proportion will fall within 2
standard deviations of the sample proportion.
c. If we add and subtract 2 standard deviations to/from the sample...

Consider the data from Framingham
Heart Study as described by Shurleff (1970, 1974). The following
table gives the 16-year incidence of myocardial infarction (MI) in
Framingham, MA, for men aged 35 to 44 years, by level of serum
cholesterol. The data are shown below:
SC
(mg%) MI+ MI- Total
>250 10 125 135
<250 21 449 470
Total 31 574 605
Carry out appropriate test to evaluate possible association
between SC and incidence of MI, and calculate 95% confidence
intervals for risk difference (RD), risk ratio (RR).

Question 24 (1 point)
Which of the following statements is true?
a
Nominal GDP measures the dollar-value of the
goods and services produced in the economy during a year, at their
current prices.
b
Even if the economy continues to produce the same quantity of
goods and services, just because there is inflation (prices are
going up) nominal GDP will decrease.
c
The unemployment rate is the percentage of the
workforce that is not working but is actively looking for...

Which of the following statements about confidence intervals are
true?
I. A 95% confidence interval will contain the true μ 95% of the
time.
II. If P(|X̅ − μ| > 3) = 0.035. Then a value of μ that is 3
or less units away from X̅ will be included in the 99% confidence
interval.
III. The point estimate X̅ will be included in a 99% confidence
interval.

Please explain your answer
1 - Which of the following statements is true regarding a 95%
confidence interval? Assume numerous large samples are taken from
the population.
a. In 95% of all samples, the sample proportion will fall within 2
standard deviations of the mean, which is the true proportion for
the population.
b. In 95% of all samples, the true proportion will fall within 2
standard deviations of the sample proportion.
c. If we add and subtract 2 standard...

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