Download ID_994_MI-1-4- Medical knowledge and _English_sem_4

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What are the numerical values for skewness and kurtosis for a symmetrical (ideal) normal
0distribution?
and 0
1 and 1
10 and 10
100 and 100
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What are the numerical values for skewness and kurtosis define a normal distribution?
Equal to 0
Less then 1
Less then 10
Less then 100
Less then critical value
The purpose of a single-sample hypothesis test is to
Establish a correlation between an independent interval level variable and a dependent ordinal level
variable.
Provide an interval estimate of a population parameter.
Determine if a population parameter is equal to a specified "target" value
Provide a point estimate of a population parameter.
Determine sample mean.
The number of opportunities in sampling to compensate for limitations, distortions, and potential
weaknesses in a statistical procedure is called:
A sampling distribution.
Degrees of freedom.
A population mean is less than some specified value.
A sample mean is equal to some specified value.
Right answer not present
The null hypothesis of all single sample hypothesis tests of means will be stated as:
A population mean is equal to a specified value
A population mean is equal to a sample mean.
A population mean is equal to a sample variance.
Interval/ratio level … greater than 196
Nominal/ordinal level … greater than 196
Most statistical test formulas calculate the value of a statistical test effect in _______ units of
measure.
raw
score
standard deviation
squared
standard error
mean
We would FAIL to reject the null hypothesis when the test statistic value is smaller than.
standard error.
critical test score
mean.
degrees of freedom.
variance.
If a researcher summarizes his/her data by saying 38 ± 12, what does the 12 indicate?
The mean
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The kurthosis coefficient
The skewness coefficient
The standard deviation
The variance
Which of the following statements is true concerning null hypotheses?
The null hypothesis is vague, not pin-point.
The null hypothesis is a statement about the sample, not the population.
The null hypothesis comes from the researcher, not a formula.
The null hypothesis explain real-wodr object behavior.
All listed statements are right
What symbol denotes the null hypothesis?
N.H.
Hn
H1
H0
H2
Whereas the null hypothesis is symbolized as Ho, the alternative hypothesis is symbolized as Ha or
__ .
A.H.
HA.H.
H0
H1
Hz
As hyphothesis test result the numerical value that summarizes the sample data is called the
calculated value or the ______ .
critical value
null value
standardized statistic
test statistic
sample mean
When a researcher must determine the level of significance? before or after the sample data are
collected?
Before the sample data will be collected
Before the hyphothesis test method will be choosed
After the sample data was collected
After the hyphothesis test method was choosed
Right answer not present
What level of significance is used most frequently by applied researchers?
0.001
0.01
0.05
0.10
0.25
In a multiple regression, there will always be __ dependent variable(s) and __ independent
variable(s).
1;
2 or more
2 or more; 1
2; 2 or more
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2 or more; 2
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What purpose of the F-TEST calculation?
It is used to determine whether the means in two independent samples are equal
It is used to determine whether the variances in two independent samples are equal
It is used to determine the significance level
It is used to determine whether the standart deviation in two independent samples are equal
Right answer not present
What types of the Statistical Hypothesis Tests supported by MS Excel?
standard Z-TEST, T-TESTS, and F-TEST
Z-TEST and T-TESTS
Three types of the T-TESTS
F-TEST only
Z-TEST only
What kinds of T-TESTS can been calculated with MS Excel Data Analysis Toolpack?
“t-Test Paired Two-Sample for Means”
“t-Test Two-Sample With Equal Variances”
“t-Test Two-Sample With Unequal Variances”
“t-Test Paired Two-Sample for Means” and “t-Test Two-Sample With Equal Variances”
“t-Test Paired Two-Sample for Means” and “t-Test Two-Sample With Equal Variances” and “t-Test
Two-Sample With Unequal Variances”
As a result of using any T-TESTS procedures from MS Excel Data Analysis Toolpack user see table
with:
Calculated values of one- and two-tailed t-tests and degrees of freedom.
Calculated values of means, variances for the both input datasets, degrees of freedom, t-statistic and
both the one-tailed and two-tailed probabilities and critical values
Calculated values of means, variances for the both input datasets and degrees of freedom.
Calculated values of degrees of freedom, t-statistic and both the one-tailed and two-tailed
probabilities and critical values.
Calculated values of t-statistic and both the one-tailed and two-tailed probabilities and critical values
During Statistical Hypothesis Tests researcher must perform set of required steeps. It is listed below
randomly. Put it all in the right order:
1. Chek sample distribution type (normal or not)
2. Statistical Hypothesis phrasing (formulating)
3. Calculate Hypothesis Tests criteria value
4. Bring the narrow practical problem to predefined set of typical practical task
5. Chek additional conditions for input samples.
1, 2, 3, 4, 5.
4, 2, 1, 5, 3.
3, 2, 5, 4, 1.
4, 3, 2, 5, 1.
5, 3, 2, 4, 1.
If our SAMPLE statistical parameter value is close to the POPULATION statistical parameter value
value, we conclude that
nothing happened in the study; there is no effect.
something happened in the study; there is a significant effect.
something happened in the study, but the effect is very small.
we can neither accept or reject the null hypothesis.
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we can accept the null hypothesis.
Many people describe hypothesis testing as COUNTERINTUITIVE because
we test whether nothing happened in order to conclude that something happened.
we can only conclude that nothing happened when we are 100% sure that something did not happen.
we test whether something happened in order to conclude that nothing happened.
we test whether something happened but can still conclude that nothing happened.
we can only conclude that nothing happened when we are 99% sure that something did not happen.
A Type I error occurs when we
incorrectly reject a true null hypothesis.
incorrectly reject a false null hypothesis.
correctly reject a false null hypothesis.
correctly fail to reject a false null hypothesis.
Right answer not listed there
A Type II error occurs when
we incorrectly fail to reject a false null hypothesis.
we correctly fail to reject a false null hypothesis.
we correctly reject a false null hypothesis.
we incorrectly reject a true null hypothesis.
Right answer not listed there
Which of the following is NOT one of the steps for hypothesis testing?
Choosing a cutoff value from your population to determine how close your sample is to the
population value.
Drawing a conclusion based on the results of your test.
Calculating the test statistic with the summary sample statistics.
Deciding whether to reject or fail to reject the null hypothesis.
Cheking-off the distribution type
Which of the following is the FIRST STEP in hypothesis testing?
Bringing the real-word task to one of the general practice viewpoint task classes.
Developing a null and alternative hypothesis.
Setting the cutoff value for rejecting the null hypothesis.
Drawing a sample from the population.
It does not matter where you begin when you test hypotheses.
STATISTICAL POWER is the probability of
rejecting the null hypothesis when it is false.
rejecting the null hypothesis when it is true.
making a Type I error.
making a Type II error.
rejecting the alternative hypothesis when it is false.
If "going to the doctor" is used as an analogy, then STATISTICAL POWER is
your doctor confirming that you are really sick.
your doctor stating you are not sick when there is nothing wrong.
your doctor missing a real illness.
your doctor is absent.
getting scared for nothing.
What the sample statistical parameter is analysed in the formula for the T-test statistic:
The null hypothesis
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The mean of all numbers
The difference between sample means
The significance level
The difference between sample variances
What the sample statistical parameter is analysed in the formula for the F-ratio statistic:
The null hypothesis
The mean of all numbers
The difference between sample means
The significance level
The difference between sample variances
In the formula for computing the T-test statistic the "hypothesized value" is:
What you expect the T to be
The mean of all numbers
The difference between sample means
The significance level
The difference between sample variances
In the formula for computing the F-ratio statistic the "hypothesized value" is:
What you expect the F to be
The mode of all numbers in sample
The difference between sample means
The significance level
The difference between sample variances
In the regression analysis R squared measures
the correlation between X and Y
the amount of variation in Y
the covariance between X and Y
the residual sum of squares as a proportion of the Total Sum of Squares
the explained sum of squares as a proportion of the Total Sum of Squares
What purpose of the REGRESSION ANALYSIS?
Generating of the mathematical model that describe experimental sample data.
Performing of the Statistical Hypothesis Tests.
It is used to determine whether the means in two independent samples are equal
It is used to determine the significance level
Curve fitting of the experimental sample data.
What purpose of the CURVE FITTING?
It is trying to find the mathematical-based curve that best represents the sample data plotted in the
chart.
Performing of the Statistical Hypothesis Tests.
It is used to determine whether the means in two independent samples are equal
It is used to determine the significance level
Right answer not present.
How understand calculated R squared value in the regression analysis?
The closer the R-squared value is to 1, the better the equation fits the underlying (experimental) data.
The closer the R-squared value is to 0, the better the equation fits the underlying (experimental) data
The closer the R-squared value is to 0, the better the equation fits the data that calculated with
produced model.
It is the correlation between X and Y.
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It is the covariance between X and Y.
In some studies, regression is used to "predict"; in other studies, regression is used to "_____."
Adjust
Explain
Hypothesize
Prove
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How user can calculate the MOVING AVERAGES for data sample with MS Excel?
Using the Moving Average trendline charting feature, the Analysis ToolPak Moving Average feature,
or spreadsheet functions.
Using the Moving Average trendline charting feature or the Analysis ToolPak Moving Average
feature.the Moving Average trendline charting feature only.
Using
Using the Analysis ToolPak Moving Average feature or spreadsheet functions.
Using the Analysis ToolPak Moving Average feature only.
Why we need perform SMOOTHING the as a part of the data series processing?
It can be used to remove unwanted noise in a data series.
It can be used to add unwanted noise in a data series.
It can be used to analog-to-digital data conversion.
It can be used to digital-to-analog data conversion.
It can be used to Detrending a data series.
What means CENTERING DATA in the Regressional Analysis?
It is the process of removing a bias or offset in a series of data so that the resulting series values
fluctuate approximately about 0.
It is the process of normalization a bias or offset in a series of data so that the resulting series values
fluctuate approximately about 1.
It is the process of removing a bias or offset in a series of data so that the resulting series values
fluctuate approximately about 100.
It is the process of adding a bias or offset to the data series.
It can be used to add unwanted noise in a data series.
What COMPONENTS can be founded in the TIME SERIES DATA in one time?
a long-term trend, seasonal variation, and irregular variations.
a long-term trend and irregular variations.
a seasonal variation, and irregular variations.
a long-term trend and seasonal variation
a long-term trend, seasonal variation, and original variations.
What purpose of the DETRENDING process during the REGRESSION ANALYSIS?
It can be used to remove the long-term trend from the data series.
It can be used to performing of the Statistical Hypothesis Tests.
It is the process of removing a bias or offset in a series of data.
It can be used to remove unwanted noise in a data series.
It can be used to determine whether the means in two independent samples are equal.
What maximum power avaliable in the MS Excel POWER tredlines?
No more than 4 power;
No more than 5 power;
No more than 6 power;
No more than 7 power;
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No more than 8 power;
Hypothesis testing. In a scatter diagram, the
dependent variable is scaled along the horizontal axis.
independent variable is scaled along the vertical axis.
graph shows the relationship between two variables.
probabilities are plotted.
correlation coefficient values are plotted.
In correlation analysis, we do the following:
consider several independent variables.
study the strength of the association between two variables.
compare variances.
compare means.
make a drugs sales volume forecasting
The sample coefficient of correlation
Has the same sign as the slope of the regression equation.
Can range from -1.00 up to 10.00
Is also called Student's t.
Has n degrees of freedom.
Is also called Fisher's F
In a multiple regression equation there are
Two or more dependent variable.
Two or more independent variables.
Two or more intercept values.
Multiple coefficients of determination
Right answer not present
Statical analysis. A correlation matrix shows the following:
All simple coefficients of correlation between variables.
All possible net regression coefficients.
Correlations that are positive.
The multiple regression equation.
Right answer not present
The following statement is TRUE for a multiple regression equation:
There is only one dependent variable.
The R-squared value must be at least .50.
All the regression coefficient must be between -1.00 and 1.00.
There is only one (Y — ΣY) value.
True answer not present
An F-statistic is used to
Test if the means equals 0
Test the equality of two population variances.
Test if a z-statistic is greater than 0.
Convert a z statistic to a t statistic.
Test the equality of two population means.
Which of the following is a characteristic of the F distribution?
It is a discrete distribution.
It cannot be positive.
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It is based on the ratio of variances from two populations.
It is the ratio of two population means.
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Under which of the following conditions will the computed value of F be negative?
When there is no difference in the treatment means
When there is no difference in the block means
When the SS total is larger than SST.
F cannot be negative.
Right answer not shown
The null hypothesis always states
A hypothesized value for a population parameter.
That a population parameter is equal to a hypothesized value.
That a population parameter is less than or equal to a hypothesized value.
That a population parameter is greater than or equal to a hypothesized value.
that means in the compared samples are equals.
Which of the following statements is TRUE about the alternate hypothesis?
It Is accepted if the null hypothesis is rejected.
It will always contain the equal sign.
It is rejected if the null hypothesis is true.
It is accepted if the null hypothesis is accepted.
There ere not a true statements
Which of the following statements is TRUE about the level of significance?
It is a probability.
It can be any value between 0 and 1.
It is the likelihood of rejecting the null hypothesis when it is true.
All listed answers are correct
significantly when value is less then 0.05.
Hypothesis testing. A Type I error is
Calculated from sample information.
A probability determined from the test statistic.
The probability of rejecting the null hypothesis when it is true.
The probability of accepting the null hypothesis when it is false.
The probability of rejecting the alternate hypothesis when it is true.
The any test statistic CRITICAL value is:
Calculated from sample information.
Is always positive.
The point that divides the acceptance region from the rejection region.
A probability determined from the test statistic.
The probability of rejecting the null hypothesis when it is true.
In a one-tailed statistical hypothesis testing, the
Rejection region is in only one of the tails of a distribution.
Rejection region is split between the tails of a distribution.
P-value is always less than the significance level.
P-value is always more than the significance level.
p-value must be equal 0.05.
In the statistical hypothesis testing a p-value is the
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Same as the population proportion.
Same as the significance level.
Fraction of the population that has a particular characteristic.
Probability of finding a value of the test statistic this extreme when the null hypothesis is true.
Must be equal 0.05.
Hypothesis testing. A Type II error occurs when we
Accept the null hypothesis when it is false.
Reject the alternate hypothesis when it is true.
Reject the null hypothesis when it is false.
Accept the null hypothesis when it is true.
Accept the alternate hypothesis when it is true.
In a two-sample test of means for independent samples, the equal sign always appears in the
Null hypothesis.
Alternate hypothesis.
Upper tail of the test statistic.
Lower tail of the test statistic.
Student's t-test calculations result
Another way to state the null hypothesis: H0: μ1 = μ2, is
H0: μ1 ≤ μ2
H0: μ1 - μ2 = 0
H0: μ1 ≥ μ2
H0: μ1 - μ2 ≠ 0
H0: μ1 < μ2
To test a drug expected to reduce blood pressure by 5mm Hg you need 130 people for a
well-designed randomised controlled trial. Suppose you are working on a new drug that should
reduce the blood pressure by double the amount, 10mm Hg. Do you need to test it on:
more people?
fewer people?
the same number of people?
the exact same people?
two times more people?