Q1 Given the following simple regression model Y = ao + a1X1 + a2X2, the dependent varaible in the model is
Q2 Given the following simple regression model Y = ao + a1X1, the independent varaible in the model is
Q3 Application of Simple Linear regression analysis is the way by
which we subject different data to statistical analysis by using
computer software such strata, e-view to analyse and predict the
relationship between the dependent variable and
Q4 In the case of more than one explanatory variable is called regression.
Q5 In the case of one explanatory variable is called linear regression.
Q6 In statistics,
is an approach for modelling the relationship between s scalar
dependent variable y and one or more explanatory variables denoted x
Q7 Regression analysis is also used in casual relationship between a
linear model that is between the dependent variable to an
Q8 Regression analysis is widely used for and forecasting
Q9 Regression analysis is a statistical process for estimating the relationship among
Q10 The term regression was introduced by
Q11 is a test that allows us to compare a collection of categorical data with the theoretical distribution
Q12
_is an approach use in ANOVA (that is a region analysis involving two
qualitative factors) to detect whether the factor variables are
additively related to the expected value of the response variables
Q13 is a statistical test that is used on paired nominal data
Q14 are collections of test statistics that is used for the analysis of stratified categorical data
Q15 is used when testing for independence in a contingency table.
Q16
is a statistical test that is applied to categorical data to
investigate how likely it is that any observed difference between the
sets arose by chance and it is good for unpaired data that can be seen
from large samples.
Q17 A can said to be a measurement of how expectations are compared to results.
Q18 An
can be defined as any statistical test in which the test statistics
has an F distribution under a null hypothesis situation and it is
usually used when comparing statistical models in a data set so that we
can identify the mode that best fits the population where the date were
sampled
Q19 The T statistic was introduced in by William Sealy Gosset, a chemist working for the Guinness Brewery in Dublin, Ireland
Q20 A t-test is any statistical test in which the test statistic follows a student’s t if the null hypothesis is supported.
Q21 A is the set of all possible values of a particular statistic
Q22 If the parameters are over estimated, the sampling errors are
Q23 If the parameters are under estimated, the sampling errors are
Q24 sampling error (E) is defined as the difference between the sample statistic (s) and the being estimated
Q25 the first important attribute of a sample is that every individual
in the population from which it is drawn must have a known chance of being included in it
Q26 ia a population commonly contains too many individuals to study conveniently
Q27 sampling where each member cannot be chosen more than once is called sampling
Q28 Sampling where each member of the population may be chosen more than once is called sampling
Q29
theory deals with the study of the relationships that exist between a
given population and the samples drawn from the population.
Q30 Confidence interval is used to determine all reasonably likely values of the difference between two
Q31 Matching is carried out by identifying pairs of values consisting of one observation from each of the two
Q32 In an experimental research, the scientist may have two groups, an experimental group and a
Q33 limit are the end points of the confidence interval.
Q34 enables us to have an estimate of how sample mean deviates from the population mean.
Q35 Interval estimation involves estimating an interval which is known as
Q36 Another technique that can be employed with respect to the issue of rejecting or accepting Ho is
Q37 The standard deviation of the sampling distribution is known as the
Q38 In this situation, the population for which inferences is to be made is assumed to be normally distributed with
Q39 If the 0.05 level of significance is to be used in a two tailed
test, the 0.05 level is shared between the two ends of the tails giving
0.025 or
Q40 The curve is one of the most popular models used in statistical tests of hypothesis
Q41 The two tailed test gets its name from testing the area under both of the tails (sides) of a
Q42 The one tailed test gets its name from testing the area under one of the tails (sides) of a
Q43
is a statistical test in which the critical area of a distribution is
two sided and tests whether a sample is either greater than or less than
a certain range of values.
Q44
is a statistical test in which the critical area of a distribution is
one-sided so that it is either greater than or less than a certain
value, but not both.
Q45 In test of hypothesis, the maximum probability of risking a type 1 error is known as the
Q46 The probability (or risk) or committing type 2 error is denoted by the Greek letter
Q47 The probability (or risk) or committing type 1 error on a true null hypothesis is denoted by the Greek letter
Q48 Type 2 error is a situation when one accepts the hypothesis when it should be
Q49
occurs when/if an hypothesis (Null hypothesis) is rejected when it
should be accepted and this occurs when the hypothesis value falls
within acceptance region.
Q50 F Test was
coined by George, W. Snedeaor but he used it to honour Sir Ronald A.
Fisher and Fisher initially developed the statistics as the variance
ratio in
Q51 If the aim of an hypothesis is to conclude that one item is better or less than the other then we have
Q52 If an hypothesis talk about no difference then we have
Q53 Hypothesis may be directional or
Q54 Alternative hypothesis are usually denoted with the symbol
Q55 Any assumptions made with the sole purpose of rendering the statistical hypothesis significant is called a
Q56 Null hypothesis are usually denoted with the symbol
Q57 Any assumptions made with the sole purpose of rendering the statistical hypothesis insignificant is called a
Q58 An hypotheses is formulated with the basic idea of nulifying the hypotheses and rendering the hypothese
Q59 In hypotheses testing some errors are committed in the quest for taking a good
Q60 Hypotheses are formulated and different types of statistical tests are carried out in order to make a reasonable
Q61 The density function is symmetrical about x equal to zero, so that its median is
Q62 One of the uses of statistics is to make a decisive
Q63
is the value of a statistic obtain vary from one sample to another
even when equal samples are selected from the same population using the
same procedure
Q64 is the values of a population parameter and that of the corresponding statistic that are not always the same
Q65 A
is considered to be known when we know the probability distribution
f(x) (probability function or density function) of the associated random
variable x
Q66 A graph for frequency distribution can be supplied by a histogram or by a polygon graph often called a
Q67 The distribution like the binomial and poisson distribution is a probability that makes use of variables
Q68 Probabilities associated with individual values of x cannot be or greater than 1 since this has no meaning
Q69 A continuous random varaible is the one which can take a continuous range of
Q70 If the distribution of x is continuous, then x is called a random variable
Q71 Lebesgue measure is the standard way os assigning a measure to a of an n-dimensional volume
Q72 A continuous probability distribution is a probability distribution that has a probability function
Q73 The discrete uniform distribution is commonly used in programs that make equal probability random selections between a number of choices
Q74 A discrete probability distribution is a probability characterized by a probability
Q75 Probability distribution assigns a probability to each measurable subset of the possible
Q76 The standard deviation is to the mean as the ____________ is to the regression line.
Q77 The regression equation for predicting number of
speeding tickets (Y) from information about driver age (X) is Y =
-.065(X) + 5.57. How many tickets would you predict for a
twenty-year-old?
Q78 A regression analysis is inappropriate when
Q79 The _____ distribution has been applied to model
the behaviour of random varaibles limited to intervals of finite length
in a wide variety of disciples
Q80 When a die is thrown once, the probability of getting one is _____
Q81 ______ measure is the standard way of assigning a measure to a subsets of an n-dimensional volume
Q82 In test of hypothesis, the maximum probability of risking a ______ is known as the level of significance
Q83 Given a population consisting of numbers 1,2,3,4,5,6. The mean of the population is
Q84 Uniform distribution can also be seen as a statistical distribution in which every possible outcome has ______
Q85 The ____ distribution is a family of continuous
probability distributions defined on the interval of 0 and 1
parameterized by two positive shape parameters.
Q86 The mean mark of students in statistics test is
68 with standard deviation of 30. If samples consisting of 64 students
each are obtained from the students population of 6,000. Calculate the
standard deviation of the sampling distribution of mean if sampling is
done with replacement
Q87 The _____ distribution is a two parameter family of continuous peobability distributions.
Q88 A _____ is considered to be known when we know the probability distribution
Q89 The null hypothesis in the chi-square test states that
Q90 The term regression was introduced by ______
Q91 Three out of the 9 finalists in an African
American beauty competition are Nigerians. If two winner are to be
selected, find the probability that only one of them would be a Nigeria.
Q92 A doctor claims that the mean weight of babies
delivered at her hospital is 4.2kg. A Statistician takes a sample of 10
babies and obtains the following weights: 1.2, 2.8, 2.2, 3.1, 3.2, 3.7,
2.7, 4.0, 4.4, 4.1. Test the doctor's claim at 95% level of
significance.
Q93 _______ is the distribution that make use of discrete varaibles and combinatorial analysis
Q94 In quality control, one might demand that the
probability of a 800g package containing between 790g and 810g should be
not less than _______
Q95 Chi-square goodness of fit test is applied when you have one categorical varaible from a ____ population.
Q96 Generating a data is important in _______ analysis
Q97 Given Y = a + Bx1 + Cx2. The equation above is an example of ______
Q98 _____ test ia a collection of test statistics that is used for the analysis of stratified categorical data
Q99 _____ test is a statistical test that is applied
to categorical data to investigate how likely it is that any observed
difference betweeen the sets arose by chance.
Q100 A _____ can said to be a measurement of how expectations are compared to results.
Q101 A Company short lists 12 applicants for an
interview out of which 4 are men. If there are only five vacant posts to
be filled, find the probability that the list of successful applicant
contains all women
Q102 Simple Regression analysis is also called ______ Regression equation
Q103 A ______ Probability distribution is a probability distribution that has a probability density function
Q104 Three out of the 9 finalists in an African
American beauty competition are Nigerians. If two winner are to be
selected, find the probability that; at least one of them would be a
Nigerian.
Q105 ______ error occurs when/if an hypothesis is accepted when it should be rejected.
Q106 One of the uses of statistics is to make a ______
Q107 ______ is a tentative statement in a statistical analysis
Q108 Alternative hypothesis is denoted as ______
Q109 The Cauchy distribution is often used in
statistics as the canonical example of pathological distribution since
both its mean and its variance are ______
Q110 Calcualte the mean of a uniform disribution given that (a+b) = 7/128 and b= 6.40 while a= 2.10
Q111 If 150 tosses are made of a fair coin, find the probability that between 38% and 78% will be heads
Q112 _____ statistical test in which the critical area of a distribution is one-sided
Q113 The values of a parameter and that of the corresponding satatistics are not always the same _____
Q114 The calculation of sampling distribution is a
step forward to look at different ways of obtaining distribution of
proportion process of _____ data
Q115 In a statistics examination for secondary
students, the 12 females used in the study has a mean score of 71 and a
variance of 22 while the 10 males used has a mean score of 77 and a
variance of 8. Calcualte the confidence intervals at 99% level of
significance.
Q116 Regression analysis is widely used for ______ and ______
Q117 Given Z = Bo + B1X1 + B2X2. From the equation above, the explanatory variables are _______
Q118 _____ is a statistics process for estimating the relationship among varaibles.
Q119 _____ test is a statistical test that is used on paired nominal data
Q120 The t statistic was introduced by Willian Sealey Gosset a ______ working for Guinness Brewery in Dublin Finland
Q121 ______ test is used when testing for independence in a contingency table
Q122 The t statistics was introduced in ________ year
Q123 ______ is a type of probability distribution in which all outcomes are equally alike
Q124 Given a constant b such that the function f(n) =
bn square is 0,1,2. Find the probability of x is greater than 1 and
less than 2
Q125 Hi in hypothesis testing is _______
Q126 When a random varaible takes values from a continuous probabilities that are non zero, this can only refer to _____
Q127 A graph for frequency distribution can be supplied by a _____
Q128 Ho in hypothesis testing is ________
Q129 _____ is used to determine all reasonably likely values of the difference between two population means
Q130 In a statistics examination for secondary
students, the 23 females used in the study has a mean score of 81 and a
variance of 12 while the 20 males used has a mean score of 78 and a
variance of 10. Do you think gender have an effect on the score of there
secondary student at 99% level significance?
Q131 A _____ is any statistical test in which the
test statistic follows a students's t distribution if the null
hypothesis is supported.
Q132 In statistical analysis the 99% confident level is also known as _____
Q133 The two types of hypothesis are ______ and _____ hypothesis
Q134 Calculate the varaince of uniform distribution given that (a + b) = 6/200 and b = 2.20 while a = 1.10
Q135 A coin also has a uniform distribution because the _____ in a coin toss is the same
Q136 The numerical value of the decision rule is called _____
Q137 _____ error occurs when/if an hypothesis is rejected when it should be accepted
Q138 Null hypothesis is denoted as ______
Q139 The Cauchy distribution is named after _____
Q140 A deck of cards has a uniform distribution
because the likelihood of drawing a heart, a club, a diamond or spade is
equally _____
Q141 ______ is a random varaibles that we assigns a probability to each possible value
Q142 If an individual were selected at random from a
large group of adult females, the probability that it has height M is
precisely 68 inches (that is 68.00 inches) would be zero. What is the
probability that M is between 67.00 inches and 68.00 inches.
Q143 A type of photocopier has a paper Jam on average
once every 3000 copies. What is the probability that there will be more
than two jams in a 3000 copy run?
Q144 A Company short lists 12 applicant for an
interview out of which 4 are men. If there are only five vacant posts to
be filled, find the probability that the list of successful applicant
contains at least 2 men.
Q145 When an equation is in a general term in a multinomial expansion it is called ____
Q146 In Probability and Statistics, a probability
distribution assigns a probability to each measurable sunset of the
possible outsomes of a ______
Q147 An F test is a statistical test in which the test statistics has ____ distribution under a null hypothesis situation
Q148 Vivian Odishika company prints baseball cards.
The company claims that 40% of the cards are rookies, 70% veterans and
10% are all stars. Suppose a random sample of 100 cards has 50 rookies,
48 veterans and 8 all stars. Using 95% level of significance, Calculate
the claim of the compnay
Q149 One explanatory varaible is called a ______
Q150 The t test was ____ and ____ of two samples to make comparism