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Unformatted text preview: Determine whether the statement is true or false. If is false, rewrite it as a true statement.
Determine whether the statement is true or false. Ifis false, rewrite it as a true statement. A parameter is a numerical description ofa sample characteristic. A population is the collection of some outcomes, responses, measurements, or counts that are of
interest. 53 8 False
m b T Choose the correct statement regarding the original statement. 0 a The statement is false. It should be rewritten: "A sample is the collection ofall outcomes, . . _ _ _ _ responses, measurements, or responses that are of interest."
Choose the correct rewriting of the original statement so that it is true. 3. b The statement is false. It should be rewritten: "A population is the collection of all a A parameter 15 a numerical description of a popmamn Characteristic outcomes, responses, measurements, or counts that are ofinterest." '3 b. A parameter is a nonnumerical description of a population characteristic. 0 c. The statement is true. It does not need to be rewritten. A population is the collection ofall outcomes, responses, measurements, or
counts that are of interest. A sample is a subset ofa population. Determine whether the data set is a population or a sample. Explain your reasoning. The BMI (body mass index) of 35 overweight patients in a study of 150 patients Choose the statement with the correct reasoning. O a. Population, there are 150 patients in the study.
0 ll Population, the collection of 35 patients is a subset within the population. (i) c. Sample, the collection of 35 patients is a subset within the population. Remember, a population is the collection ofall outcomes, measurements, or
0 [1 Sample, the 150 overweight patients in the study is a subset ofall overweight people. counts that are of mtg—ESL A 531111313 is a suhsat of a population Use the Venn diagram to identify the population and the sample. Annual incomes offamilies in
Iowa who eat fast food at least once per week. . nnual
incomes of families in
Iowa who eat at Wendy’s
at least once per
wee_k. Population: Annual incomes of farniies in Iowa who eat at Wendy's at least once per week.
Sample: Annual incomes of farniies in Iowa who eat fast food at least once per week. Population: Annual incomes of famiies in Iowa who eat fast food at least once per week.
Sample: Annual incomes of famiies in Iowa who eat at Wendy's at least once per week. You have reversed the population and the sample. Determine whether the numerical value is a statistic or a parameter. In a recent year, twothirds ofall of the students in the senior class were men. Cho o s e statistic or parameter. {'33. Paramet . . . . . . . . .
H A statistic is a numerical description ofa sample characteristic. A parameter is a C' b. Statistic numerical descrition ofa oulation characteristic.
Determine which ofthe four levels ofmeasurernent is most appropriate. Data at the nominal level of measurement are qualitative only.
Data at the ordinal level of measurement are qualitative or quantitative; data at this level can be arranged in order, but the differences between data entries are
not meaningful. Choose the most appropriate level of measurement. Data at the interval level of measurement are quantitative; the data can be
.3 a Normal ordered, and you can calculate meaningful differences between data entries;
also,there is no natural starting point.
Ram Data at the ratio level of measurement are similar to data at the interval level,
mm with the added property that a zero entry is an inherent zero; a ratio of two data values can be formed so one data value can be expressed as a multiple of
Ordinal another. The skate sizes for a junior hockey team
size 2, size 4, size 6 Idmtify the level of msurement of Do College Student! Plan on Going Home
the data listed on the horiztonal axis 501' waiving?
in the graph. " Unsure— Rwl'lll'lh't: Choose the correct level ofmeasurernent. Identify the sampling technique. Ten schools are chosen randomly from the state_ In a random sample, each member of the population has an equal chance of
being selected. A systematic sample is one in which each member of the population is assigned
a number, a starting number is randomly selected, and then sample members 0 3' commence sample are selected at regular intervals. Convenience sampling involves choosing the easy way to ﬁnd elements. In stratiﬁed sampling, the population is divided into subgroups, and a sample is
Cluster 531111313 randomly chosen from each group. In cluster sampling, the population is divided into groups called clusters; one or
more clusters are then randomly chosen, and every element from those clusters
Stratiﬁed sample is selected. Choose the sampling technique. Random sample Systematic sample Identify the sampling technique. All twentyeight homeowners in a randomly selected subdivision were asked if they A simple random sample is one in which every possible sample of the same size
“53d recycmg mmamers has an equal chance of being selected. A stratiﬁed sample is one in which a population is divided into subgroups, and a
ChUUSBthB correct samplingtechmque sample is randomly selected from each subgroup.
O a. Convenience sample A cluster sample is one in which all of the members of'a randomly selected
group is selected.
A systematic sample is a sample in which each member is the population is
assigned a number, the numbers are ordered, and a starting point determined;
. Stratiﬁed sample then samle members are selected at re ' Identify the sampling technique used. b. Cluster sample  Simple random sample EVE” Other Bummer is given a BMW In a random sample, each element has an equal chance of being selected.
In a systematic sample, each member of a population is assigned a numb er, a Change the comm samplng techmqug starting point is randomly selected, and sample members are selected at regular
intervals. D a Random sam le
p In stratiﬁed sampling, the population is divided into subgroups and a sample is Systematic sample chosen from each subgroup. In cluster sampling, the population is divided into groups called clusters; one or
more clusters are randomly selected; and then every element from each cluster
Cluster sample is selected. Stratiﬁed sample ...
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This note was uploaded on 04/01/2012 for the course MGQ 301 taught by Professor Orrange during the Fall '09 term at SUNY Buffalo.
 Fall '09
 Orrange

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