Part of an experiment is collecting ( recording data).
The answer would be: 4. recording the high and low temperature at a particular location every day.
Recording the temperatures allows you to determine the average temperature of that location.
Answer:
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Step-by-step explanation:
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Answer:
The most correct option for the recursive expression of the geometric sequence is;
4. t₁ = 7 and tₙ = 2·tₙ₋₁, for n > 2
Step-by-step explanation:
The general form for the nth term of a geometric sequence, aₙ is given as follows;
aₙ = a₁·r⁽ⁿ⁻¹⁾
Where;
a₁ = The first term
r = The common ratio
n = The number of terms
The given geometric sequence is 7, 14, 28, 56, 112
The common ratio, r = 14/7 = 25/14 = 56/58 = 112/56 = 2
r = 2
Let, 't₁', represent the first term of the geometric sequence
Therefore, the nth term of the geometric sequence is presented as follows;
tₙ = t₁·r⁽ⁿ⁻¹⁾ = t₁·2⁽ⁿ⁻¹⁾
tₙ = t₁·2⁽ⁿ⁻¹⁾ = 2·t₁2⁽ⁿ⁻²⁾ = 2·tₙ₋₁
∴ tₙ = 2·tₙ₋₁, for n ≥ 2
Therefore, we have;
t₁ = 7 and tₙ = 2·tₙ₋₁, for n ≥ 2.
Answer:
All of these could do this.
Step-by-step explanation:
Normal distribution is a form of probability distribution that is symmetric about the mean, to depict data near the mean are more frequent in occurrence than data far from the mean. Normality of data can be measured by either power or the Shapiro-Wilk test.
Some ways of testing the normal distribution of data are by:
i. Histogram, which is a data visualization that shows the distribution of plotted sample data. The frequency of occurrence per value in the data set determines its distribution.
ii. Interpretation of the shape.
iii. Probability plot of the data, e.g Box Plot, QQ Plot etc. If the dots fall exactly on the black line, then a given sample of data are normal. If not, otherwise.
iv. Calculating interquartile range (IQR), which is a measure of variability. Sample of data are normally distributed when the interquartile range (IQR) is 1.34896.
Therefore, all the given methods could be used to determine if the data is normally distributed.
