The data provided in the table are the temperatures reported by sensors in a
desktop computer. These temperatures must be within certain ranges for the
computer to operate properly and not fail prematurely.
_________ What level of measurement is the data?
__________ Calculate the sample size n for the data.
__________ Determine the minimum.
__________ Determine the maximum.
__________ Calculate the range.
__________ Calculate the midrange.
__________ Determine the mode.
__________ Determine the median.
__________ Calculate the sample mean x.
20.5149 Freebie: This is the standard deviation sx to four decimal places.
If you obtain a different value, then you typed in the wrong data!
Calculate the standard deviation sx and check for agreement.
__________ Calculate the sample coefficient of variation CV.
__________ If this data were to be divided into six classes, what would be the width of a single class?
Determine the frequency and calculate the relative frequency using six classes.
Record your results in the table provided.
Temp CUL (cm)
Frequency (f)
Relative Frequency
Sum:
Sketch a frequency histogram chart of the data anywhere it fits,
labeling your horizontal axis and vertical axis as appropriate.
____________________ What is the shape of the distribution?
__________ Use the sample mean x and standard deviation sx
calculated above to determine the z-score for 88 °C.
____________________ Is the z-score for 88 °C an ordinary or unusual z-score?
p(T < 33 °C) = __________
What is the probability that a system temperature T will be below 33°C?
y = 1.09306x + 24.703
The table provides running time versus temperature data for a computer.
_________ Calculate the sample size n.
_________ Calculate the slope of the linear regression.
_________ Calculate the y-intercept of the linear regression.
_________ Is the relation between Run Time (hrs) and Temp (°C) positive, negative, or neutral?
_________ Calculate the correlation coefficient r for the data.
______________ Is the correlation none, weak/low, moderate, strong/high, or perfect?
______________ Determine the coefficient of determination.
______________ What percent in the variation in
Run Time (hrs)
"explains" the variation in
Temp (°C)?
_________ Use the slope and intercept to predict the CPU
Temp (°C)
for a Run Time (hrs) equal to 7 hrs.
_________ Use the slope and intercept to determine
the Run Time (hrs) at which the Temp (°C) is predicted to be 30 °C.
14sample size n 5
15slope 1.09
16intercept 24.7
17nature positive
18correlation 0.9
19strength strong
20coef det 0.810
21perc variation81.00%
227 hrs.32.35 Temp (°C)
2330 °C.4.85 Run Time (hrs)
ttest: 3.5759
p-value: 0.0373946
max c 0.9626054