Temp (°C) |
---|

26 |

30 |

46 |

45 |

88 |

48 |

41 |

22 |

22 |

- _________ 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?
- _________ 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.

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.

y = 1.09306x + 24.703

The table provides running time versus temperature data for a computer.

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