A. DATA FOR: Pupal Mass Sample Mass (g) Development Time (Days) 1 0.688 65 Frequency Distribution of Development Time 0.688 66 Frequency Distribution of Pupal Mass (g) 20 0.658 64 4 0.60 66 10 0.612 60 15 0.625 59 0.685 59 10 0.682 59 10 11 0.680 50 12 10 0.680 62 13 11 0.602 70 14 12 0.828 71 15 13 0.805 70 16 14 0.888 72 55.00 59.00 63.00 67.00 71.00 75.00 17 15 0.805 64 0.60 0.66 0.72 0.78 0.84 0.90 Development Time (Days) 18 15 0.822 64 19 16 0.601 64 Pupal Mass (g) 20 18 0.766 64 21 19 0.772 65 22 0.755 65 Development Time (Days) vs. Mass (g) 20 23 21 0.758 65 80 24 22 0.743 65 25 23 0.708 65 .... 26 24 0.773 65 27 25 0.773 65 28 25 0.771 65 40 29 26 0.69 66 30 28 0.805 66 20 31 29 0.885 66 32 30 0.801 66 33 0.65 0.7 0.75 0.8 0.85 34 Па mean =AVERAGE(range) Mass (g) 35 konba 26 24 0.773 65 27 25 0.773 65 28 25 0.771 65 29 26 0.60 66 30 28 0.805 66 31 29 0.885 66 30 0.801 66 33 34 п3 mean =AVERAGE(range) median =MEDIAN(range) mode =MODE(range) standard deviation =STDEV(range) variance =VAR(range) coefficient of variation (SD/mean) 35 36 37 39 40 covariance =COVAR(range 1, range 2) correlation coefficient =CORREL(range 1, range 2) 41 43
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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13. Using the appropriate formula, calculate the
14) Using the appropriate formula, calculate the standard deviation for development time to 3 decimals. s = days
15) Using the appropriate formula, calculate the variance for development time to 3 decimals. s2 =
16) Using the appropriate formula, calculate the coefficient of variation for development time to 3 decimals. CV =
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