StudentShare
Contact Us
Sign In / Sign Up for FREE
Search
Go to advanced search...
Free

Effect of Salinity on Cell Diameter - Report Example

Cite this document
Summary
This paper "Effect of Salinity on Cell Diameter" gives the result of the investigation of the effect of salinity on cell diameter when two cultures are used. One of the cultures was grown at a salinity of 1 while the other was grown at a salinity of 30. The diameter of 25 cells in the culture was measured…
Download full paper File format: .doc, available for editing
GRAB THE BEST PAPER91.3% of users find it useful

Extract of sample "Effect of Salinity on Cell Diameter"

Effect of salinity on cell diameter. This section gives the result of the investigation of the effect of salinity on cell diameter when two cultures are used. One of the cultures was grown at a salinity of 1 while the other was grown at a salinity of 30. The diameter of 25 cells in the culture were measured. The hypothesis of the test were HO There is no difference in the cell diameters at the two levels of salinity H1 There is a difference in the cell diameters at the two levels of salinity Test of normality and Homogeneity of Variance To find out whether a parametric test could be performed using the data normality test and homogeneity of variance were performed with the results being as in table 1 and table 2. From table 5 Shapiro –Wilk section, it can be seen that the data had a p value of more than 0.05 in both salinity 1 and salinity 30. From table 2 it can also be seen that based on mean the homogeneity test indicate that a t-test can be used as the p-value is more that 0.05. The mean cell diameter for salinity 1 was 13.5 and salinity 30 was 12.4 as can be seen in figure 1. Figure 1. Mean diameters for the two salinity levels. TABLE 1 Tests of Normality level of salinity Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. two level salinity sal1 .101 25 .200* .963 25 .475 sal30 .129 25 .200* .960 25 .405 a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Table 2 Test of Homogeneity of Variance Levene Statistic df1 df2 Sig. two level salinity Based on Mean 2.656 1 48 .110 Based on Median 2.632 1 48 .111 Based on Median and with adjusted df 2.632 1 41.672 .112 Based on trimmed mean 2.659 1 48 .110 T-test A t-test was performed in order to find out more about the difference in diameters at the two salinity levels with the results being as seen in table 3. From the table it can be seen that there was a significant difference in the diameters at the two levels of salinity with a p-value at equal variances was 0.005 with a t value of 3.103. The table also shows that there was a mean difference of 1.0846. From this results we reject the null hypothesis while we accept the alternative hypothesis. Table 3 t-test at two salinity levels Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference Lower Upper salinity Equal variances assumed 4.855 .037 3.103 24 .005 1.0846 .3496 .3631 1.8061 Equal variances not assumed 3.103 17.508 .006 1.0846 .3496 .3487 1.8205 Identifying glass type using This test is used in identifying the glass type to which the two sample of glass belong to. From table 4 the mean values of the different compositions of glass in each glass type has been given. From the table it can be observed that milk bottle has the highest value of Na2O with a value of 16.33 while the least was 5.8325which was recorded in pyrex utensil. The glass type with the highest average value for SiO2 was in pyrex utensil glass type with a value of 90.16 while the least average value of 74.205 was recorded in milk bottle glass type. The other components in each glass type are as illustrated in the table. The canonical function has been used in locating the centroid each group of data. From the canonical descriminant function it can be seen that one of the unknown is much closer to pyrex utensil the other is close to wine bottle. The classification results (Table 5) give the predicted results where there is a confirmation that one of ungrouped cases is a pyrex utensil while the other is wine bottle. To identify the particular case it is important to revisit the data view after running the test. It is clear from the data view that the first extra column which has been generated gives the type of glass type of each ungrouped data. From the column it is found that the first ungrouped case which had a Na2O value of 2.55 was the one that was classified as being a pyrex utensil as it had assigned 2 in the column. The second ungrouped case which had a Na2O value of 10.22 was classified as wine bottle as it was assigned 4 in the column. Figure 2 Table 5 Classification Resultsa Glass_Type Predicted Group Membership Total Milk Bottle Pyrex Utensil Window Pane Wine Bottle Original Count Milk Bottle 4 0 0 0 4 Pyrex Utensil 0 4 0 0 4 Window Pane 0 0 4 0 4 Wine Bottle 0 0 0 4 4 Ungrouped cases 0 1 0 1 2 % Milk Bottle 100.0 .0 .0 .0 100.0 Pyrex Utensil .0 100.0 .0 .0 100.0 Window Pane .0 .0 100.0 .0 100.0 Wine Bottle .0 .0 .0 100.0 100.0 Ungrouped cases .0 50.0 .0 50.0 100.0 a. 100.0% of original grouped cases correctly classified. Forensic Anthropology – Stature and anthropometry This exercise involves investigating the relationship between various variables that were measured. To investigate the relationships a correlation test was done between the various variables. Test of normality and Homogeneity of Variance To find out whether a parametric test could be performed using the data normality test and homogeneity of variance were performed with the results being as in table 6 and table 7. From table 6 Shapiro –Wilk section it is that the data had a p value of more than 0.05 in both male and female for height (standing) and weight. There was also a p-value of more than 0.05 in male height (sitting). In the other variables the p-value was less than 0.05. In the test for homogeneity based on mean p-values of more that 0.05 were recorded in Height (standing), weight and height (elbow) but we had a p-value less than 0.05 in height (sitting) Table 6: Tests of Normality Male/Female Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. Height (Standing) cms Female .098 25 .200* .964 25 .495 Male .099 13 .200* .984 13 .993 Weight (kgs) Female .142 25 .200* .930 25 .087 Male .210 13 .120 .932 13 .366 Height (Elbow) cms Female .296 25 .000 .636 25 .000 Male .213 13 .111 .857 13 .035 Height (Sitting) cms Female .341 25 .000 .685 25 .000 Male .188 13 .200* .925 13 .295 a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Table 7: Test of Homogeneity of Variance Levene Statistic df1 df2 Sig. Height (Standing) cms Based on Mean .770 1 36 .386 Based on Median .663 1 36 .421 Based on Median and with adjusted df .663 1 33.686 .421 Based on trimmed mean .755 1 36 .391 Weight (kgs) Based on Mean 2.809 1 36 .102 Based on Median 2.682 1 36 .110 Based on Median and with adjusted df 2.682 1 28.864 .112 Based on trimmed mean 2.768 1 36 .105 Height (Elbow) cms Based on Mean .262 1 36 .612 Based on Median .257 1 36 .616 Based on Median and with adjusted df .257 1 29.756 .616 Based on trimmed mean .296 1 36 .590 Height (Sitting) cms Based on Mean 23.079 1 36 .000 Based on Median 4.434 1 36 .042 Based on Median and with adjusted df 4.434 1 24.317 .046 Based on trimmed mean 18.278 1 36 .000 Relationship between weight and height One of the investigation which was done on the variables was to establish if there was a correlation between the weight and height of the participants. The hypothesis for this test was HO There is no correlation between height (standing) and weight of the participants H1 There is a positive correlation between height (standing) and weight of the participants The result of the test was as shown in table 8. From the table it can be seen that a significant positive correlation between the two variables where the correlation value is 0.658 at p0.01. This is a clear indication that the null hypothesis is true and thus should be accepted while the alternative hypothesis is false and should be rejected. Relationship between elbow height and height (standing) The correlation test was performed between the elbow height of the participants and the height (standing). The hypothesis for the investigation was HO There is no correlation between elbow height and height (standing) of the participants H1 There is a positive correlation between elbow height and height (standing) of the participants From table 8 it can be observed that a significant positive correlation between the two variables where the correlation value is 0.626 at p Read More
Cite this document
  • APA
  • MLA
  • CHICAGO
(Effect of Salinity on Cell Diameter Report Example | Topics and Well Written Essays - 2250 words, n.d.)
Effect of Salinity on Cell Diameter Report Example | Topics and Well Written Essays - 2250 words. https://studentshare.org/chemistry/2049154-trace-evidence-portfolio-for-forensic-science
(Effect of Salinity on Cell Diameter Report Example | Topics and Well Written Essays - 2250 Words)
Effect of Salinity on Cell Diameter Report Example | Topics and Well Written Essays - 2250 Words. https://studentshare.org/chemistry/2049154-trace-evidence-portfolio-for-forensic-science.
“Effect of Salinity on Cell Diameter Report Example | Topics and Well Written Essays - 2250 Words”. https://studentshare.org/chemistry/2049154-trace-evidence-portfolio-for-forensic-science.
  • Cited: 0 times

CHECK THESE SAMPLES OF Effect of Salinity on Cell Diameter

Measurement of Inflammatory Edema in Skin

The thesaurus of Medical Subject Headings determines the inflammation as "a pathological process characterized by injury or destruction of tissues caused by a variety of cytologic and chemical reactions" (2006).... Since Galen's time this phenomenon attracts the attention of physicians and scientists....
8 Pages (2000 words) Essay

Advanced Nutrition Nutrigenomics/ Nutrigenetics

The Centers for Disease Control and Prevention defines Diabetes (CDC) as a “disease in which blood glucose levels are above normal.... Most of the food we eat is turned into glucose, or sugar, for our bodies to use for energy.... hellip; The pancreas, an organ that lies near the stomach, makes a hormone called insulin to help glucose get into the cells of our bodies....
8 Pages (2000 words) Essay

The Reasons for Consuming Fast Food

Fast foods encompass a convenient and affordable set of food offerings which are often termed as convenience food as they are easy to prepare and are economical as well.... However, fast food is identified to possess low nutritional value, low calorie and high fat along with… Consequently, fast food is often determined to be the cause of several health related problems that include obesity, overweight, cardiovascular diseases and diabetes....
13 Pages (3250 words) Essay

Use of Psychological Interventions by Nurses in Improving Quality Health Care

While medical interventions might be assumed to have significant a effect on the recovery of patients, others are also utilized to quicken the recovery process.... The paper "Use of Psychological Interventions by Nurses in Improving Quality Health Care" states that the study populations are heterogeneous and the generalization of the results could result in wrong conclusions if applied within a single platform of meta-analysis research....
15 Pages (3750 words) Essay

Explosive volcanism on Mercury and the Moon: Insights into the nature of sub-surface magma storage

With a diameter of 154-km of Ionian-like pyroclastic ring is found around a central elongate vent structure in southern Orientale basin.... It is a critical process on the terrestrial planet.... It is influenced a lot by the presence of volatiles within and out-gassing of interiors of the earth in space and time....
5 Pages (1250 words) Essay

Measuring the Electrical Resistivity of a Wire

The following factors affect the resistance of a wire;… We used the diameter (thickness) of a wire as our primary factor in our experiment. Ohms law of resistance relates the Voltage (V), Current (I), and resistance R of the conductor through which the current For a piece of the conductor, its resistance is determined using the following relationship; Where, L is the length of the wire where the voltage is measured, and A is the area of the cross-section of the wire....
6 Pages (1500 words) Lab Report

Critical Appraisal of a Medical Study

The assignment "Critical Appraisal of a Medical Study" presents in a form of questions/answers a review of a paper "Abdominal surgery, pain and anxiety: preoperative nursing intervention" examining the consequences of preoperative nursing intervention towards pain and anxiety related to abdominal surgery....
6 Pages (1500 words) Assignment

Wind Power System for Isolated Applications

This essay analyzes that among the possible energy sources, wind energy is one of the most promising and feasible sources in some places.... (Mutschler, 2002, 11).... Wind energy, as a renewable energy source, has the potential of being cost-effective and has a high capacity factor.... hellip; The researcher states that wind energy, as a renewable energy source, has the potential of being cost-effective and has a high capacity factor....
11 Pages (2750 words) Research Paper
sponsored ads
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Contact Us