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Q: When is heat fixing appropriate to a negative stain on a bacterial sample?
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What is culture negative bacterial endocarditis?

Endocarditis is an inflammation of the endocardium (part of the heart), and if it is bacterial, the cause for it is bacteria. The part of the term culture negative, means that they tried to grow the bacteria in the lab after taking a blood sample, and were unable to get it to grow.


What is Passing a slide sample through a flame is called?

heat fixing


Can the variance of a sample be negaTIve?

No.


What would be the result of overheating the bacterial smear?

your sample can destroy the bacteria and it will appear shapeless or enlarged when you overheat the bacterial smear


Does the number of bacteria recorded by the standard plate count method accurately reflect the total bacterial count from the sample?

No. The standard plate count method is an indirect measurement of cell density of only viable bacterial cells. Optical density counting measure entire bacterial sample, the living as well as the dead bacterial cells.


What is the Excessive numbers of other bacteria in a sample that can interfere with counting coliform is called?

The excessive numbers of other bacteria in a sample that can interfere with counting coliform is called bacterial interference or bacterial overgrowth. This can lead to inaccurate results when trying to quantify coliform bacteria in the sample.


Can the sample mean be a negative number?

Yes, it can.


What effect may bacterial contamination have on urine pH?

Bacterial contamination will cause no effects if the sample is tested directly after collection. However, if the sample is allowed to sit, bacteria will multiply and raise the urine pH. Urine pH above 8 is abnormal.


Can the sample mean in statistics be either positive or negative?

It can have either a negative or positive trend


A proper sample is based on selecting an appropriate set of people when every individual in a population has an equal chance of being selected for the sample it is said to be?

random sample


Disadvantages of a large sample size confidence Interval in statistices?

A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.


State how to minimize error in sampling?

1). Variation in sample eg. Age, Geographic etc. 2). Appropriate sample size