Question

A research psychologist wishes to investigate the difference in maze test scores for a strain of...

A research psychologist wishes to investigate the difference in maze test scores for a strain of laboratory mice trained under different laboratory conditions. The experiment is conducted using 18 randomly selected mice of this strain, with six receiving no training at all (control group), six trained under condition 1, and six trained under condition 2. Then each of the mice is given a test score between 0 and 10, depending on its performance in a test maze. A higher score is better performance. The experiment produced the results in the table.

     Control             Condition 1         Condition 2

     5.8                 7.3                 5.3

     3.2                 7.0                 7.4

     5.9                 6.8                 7.2

     6.4                 7.1                 6.2

     5.5                 6.0                 5.8

     4.9                 6.2                 6.1

Homework Answers

Answer #1

The hypothesis being tested is:

H0: µ1 = µ2 = µ3

Ha: Not all means are equal

Mean n Std. Dev
5.28 6 1.134 Control
6.73 6 0.520 Condition 1
6.33 6 0.814 Condition 2
6.12 18 1.024 Total
ANOVA table
Source SS    df MS F    p-value
Treatment 6.730 2 3.3650 4.55 .0286
Error 11.095 15 0.7397
Total 17.825 17

The p-value is 0.0286.

Since the p-value (0.0286) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that there is a difference in maze test scores for a strain of laboratory mice trained under different laboratory conditions.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
An important statistical measurement in service facilities (such as restaurants and banks) is the variability in...
An important statistical measurement in service facilities (such as restaurants and banks) is the variability in service times. As an experiment, two bank tellers were observed, and the service times for each of 100 customers were recorded. Do these data allow us to infer at the 5% significance level that the variance in service times differs between the two tellers? Estimate with 95% confidence the ratio of variances of the two bank tellers. Teller 1 Teller 2 7.2 10.9 5.4...
eBook To test for any significant difference in the mean number of hours between breakdowns for...
eBook To test for any significant difference in the mean number of hours between breakdowns for four machines, the following data were obtained. Machine 1 Machine 2 Machine 3 Machine 4 6.4 8.7 11.1 9.9 7.8 7.4 10.3 12.8 5.3 9.4 9.7 12.1 7.4 10.1 10.3 10.8 8.4 9.2 9.2 11.3 7.3 9.8 8.8 11.5 The mean times between breakdowns are 7.1, 9.1, 9.9 and 11.4 hours respectively. In the analysis of variance, MSTR = 19.26 and MSE = .97....
Med Student Sleep Average (Raw Data, Software Required): Here we consider a small study on the...
Med Student Sleep Average (Raw Data, Software Required): Here we consider a small study on the sleep habits of med students and non-med students. The study consists of the hours of sleep per night obtained from 30non-med students and 25 med students. The sample data is given in the table below. Test the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students. Test this claim at the 0.01 significance...
We wish to determine the impact of Specification Buying, X11, on Satisfaction Level, X10. To do...
We wish to determine the impact of Specification Buying, X11, on Satisfaction Level, X10. To do so we will split the Hatco data file into two separate data sets based on the Specification Buying, X11. This variable has two categories: 1=employs total value analysis approach, evaluating each purchase separately; 0 = use of specification buying. Sort the entire Hatco data set based on Specification Buying. This will create two separate groups of records. Those records with X11 = 0 and...
To test for any significant difference in the mean number of hours between breakdowns for four...
To test for any significant difference in the mean number of hours between breakdowns for four machines, the following data were obtained. Machine 1 Machine 2 Machine 3 Machine 4 6.4 8.7 11.1 9.9 7.8 7.4 10.3 12.8 5.3 9.4 9.7 12.1 7.4 10.1 10.3 10.8 8.4 9.2 9.2 11.3 7.3 9.8 8.8 11.5 The mean times between breakdowns are 7.1, 9.1, 9.9 and 11.4 hours respectively. In the analysis of variance, MSTR = 19.26 and MSE = .97. Use...
To test for any significant difference in the mean number of hours between breakdowns for four...
To test for any significant difference in the mean number of hours between breakdowns for four machines, the following data were obtained. Machine 1 Machine 2 Machine 3 Machine 4 6.4 8.7 11.1 9.9 7.8 7.4 10.3 12.8 5.3 9.4 9.7 12.1 7.4 10.1 10.3 10.8 8.4 9.2 9.2 11.3 7.3 9.8 8.8 11.5 The mean times between breakdowns are 7.1, 9.1, 9.9 and 11.4 hours respectively. In the analysis of variance, MSTR = 19.26 and MSE = .97. Use...
Experiment 1: Titrations With Hot Taco Sauce and Ketchup Materials: (2) 250 mL Beakers 100 mL...
Experiment 1: Titrations With Hot Taco Sauce and Ketchup Materials: (2) 250 mL Beakers 100 mL Beaker (waste beaker) 30 mL Syringe Syringe stopcock 100 mL Graduated cylinder Funnel Stir rod Ring stand Ring Clamp pH meter Scale 20 mL 0.1M NaOH 2 Ketchup packets 2 Hot sauce packets *90 mL Distilled water *Scissors *Computer Access *Access to a Graphing Software *Procedure for creating this solution provided in the "Before You Begin..." section (located at the beginning of the manual)....